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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2025.1619275</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Mapping the research framework and key trends of coral reefs in the South China Sea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Junhui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3049132/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Fei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Heshan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Xueping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Island Research Center, Ministry of Natural Resources (MNR)</institution>, <addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Fujian Provincial Key Laboratory of Island Conservation and Development</institution>, <addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Observation and Research Station of Island and Coastal Ecosystem in the Western Taiwan Strait, Ministry of Natural Resources (MNR)</institution>, <addr-line>Xiamen, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Songlin Liu, South China Sea Institute of Oceanology, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jinlin Liu, Tongji University, China</p>
<p>Jun Zhang, Chinese Academy of Fishery Sciences (CAFS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Junhui Chen, <email xlink:href="mailto:cjh@lreis.ac.cn">cjh@lreis.ac.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1619275</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Chen, Tang, Lin, Huang and Lin</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Tang, Lin, Huang and Lin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The South China Sea, a key biodiversity hotspot in the Central Indo-Pacific, hosts a rich array of coral reef species and marine life but faces growing threats from climate change and human activities. This study systematically analyzes coral reef research in the region using a bibliometric analysis of records from the Web of Science Core Collection. The analysis highlights the diverse roles of contributing countries and their collaborations, with China emerging as a significant contributor to the regional scientific output. Our findings categorize the research into five principal themes through text mining and bibliographic coupling: (1) fundamental physical-biological interactions within reef systems, (2) biodiversity and symbiotic relationships in response to environmental stress, (3) climatic influences and the adaptive responses of reef systems, (4) conservation strategies and management practices for reef resilience, and (5) remote sensing and algorithmic approaches for reef mapping and monitoring. The discussion addresses regional challenges, outlines the identified research framework, and details key trends in South China Sea coral reef research, thereby providing essential information to guide future development and conservation efforts.</p>
</abstract>
<kwd-group>
<kwd>coral reefs</kwd>
<kwd>South China Sea</kwd>
<kwd>bibliometric analysis</kwd>
<kwd>climate change</kwd>
<kwd>research development</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="110"/>
<page-count count="17"/>
<word-count count="7385"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Global Change and the Future Ocean</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The South China Sea, encompassing over 3 million km&#xb2; within the Central Indo-Pacific marine realm, is a critical hotspot for global coral reef biodiversity (<xref ref-type="bibr" rid="B53">Morton and Blackmore, 2001</xref>; <xref ref-type="bibr" rid="B65">Spalding et&#xa0;al., 2007</xref>). Southeast Asia, widely recognized as the global epicenter of coral reef diversity, contains approximately 34% of the world&#x2019;s coral reefs despite occupying only 2.5% of the Earth&#x2019;s total sea surface (<xref ref-type="bibr" rid="B4">Arai, 2015</xref>). Within this region, the South China Sea supports more than half of Southeast Asia&#x2019;s hard coral species diversity, hosting 571 known reef coral species&#x2014;a richness comparable to that of the adjacent Coral Triangle, despite comprising less than 17% of its reef area (<xref ref-type="bibr" rid="B62">Sanciangco et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B26">Huang et&#xa0;al., 2015</xref>). The region is also home to 3,365 marine fish species, accounting for 12% of the global fish catch and supporting the livelihoods of at least 3.7 million people through fisheries that rely on 55% of the world&#x2019;s fishing fleet (<xref ref-type="bibr" rid="B60">Raymond and Welch, 2022</xref>). These coral reefs provide essential ecosystem services, including biodiversity maintenance, tourism, and coastal protection, providing habitat or food for an estimated 25% of all marine species (<xref ref-type="bibr" rid="B29">Hughes et&#xa0;al., 2017</xref>). Coral reefs also function as natural coastal defenses, reducing erosion and buffering against storm impacts. Furthermore, they are vital breeding and nursery grounds for both open-ocean and bottom-dwelling fish species, which in turn support regional capture fisheries (<xref ref-type="bibr" rid="B56">Oakley and Pilcher, 1996</xref>; <xref ref-type="bibr" rid="B4">Arai, 2015</xref>; <xref ref-type="bibr" rid="B105">Yuan et&#xa0;al., 2024</xref>).</p>
<p>Despite their ecological and socioeconomic significance, the coral reefs of the South China Sea face mounting pressures from both environmental degradation and geopolitical tensions (<xref ref-type="bibr" rid="B87">Xiao et&#xa0;al., 2022</xref>). For decades, territorial disputes involving China, Vietnam, the Philippines, Malaysia, Indonesia, and Brunei have persisted, with overlapping claims to territorial and maritime jurisdiction remaining unresolved (<xref ref-type="bibr" rid="B84">Welch, 2017</xref>). These conflicts, compounded by strategic interests from non-claimant states such as the United States, which champions freedom of navigation and the rule of law, have impeded cohesive conservation efforts (<xref ref-type="bibr" rid="B60">Raymond and Welch, 2022</xref>). Consequently, the South China Sea has received less conservation focus than the Coral Triangle, despite its comparable biodiversity and critical role in supporting human populations (<xref ref-type="bibr" rid="B62">Sanciangco et&#xa0;al., 2013</xref>).</p>
<p>Given these challenges, effective management of the South China Sea&#x2019;s coral reefs requires a comprehensive understanding of existing research efforts. This study employs a bibliometric approach to systematically review research on coral reefs in the South China Sea, utilizing records from the Web of Science Core Collection. By analyzing publication trends, thematic priorities, and collaborative networks, we aim to map the evolution of the field and highlight key research areas. This synthesis provides a scientific basis for informing future research directions and management strategies to protect these vital ecosystems amid ongoing geopolitical and environmental pressures.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methodology</title>
<sec id="s2_1">
<label>2.1</label>
<title>Data</title>
<p>In order to extract as many relevant studies as possible from the target literature, using a well-structured research protocol has been widely highlighted in the literature as one of the most important prerequisites in conducting systematic reviews. On this basis, a structured search string was formulated using different combinations of the keywords &#x201c;coral reefs&#x201d; and &#x201c;South China Sea&#x201d; as the two main concepts that shape the present review. Considering the South China Sea is a politically sensitive and geographically complex area, with different countries and regions adopting distinct names and territorial claims, the various names and geographic terms used to refer to the South China Sea in different countries and regions were designed. Consequently, the following search string was constructed to collect articles from the Web of Science database: (&#x201c;coral reef*&#x201d; OR &#x201c;reef-building coral*&#x201d; OR &#x201c;coral ecosystem*&#x201d; OR &#x201c;coral reef* ecosystem*&#x201d; OR &#x201c;coral community*&#x201d;) AND (&#x201c;South China Sea&#x201d; OR &#x201c;SCS&#x201d; OR &#x201c;Xisha*&#x201d; OR &#x201c;Nansha*&#x201d; OR &#x201c;Zhongsha*&#x201d; OR &#x201c;Paracel Islands&#x201d; OR &#x201c;Spratly Islands&#x201d; OR &#x201c;Scarborough Shoal&#x201d; OR &#x201c;Huangyan*&#x201d; OR &#x201c;Weizhou Island&#x201d; OR &#x201c;Dongsha*&#x201d; OR &#x201c;meiji*&#x201d; OR &#x201c;Yongxing*&#x201d; OR &#x201c;Macclesfield Bank&#x201d;). The inclusion of terms such as &#x201c;Xisha,&#x201d; &#x201c;Nansha,&#x201d; and &#x201c;Zhongsha&#x201d; reflects the Chinese terminology, while &#x201c;Paracel Islands,&#x201d; &#x201c;Spratly Islands,&#x201d; and &#x201c;Scarborough Shoal&#x201d; correspond to internationally recognized names or terms used in neighboring countries. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> summarizes the steps taken in this research to construct the final sample. The exclusive use of the Web of Science database for this study was primarily driven by its reputation as a consistent and reliable dataset for bibliometric mapping. This choice aligns with established practices in various research fields, including studies on biomass energy, climate change vulnerability, and cultural heritage (<xref ref-type="bibr" rid="B78">Wang et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B46">Mao et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B74">Vlase and L&#xe4;hdesm&#xe4;ki, 2023</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Steps of the data collection process.</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<td valign="top" align="left">Seach query</td>
<td valign="top" align="left">TS = ((&#x201c;coral reef*&#x201d; OR &#x201c;reef-building coral*&#x201d; OR &#x201c;coral ecosystem*&#x201d; OR &#x201c;coral reef* ecosystem*&#x201d; OR &#x201c;coral community*&#x201d;) AND (&#x201c;South China Sea&#x201d; OR &#x201c;SCS&#x201d; OR &#x201c;Xisha*&#x201d; OR &#x201c;Nansha*&#x201d; OR &#x201c;Zhongsha*&#x201d; OR &#x201c;Paracel Islands&#x201d; OR &#x201c;Spratly Islands&#x201d; OR &#x201c;Scarborough Shoal&#x201d; OR &#x201c;Huangyan*&#x201d; OR &#x201c;Weizhou Island&#x201d; OR &#x201c;Dongsha*&#x201d; OR &#x201c;meiji*&#x201d; OR &#x201c;Yongxing*&#x201d; OR &#x201c;Macclesfield Bank&#x201d;))</td>
</tr>
<tr>
<td valign="top" align="left">Field mined</td>
<td valign="top" align="left">Article titles, abstracts, author keywords, and keywords plus</td>
</tr>
<tr>
<td valign="top" align="left">Database</td>
<td valign="top" align="left">Web of Science</td>
</tr>
<tr>
<td valign="top" align="left">Document types</td>
<td valign="top" align="left">Article, Proceeding Papper, and Review Article</td>
</tr>
<tr>
<td valign="top" align="left">Search date</td>
<td valign="top" align="left">March 15, 2025</td>
</tr>
<tr>
<td valign="top" align="left">Sample</td>
<td valign="top" align="left">769</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Analysis approach</title>
<p>Bibliometric analysis is a statistical method used to evaluate extensive scientific output and has become widely adopted for mapping research fields (<xref ref-type="bibr" rid="B78">Wang et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B67">Syamimi et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B106">Zeng et&#xa0;al., 2024</xref>). By establishing links among articles, journals, authors, keywords, citations, and co-citation networks, it helps researchers identify key themes, emerging trends, and potential future developments. In this study, we employed VOSviewer (version 1.6.19, developed by Van Eck &amp; Waltman) to perform our bibliometric analysis (<xref ref-type="bibr" rid="B71">van Eck and Waltman, 2010</xref>). We then mapped the scientific output on coral reefs in the South China Sea, focusing on key indicators such as: (i) geographical distribution of publications, (ii) author productivity and influence, (iii) core journals, (iv) influential articles, and (v) keyword analysis to uncover research trends and focal points. Additionally, we conducted a text mining analysis using a term co-occurrence algorithm on the titles and abstracts of 769 articles, utilizing the text mining module of VOSviewer (<xref ref-type="bibr" rid="B72">van Eck and Waltman, 2011</xref>), to further refine our sample.</p>
<p>The constructure of the map involves three key steps. Firstly, a similarity matrix is computed from the co-occurrence matrix. This process involves assessing the similarity between each pair of items by evaluating the frequency of their co-occurrences relative to their individual or joint occurrences with other items. Second, the VOS mapping technique positions items in a low-dimensional space by minimizing a weighted sum of squared Euclidean distances between all pairs, subject to the constraint that the average distance equals one to prevent trivial layouts. Finally, to overcome local optima, the resulting configuration is translated, rotated, and reflected, which preserves relative distances while ensuring a globally optimized solution (<xref ref-type="bibr" rid="B71">van Eck and Waltman, 2010</xref>). All the analysis is accomplished in the VOSviewer software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1" sec-type="results">
<label>3.1</label>
<title>Results of literature quantity analysis</title>
<p>As can be seen from <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, three distinct stages can be identified. Research on coral reefs in the South China Sea started relatively late, with the first related publications appearing in 1987. Before 2013, the number of publications fluctuated at a low level, with an average annual count of fewer than 20. From 2013 to 2019, the annual publication count increased steadily, ranging between 20 and 50. Since 2019, there has been a marked year-by-year increase in publications, reaching 101 papers by 2024. The count for 2025 only comprises publications up to March 15, which explains the lower figure.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distribution of coral reef publications in the South China Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g001.tif">
<alt-text content-type="machine-generated">Bar chart showing the number of published papers from 1987 to 2025. There is a gradual increase, with significant growth from 2013 onwards. In 2022, the number peaked at 101, then decreased to 22 in 2025.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Performance of countries, institutions, and authors</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Cooperation network of countries</title>
<p>The spatial and geographic distribution of articles offers insight into the leading countries contributing to coral reef research in the South China Sea since 1999. A total of 45 regions have published articles in this field, with 42 of them forming part of a co-authorship network. <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> illustrates the co-authorship network among these countries, where the size of each node represents the number of articles published by that region, and the thickness of the links reflects the strength of co-authorship ties between pairs of regions. <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> lists the top 10 regions ranked by the number of published articles, collaborating regions (number of links), total co-authored articles (total link strength), and the number of citations received.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The countries&#x2019; co-authorship network of coral reef research in the South China Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g002.tif">
<alt-text content-type="machine-generated">Network diagram illustrating collaborations between various countries, with &#x201c;People's Republic of China&#x201d; as the central node. Lines connect it to other nodes, such as the USA, Germany, and Australia, representing relationships. Each node is colored differently, indicating distinct groupings.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Top 10 regions in terms of the number of published articles, number of co-author region, total number of co-authorship, and the number of cites to their articles.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Rank</th>
<th valign="middle" align="center">Published articles</th>
<th valign="middle" align="center">Number of co-author countries</th>
<th valign="middle" align="center">Total number of co-authorship</th>
<th valign="middle" align="center">Citations</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">China (550)</td>
<td valign="middle" align="left">China (33)</td>
<td valign="middle" align="left">China (167)</td>
<td valign="middle" align="left">China (9682)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">Australia (71)</td>
<td valign="middle" align="left">USA (25)</td>
<td valign="middle" align="left">USA (97)</td>
<td valign="middle" align="left">Australia (3405)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">USA (70)</td>
<td valign="middle" align="left">Netherlands (24)</td>
<td valign="middle" align="left">Australia (86)</td>
<td valign="middle" align="left">USA (2737)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">Taiwan, China (60)</td>
<td valign="middle" align="left">Taiwan, China (23)</td>
<td valign="middle" align="left">Taiwan, China (77)</td>
<td valign="middle" align="left">Taiwan, China (1445)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">Malaysia (58)</td>
<td valign="middle" align="left">Germany, Malaysia (19)</td>
<td valign="middle" align="left">Malaysia (64)</td>
<td valign="middle" align="left">Malaysia (784)</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">Russia (31)</td>
<td valign="middle" align="left">Australia (17)</td>
<td valign="middle" align="left">Netherlands (52)</td>
<td valign="middle" align="left">Netherlands (749)</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">Vietnam (22)</td>
<td valign="middle" align="left">Singapore, Vietnam (15)</td>
<td valign="middle" align="left">Germany (40)</td>
<td valign="middle" align="left">Germany (601)</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">Germany (21)</td>
<td valign="middle" align="left">Philippines (14)</td>
<td valign="middle" align="left">Singapore, Vietnam (38)</td>
<td valign="middle" align="left">Russia (554)</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">Singapore (19)</td>
<td valign="middle" align="left">England, Indonesia, Thailand (11)</td>
<td valign="middle" align="left">Philippines (28)</td>
<td valign="middle" align="left">Singapore (508)</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">Japan, Netherlands (18)</td>
<td valign="middle" align="left">Brunei (10)</td>
<td valign="middle" align="left">Russia (26)</td>
<td valign="middle" align="left">Philippines (481)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As detailed in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <italic>China</italic> leads across all four metrics, with 550 published articles, 33 collaboration links, 167 co-authorships, and 9,682 citations. While the second and third positions vary by metric, <italic>Taiwan, China</italic> ranks fourth with 60 articles, 23 collaborating countries, 77 co-authorships, and 1,445 citations. <italic>Malaysia</italic> follows in fifth place with 58 articles, 19 collaborating countries, 64 co-authorships, and 784 citations. <italic>Australia, the USA, Germany, Singapore</italic>, and the <italic>Netherlands</italic> are consistently among the top 10 contributors across all four metrics, though their specific rankings vary. As shown by the strength of the links in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, <italic>China</italic>&#x2019;s strongest collaborative ties are with the <italic>USA</italic> (38 co-authorships) and <italic>Australia</italic> (34 co-authorships), representing the most significant partnerships within the network.</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Cooperation network of authors</title>
<p>Authors play a crucial role in evaluating the development of an academic field. A total of 2,661 authors have contributed to coral reef research in the South China Sea, with 112 authors having published at least five articles. <xref ref-type="table" rid="T3">
<bold>Tables&#xa0;3</bold>
</xref> and <xref ref-type="table" rid="T4">
<bold>4</bold>
</xref> list the most productive authors (based on the number of published articles) and the most influential authors (based on citation counts), respectively, along with their number of co-authors and co-authorships. According to these rankings, Yu Kefu is the most productive and influential author among the 2,661 contributors. Wang Yinghui ranks second in productivity and third in influence, while Huang Xueyong ranks third in productivity and second in influence.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The most productive authors in the coral reef research in the South China Sea.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Author</th>
<th valign="middle" align="center">Articles</th>
<th valign="middle" align="center">Citations</th>
<th valign="middle" align="center">Co-authors</th>
<th valign="middle" align="center">Total co-authorship</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Yu, Kefu</td>
<td valign="middle" align="center">124</td>
<td valign="middle" align="center">2489</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">420</td>
</tr>
<tr>
<td valign="middle" align="center">Wang, Yinghui</td>
<td valign="middle" align="center">39</td>
<td valign="middle" align="center">1057</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">179</td>
</tr>
<tr>
<td valign="middle" align="center">Huang, Xueyong</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">813</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">179</td>
</tr>
<tr>
<td valign="middle" align="center">Huang, Hui</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">662</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">88</td>
</tr>
<tr>
<td valign="middle" align="center">Chen, Biao</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">351</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">111</td>
</tr>
<tr>
<td valign="middle" align="center">Shi, Qi</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">492</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">82</td>
</tr>
<tr>
<td valign="middle" align="center">Bachok, Zainudin</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">131</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">25</td>
</tr>
<tr>
<td valign="middle" align="center">Qin, Zhenjun</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">98</td>
</tr>
<tr>
<td valign="middle" align="center">Zhao, Jianxin</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">449</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">57</td>
</tr>
<tr>
<td valign="middle" align="center">Zhang, Ruijie</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">555</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">72</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The most influential authors in the coral reef research in the South China Sea.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Author</th>
<th valign="middle" align="center">Citations</th>
<th valign="middle" align="center">Articles</th>
<th valign="middle" align="center">Co-authors</th>
<th valign="middle" align="center">Total co-authorship</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Yu, Kefu</td>
<td valign="middle" align="right">2489</td>
<td valign="middle" align="right">124</td>
<td valign="middle" align="right">51</td>
<td valign="middle" align="center">420</td>
</tr>
<tr>
<td valign="middle" align="center">Wang, Yinghui</td>
<td valign="middle" align="right">1057</td>
<td valign="middle" align="right">39</td>
<td valign="middle" align="right">36</td>
<td valign="middle" align="center">179</td>
</tr>
<tr>
<td valign="middle" align="center">Huang, Xueyong</td>
<td valign="middle" align="right">813</td>
<td valign="middle" align="right">37</td>
<td valign="middle" align="right">29</td>
<td valign="middle" align="center">179</td>
</tr>
<tr>
<td valign="middle" align="center">Huang, Hui</td>
<td valign="middle" align="right">662</td>
<td valign="middle" align="right">34</td>
<td valign="middle" align="right">23</td>
<td valign="middle" align="center">88</td>
</tr>
<tr>
<td valign="middle" align="center">Zhang, Ruijie</td>
<td valign="middle" align="right">555</td>
<td valign="middle" align="right">17</td>
<td valign="middle" align="right">15</td>
<td valign="middle" align="center">72</td>
</tr>
<tr>
<td valign="middle" align="center">Shi, Qi</td>
<td valign="middle" align="right">492</td>
<td valign="middle" align="right">21</td>
<td valign="middle" align="right">19</td>
<td valign="middle" align="center">82</td>
</tr>
<tr>
<td valign="middle" align="center">Zhao, Jianxin</td>
<td valign="middle" align="right">449</td>
<td valign="middle" align="right">18</td>
<td valign="middle" align="right">20</td>
<td valign="middle" align="center">57</td>
</tr>
<tr>
<td valign="middle" align="center">Qin, Zhenjun</td>
<td valign="middle" align="right">416</td>
<td valign="middle" align="right">19</td>
<td valign="middle" align="right">14</td>
<td valign="middle" align="center">98</td>
</tr>
<tr>
<td valign="middle" align="center">Chen, Biao</td>
<td valign="middle" align="right">351</td>
<td valign="middle" align="right">21</td>
<td valign="middle" align="right">18</td>
<td valign="middle" align="center">111</td>
</tr>
<tr>
<td valign="middle" align="center">Bachok, Zainudin</td>
<td valign="middle" align="right">131</td>
<td valign="middle" align="right">19</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">25</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Cooperation network of organizations</title>
<p>Understanding the leading organizations in a specific research area can be achieved by analyzing inter-organizational collaborations. To identify the key research institutions, we listed the top 10 organizations with the highest number of publications (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>) and created a co-authorship network map (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) using VOSviewer. Among the top 10 organizations, eight are from China, while the remaining two are from Australia and Malaysia. The Chinese Academy of Sciences leads with 250 publications, followed by Guangxi University with 113 publications. The other organizations have published fewer than 100 papers. In terms of Citations Per Paper (CPP), University of Queensland, ranked eighth in total publications, holds the highest CPP at 51.2. Xiamen University ranks second with a CPP of 22.5, followed by Chinese Academy of Sciences with 21 CPP.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Organizations with the most publications in the coral reef research in the South China Sea.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Rank</th>
<th valign="middle" align="center">Organization</th>
<th valign="middle" align="center">Country</th>
<th valign="middle" align="center">Publications</th>
<th valign="middle" align="center">Proportion</th>
<th valign="middle" align="center">Citations</th>
<th valign="middle" align="center">Citations per paper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">Chinese Academy of Sciences</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">250</td>
<td valign="middle" align="center">38.6%</td>
<td valign="middle" align="center">5238</td>
<td valign="middle" align="center">21.0</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Guangxi University</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">113</td>
<td valign="middle" align="center">17.4%</td>
<td valign="middle" align="center">1692</td>
<td valign="middle" align="center">15.0</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">University of Chinese Academy of Sciences</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">13.7%</td>
<td valign="middle" align="center">1327</td>
<td valign="middle" align="center">14.9</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">81</td>
<td valign="middle" align="center">12.5%</td>
<td valign="middle" align="center">566</td>
<td valign="middle" align="center">7.0</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Ministry of Natural Resources</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">6.5%</td>
<td valign="middle" align="center">790</td>
<td valign="middle" align="center">18.8</td>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">Universiti Malaysia Terengganu</td>
<td valign="middle" align="left">Malaysia</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">5.2%</td>
<td valign="middle" align="center">349</td>
<td valign="middle" align="center">10.3</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">5.1%</td>
<td valign="middle" align="center">435</td>
<td valign="middle" align="center">13.2</td>
</tr>
<tr>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">University of Queensland</td>
<td valign="middle" align="left">Australia</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">4.9%</td>
<td valign="middle" align="center">1638</td>
<td valign="middle" align="center">51.2</td>
</tr>
<tr>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">Xiamen University</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">4.6%</td>
<td valign="middle" align="center">675</td>
<td valign="middle" align="center">22.5</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">Chinese Academy of Fishery Sciences</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">4.5%</td>
<td valign="middle" align="center">146</td>
<td valign="middle" align="center">5.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Mapping knowledge domain of coauthoring organizations in the coral reef research in the South China Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g003.tif">
<alt-text content-type="machine-generated">Network visualization of academic institutions with nodes representing different universities and research organizations, connected by lines. Chinese Academy of Sciences is central, linked to various other institutions such as University of Chinese Academy of Sciences, Guangxi University, and others. The connections demonstrate collaborations or relationships between these entities. Different colors and sizes of nodes indicate varying degrees of connectivity and significance in the network.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> shows the co-authorship network of research organizations, where each node represents an organization, with the node size indicating the number of publications. The thickness of the connecting lines reflects the strength of collaboration between two organizations. The Chinese Academy of Sciences appears as the largest node, followed by the University of Chinese Academy of Sciences and the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou). The Chinese Academy of Sciences also has the strongest collaborative ties with other institutions, with its closest connection to the University of Chinese Academy of Sciences, followed by the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) and Guangxi University.</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Performance of journals, citations, and keywords</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Citation analysis on relevant journals</title>
<p>The 769 articles on coral reef research in the South China Sea within our dataset have been published in 275 journals. Among these, 42 journals have published at least five articles. <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref> and <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref> present the top journals based on the number of published articles and citations, respectively. As shown in the figures, <italic>Science of the Total Environment</italic> leads in both the number of published articles and total citations. <italic>Frontiers in Marine Science</italic> ranks second in the number of published articles, while <italic>Marine Pollution Bulletin</italic> is the second most influential journal in terms of citations. Notably, there is a considerable gap between the second and third-ranked journals in both productivity and influence. Specifically, <italic>Science of the Total Environment</italic> and <italic>Frontiers in Marine Science</italic> have published 34 and 33 articles, respectively, while <italic>Marine Pollution Bulletin</italic>, the third-ranked journal in terms of productivity, has published 24 articles. Similarly, in terms of citations, <italic>Science of the Total Environment</italic> and <italic>Marine Pollution Bulletin</italic> have received 670 and 657 citations, respectively, which are significantly higher than the 479 citations received by <italic>Journal of Geophysical Research-Oceans</italic>. This highlights <italic>Science of the Total Environment</italic> as the leading journal in coral reef research in the South China Sea.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Top productive journals in terms of published articles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g004.tif">
<alt-text content-type="machine-generated">Horizontal bar chart showing the number of articles published in various journals. &#x201c;Science of the Total Environment&#x201d; leads with 34 articles, followed by &#x201c;Frontiers in Marine Science&#x201d; with 33. Other journals include &#x201c;Marine Pollution Bulletin&#x201d; (24), and &#x201c;Palaeogeography Palaeoclimatology Palaeoecology&#x201d; (23), among others.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Top influential journals in terms of the number of citations to their articles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g005.tif">
<alt-text content-type="machine-generated">Bar chart displaying the number of citations for journals. &#x201c;Science of the Total Environment&#x201d; leads with 670 citations, followed by &#x201c;Marine Pollution Bulletin&#x201d; with 657. Other journals include &#x201c;Journal of Geophysical Research-Oceans&#x201d; with 479, &#x201c;PLoS ONE&#x201d; with 470, and &#x201c;Environmental Pollution&#x201d; with 406. Additional journals and their citations range from 360 to 241.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>The analysis on articles</title>
<p>This section presents two primary analyses, focusing on the citations received by the articles and their bibliographic coupling.</p>
<sec id="s3_3_2_1">
<label>3.3.2.1</label>
<title>Influential articles</title>
<p>One way to assess the influence of an article in a specific research field is by examining the number of times it has been cited. <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref> lists the top 10 most cited articles on coral reef research in the South China Sea. As shown in the table, the most influential article, with 630 citations, is a study by (<xref ref-type="bibr" rid="B54">Murray et&#xa0;al., 2019</xref>) that highlights the global loss, degradation, and fragmentation of coastal ecosystems, including coral reefs, tidal flats, and mangroves. Similarly, a global review of nutrients, metals, persistent organic pollutants, and major environmental changes driven by climate change and their effects on coastal ecosystems ranks eighth with 227 citations (<xref ref-type="bibr" rid="B43">Lu et&#xa0;al., 2018</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Top 10 highly cited articles in the coral reef research in the South China Sea.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Rank</th>
<th valign="middle" align="left">Author</th>
<th valign="middle" align="left">Title</th>
<th valign="middle" align="left">Journal</th>
<th valign="middle" align="center">Citations</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B54">Murray et&#xa0;al. (2019)</xref>
</td>
<td valign="middle" align="left">The global distribution and trajectory of tidal flats</td>
<td valign="middle" align="left">Nature</td>
<td valign="middle" align="center">630</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B52">Montaggioni (2005)</xref>
</td>
<td valign="middle" align="left">History of Indo-Pacific coral reef systems since the last glaciation: Development patterns and controlling factors</td>
<td valign="middle" align="left">Earth-Science Reviews</td>
<td valign="middle" align="center">336</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B39">Liu (2013)</xref>
</td>
<td valign="middle" align="left">Status of Marine Biodiversity of the China Seas</td>
<td valign="middle" align="left">PLoS ONE</td>
<td valign="middle" align="center">322</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B77">Wang et&#xa0;al. (2011)</xref>
</td>
<td valign="middle" align="left">Engineering characteristics of the calcareous sand in Nansha Islands, South China Sea</td>
<td valign="middle" align="left">Engineering Geology</td>
<td valign="middle" align="center">302</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B53">Morton and Blackmore (2001)</xref>
</td>
<td valign="middle" align="left">South China sea</td>
<td valign="middle" align="left">Marine Pollution Bulletin</td>
<td valign="middle" align="center">279</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B37">Li et&#xa0;al. (2021)</xref>
</td>
<td valign="middle" align="left">Deep-learning-based information mining from ocean remote-sensing imagery</td>
<td valign="middle" align="left">National Science Review</td>
<td valign="middle" align="center">238</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B44">Ma et&#xa0;al. (2020)</xref>
</td>
<td valign="middle" align="left">Satellite-derived bathymetry using the icesat-2 lidar and Sentinel-2 imagery datasets</td>
<td valign="middle" align="left">Remote Sensing of Environment</td>
<td valign="middle" align="center">233</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B43">Lu et&#xa0;al. (2018)</xref>
</td>
<td valign="middle" align="left">Major threats of pollution and climate change to global coastal ecosystems and enhanced management for sustainability</td>
<td valign="middle" align="left">Environmental Pollution</td>
<td valign="middle" align="center">227</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B99">Yu (2012)</xref>
</td>
<td valign="middle" align="left">Coral reefs in the South China Sea: Their response to and records on past environmental changes</td>
<td valign="middle" align="left">Science China Earth Sciences</td>
<td valign="middle" align="center">206</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">
<xref ref-type="bibr" rid="B15">Ding et&#xa0;al. (2019)</xref>
</td>
<td valign="middle" align="left">Microplastics in the Coral Reef Systems from Xisha Islands of South China Sea</td>
<td valign="middle" align="left">Environmental Science &amp; Technology</td>
<td valign="middle" align="center">187</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>At the regional scale, several influential articles focus on the South China Sea and surrounding areas. <xref ref-type="bibr" rid="B52">Montaggioni (2005)</xref>, explores the postglacial development patterns of Indo-Pacific coral reefs, ranking second with 366 citations. <xref ref-type="bibr" rid="B39">Liu (2013)</xref> examines the biodiversity of tropical coral reefs, securing the third spot with 322 citations. The South China Sea&#x2019;s biodiversity hotspots and associated challenges are discussed by (<xref ref-type="bibr" rid="B53">Morton and Blackmore, 2001</xref>), ranking fifth with 279 citations. <xref ref-type="bibr" rid="B99">Yu (2012)</xref> analyzes the ecological sensitivity and paleoenvironmental records of coral reefs in the South China Sea, ranking ninth with 206 citations.</p>
<p>Other influential studies focus on specific aspects of islands in the South China Sea. <xref ref-type="bibr" rid="B77">Wang et&#xa0;al. (2011)</xref> investigate the geotechnical properties of calcareous sands from Yongshu Reef, placing fourth in influence. <xref ref-type="bibr" rid="B15">Ding et&#xa0;al. (2019)</xref> discuss microplastic contamination in the coral reef ecosystems of the Xisha Islands, ranking tenth.</p>
<p>Moreover, novel methods for monitoring coral reef ecosystems are also featured among the most influential articles. <xref ref-type="bibr" rid="B44">Ma et&#xa0;al. (2020)</xref> introduces an approach integrating multi-satellite image analysis for empirical bathymetric mapping in shallow waters, validated in the Yongle Atoll, which ranks seventh. <xref ref-type="bibr" rid="B37">Li et&#xa0;al. (2021)</xref> propose using deep learning algorithms to extract coral reef information from underwater imagery, ranking sixth.</p>
</sec>
<sec id="s3_3_2_2">
<label>3.3.2.2</label>
<title>Bibliographic coupling of articles</title>
<p>In order to put the articles in relevant categories and show the main themes of the coral reef research, bibliometric coupling of the articles was conducted based on the references that they share. Out of the 769 research and review articles in our dataset, only 742 documents had at least one common reference with other documents. Therefore, these 742 articles were considered for the bibliographic coupling in this section. <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref> visualizes the articles grouped in three specific clusters, which was based on the Fractionalization method, with Attraction and Repulsion values set to 2 and -1, respectively. The Fractionalization method, by encompassing various similarity measures within a single parameterized formula, offers a unified framework that facilitates the comparison and interpretation of clustering outcomes (<xref ref-type="bibr" rid="B70">Van Eck and Waltman, 2009</xref>). These categories reflect strong internal connections between papers that share significant co-citations and thematic overlaps, identified through bibliographic coupling analysis. Each cluster is addressed by a different color and is named based on the main sense of the articles located in it. The size of the bubble points to the number of citations of the corresponding article and the link between each pair of articles shows their co-occurrence. The top 10 highly cited articles of each category are listed in <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Bibliographic coupling of the articles within the field of coral reefs in the South China Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g006.tif">
<alt-text content-type="machine-generated">A visual representation of research clusters related to coral reef ecosystems, marked by colored bubbles. Cluster A (red) focuses on multi-stressor impacts, Cluster B (green) on environmental change, Cluster C (blue) on biodiversity dynamics, Cluster D (yellow) on bathymetry and habitat monitoring, and Cluster E (purple) on mechanical and geotechnical behavior of coral sand. Dotted lines encircle each cluster, and author names with publication years are scattered throughout.</alt-text>
</graphic>
</fig>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Highly cited articles within the main identified research categories.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="center">Research category A: Multi-stressor impacts on coral reef ecosystems</th>
<th valign="middle" colspan="2" align="center">Research category B: Coral reef archives of environmental change</th>
<th valign="middle" colspan="2" align="center">Research category C: Multi-level biodiversity dynamics in coral reef ecosystems</th>
</tr>
<tr>
<th valign="middle" align="center">Reference</th>
<th valign="middle" align="center">Article citation</th>
<th valign="middle" align="center">Reference</th>
<th valign="middle" align="center">Article citation</th>
<th valign="middle" align="center">Reference</th>
<th valign="middle" align="center">Article citation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B54">Murray et&#xa0;al., 2019</xref>)</td>
<td valign="middle" align="center">630</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B52">Montaggioni, 2005</xref>)</td>
<td valign="middle" align="center">336</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B39">Liu, 2013</xref>)</td>
<td valign="middle" align="center">322</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B37">Li et&#xa0;al., 2021</xref>)</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B20">Goodkin et&#xa0;al., 2011</xref>)</td>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B53">Morton and Blackmore, 2001</xref>)</td>
<td valign="middle" align="center">279</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B43">Lu et&#xa0;al., 2018</xref>)</td>
<td valign="middle" align="center">227</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B85">Wilson, 2008</xref>)</td>
<td valign="middle" align="center">79</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B12">Choat and Clements, 1998</xref>)</td>
<td valign="middle" align="center">183</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B99">Yu, 2012</xref>)</td>
<td valign="middle" align="center">206</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B61">Saha et&#xa0;al., 2016</xref>)</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B26">Huang et&#xa0;al., 2015</xref>)</td>
<td valign="middle" align="center">157</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B15">Ding et&#xa0;al., 2019</xref>)</td>
<td valign="middle" align="center">187</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B102">Yu et&#xa0;al., 2004b</xref>)</td>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B33">Kool et&#xa0;al., 2011</xref>)</td>
<td valign="middle" align="center">114</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B30">Hughes et&#xa0;al., 2013</xref>)</td>
<td valign="middle" align="center">149</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B63">Shao et&#xa0;al., 2017</xref>)</td>
<td valign="middle" align="center">65</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B57">Pin et&#xa0;al., 2001</xref>)</td>
<td valign="middle" align="center">84</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B5">Archana et&#xa0;al., 2018</xref>)</td>
<td valign="middle" align="center">113</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B101">Yu et&#xa0;al., 2004a</xref>)</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B8">Benayahu et&#xa0;al., 2004</xref>)</td>
<td valign="middle" align="center">82</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B23">Herbeck et&#xa0;al., 2011</xref>)</td>
<td valign="middle" align="center">113</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B55">Nguyen et&#xa0;al., 2013</xref>)</td>
<td valign="middle" align="center">59</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B47">Matsuura, 2015</xref>)</td>
<td valign="middle" align="center">72</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B14">Dai et&#xa0;al., 2009</xref>)</td>
<td valign="middle" align="center">107</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B58">Pope and Terrell, 2008</xref>)</td>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B64">Simister et&#xa0;al., 2012</xref>)</td>
<td valign="middle" align="center">70</td>
</tr>
<tr>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B97">Yao and Wang, 2021</xref>)</td>
<td valign="middle" align="center">102</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B17">Fan et&#xa0;al., 2020</xref>)</td>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B49">McManus, 1994</xref>)</td>
<td valign="middle" align="center">57</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="center">Research category D: Coral reef bathymetry and habitat monitoring</th>
<th valign="middle" colspan="3" align="center">Research category E: Mechanical and geotechnical behavior of coral sand</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">Reference</th>
<th valign="middle" align="center">Article citation</th>
<th valign="middle" colspan="2" align="center">Reference</th>
<th valign="middle" align="center">Article citation</th>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B44">Ma et&#xa0;al., 2020</xref>)</td>
<td valign="middle" align="center">233</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B77">Wang et&#xa0;al., 2011</xref>)</td>
<td valign="middle" align="center">302</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B95">Yang et&#xa0;al., 2013</xref>)</td>
<td valign="middle" align="center">54</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B82">Wang et&#xa0;al., 2019</xref>)</td>
<td valign="middle" align="center">101</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B89">Xu et&#xa0;al., 2021b</xref>)</td>
<td valign="middle" align="center">52</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B81">Wang et&#xa0;al., 2017b</xref>)</td>
<td valign="middle" align="center">78</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B66">Su et&#xa0;al., 2019</xref>)</td>
<td valign="middle" align="center">46</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B80">Wang et&#xa0;al., 2017a</xref>)</td>
<td valign="middle" align="center">66</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B94">Yang et&#xa0;al., 2015</xref>)</td>
<td valign="middle" align="center">37</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2021</xref>)</td>
<td valign="middle" align="center">46</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B27">Huang et&#xa0;al., 2017</xref>)</td>
<td valign="middle" align="center">31</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B109">Zhu et&#xa0;al., 2014</xref>)</td>
<td valign="middle" align="center">46</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B108">Zhou et&#xa0;al., 2018</xref>)</td>
<td valign="middle" align="center">27</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B10">Chang-Qi et&#xa0;al., 2016</xref>)</td>
<td valign="middle" align="center">43</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B40">Liu et&#xa0;al., 2019</xref>)</td>
<td valign="middle" align="center">25</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B19">Gao and Ye, 2023</xref>)</td>
<td valign="middle" align="center">38</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B24">Hu et&#xa0;al., 2014</xref>)</td>
<td valign="middle" align="center">25</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B98">Ye et&#xa0;al., 2022</xref>)</td>
<td valign="middle" align="center">37</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B86">Wu et&#xa0;al., 2022</xref>)</td>
<td valign="middle" align="center">24</td>
<td valign="middle" colspan="2" align="center">(<xref ref-type="bibr" rid="B79">Wang et&#xa0;al., 2018</xref>)</td>
<td valign="middle" align="center">36</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The focus of the majority of the papers in research category A (red color in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) is on the multi-stressor impacts on coral reef ecosystems in the South China Sea. Coral cover in South China Sea has declined from an average of&gt;60% to around 20% from 1990s to 2012 (<xref ref-type="bibr" rid="B30">Hughes et&#xa0;al., 2013</xref>). The increasing frequency and duration of marine heatwaves are closely linked to coral bleaching events, acting as a major stressor (<xref ref-type="bibr" rid="B97">Yao and Wang, 2021</xref>). <xref ref-type="bibr" rid="B103">Yu et&#xa0;al. (2012)</xref> further links historical bleaching episodes to El Ni&#xf1;o-induced SST spikes, noting that recovery from mid-Holocene thermal stress required 10&#x2013;30 years. Ocean acidification caused by rising atmospheric CO<sub>2</sub> levels (<xref ref-type="bibr" rid="B14">Dai et&#xa0;al., 2009</xref>) and microplastic contamination (<xref ref-type="bibr" rid="B15">Ding et&#xa0;al., 2019</xref>) place additional pressure on reef ecosystems. Moreover, nutrient enrichment from agricultural runoff (<xref ref-type="bibr" rid="B5">Archana et&#xa0;al., 2018</xref>), typhoon-induced runoff (<xref ref-type="bibr" rid="B23">Herbeck et&#xa0;al., 2011</xref>), and terrestrial pollutants delivered to reefs through river plumes (<xref ref-type="bibr" rid="B43">Lu et&#xa0;al., 2018</xref>) have been shown to alter reef biogeochemistry, further hindering coral recovery.</p>
<p>Coral reef archives of environmental change represent a key focus of research category B, highlighted in green in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>. These studies use coral skeletal geochemistry and stratigraphic records to reconstruct past environmental variations over multiple timescales, ranging from centennial-scale winter cooling events (<xref ref-type="bibr" rid="B102">Yu et&#xa0;al., 2004b</xref>) to 160-year cycles of extreme weather patterns (<xref ref-type="bibr" rid="B101">Yu et&#xa0;al., 2004a</xref>). Additionally, coral skeletal trace metal records, such as rare earth elements (REEs), Ba/Ca, and Mn/Ca ratios, help assess anthropogenic impacts on a decadal scale (<xref ref-type="bibr" rid="B55">Nguyen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B61">Saha et&#xa0;al., 2016</xref>). Historical sea-level reconstructions have also been employed to trace reef initiation during the Early Miocene (<xref ref-type="bibr" rid="B17">Fan et&#xa0;al., 2020</xref>) and to evaluate its impact on carbonate platform evolution (<xref ref-type="bibr" rid="B63">Shao et&#xa0;al., 2017</xref>), while also providing insights into long-term shifts in reef communities (<xref ref-type="bibr" rid="B52">Montaggioni, 2005</xref>; <xref ref-type="bibr" rid="B85">Wilson, 2008</xref>).</p>
<p>Research category C (shown in blue in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) primarily comprises studies focused on multi-level biodiversity dynamics within coral reef ecosystems. Numerous authors have documented the high diversity of marine species in the South China Sea (<xref ref-type="bibr" rid="B49">McManus, 1994</xref>; <xref ref-type="bibr" rid="B53">Morton and Blackmore, 2001</xref>; <xref ref-type="bibr" rid="B39">Liu, 2013</xref>). Factors such as depth, ocean currents, environmental stress, and hydrographic barriers are recognized as key influences on coral reef biodiversity (<xref ref-type="bibr" rid="B57">Pin et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B8">Benayahu et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B33">Kool et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B64">Simister et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B26">Huang et&#xa0;al., 2015</xref>). Additionally, foundational work on the nutritional ecology of marine vertebrate herbivores and the identification of new taxa, primarily from coral reefs and tropical freshwater systems, has been reported (<xref ref-type="bibr" rid="B12">Choat and Clements, 1998</xref>; <xref ref-type="bibr" rid="B47">Matsuura, 2015</xref>).</p>
<p>Category D (highlighted in yellow in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) focuses on coral reef bathymetry and habitat monitoring, a field that has seen notable progress through the integration of multispectral remote sensing and machine learning. These advancements have addressed three key challenges: (1) overcoming data scarcity using ICESat-2/MODIS multi-sensor fusion (<xref ref-type="bibr" rid="B24">Hu et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B44">Ma et&#xa0;al., 2020</xref>); (2) improving depth retrieval accuracy by combining machine learning with physical models (<xref ref-type="bibr" rid="B40">Liu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B89">Xu et&#xa0;al., 2021b</xref>; <xref ref-type="bibr" rid="B86">Wu et&#xa0;al., 2022</xref>); and (3) enhancing habitat monitoring reliability through multi-dimensional feature engineering (<xref ref-type="bibr" rid="B108">Zhou et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B66">Su et&#xa0;al., 2019</xref>). In addition, early studies in this field explored statistical algorithms and geochemical methods for mapping water depth and monitoring environmental conditions (<xref ref-type="bibr" rid="B95">Yang et&#xa0;al., 2013</xref>, <xref ref-type="bibr" rid="B94">2015</xref>; <xref ref-type="bibr" rid="B27">Huang et&#xa0;al., 2017</xref>).</p>
<p>Research category E (highlighted in purple in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) primarily comprises studies on the mechanical and geotechnical behavior of coral sand. Wang Xinzhi is a pioneering researcher in this field, having published six of the top ten articles. His work addresses critical aspects such as bearing capacity (<xref ref-type="bibr" rid="B77">Wang et&#xa0;al., 2011</xref>, <xref ref-type="bibr" rid="B76">2021</xref>), particle obstruction due to irregular grain geometries (<xref ref-type="bibr" rid="B82">Wang et&#xa0;al., 2019</xref>), shear characteristics (<xref ref-type="bibr" rid="B80">Wang et&#xa0;al., 2017a</xref>), and permeability (<xref ref-type="bibr" rid="B81">Wang et&#xa0;al., 2017b</xref>, <xref ref-type="bibr" rid="B79">2018</xref>). Zhu Changqi has contributed two of the top ten articles, focusing on sedimentary evolution and identifying key parameters that control strength (<xref ref-type="bibr" rid="B109">Zhu et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B10">Chang-Qi et&#xa0;al., 2016</xref>). Additionally, recent studies have explored microscale sand mechanics and creep characteristics (<xref ref-type="bibr" rid="B98">Ye et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B19">Gao and Ye, 2023</xref>).</p>
<p>The five identified categories collectively serve the critical aims of addressing climate change and ensuring coral reef protection. Category A is dedicated to understanding the current multi-stressor impacts on coral reef ecosystems. In contrast, Category B utilizes coral reef records to reconstruct past environmental conditions, offering potential insights that can inform protective measures. Category C underscores the ecological significance of coral reefs through its focus on biodiversity. Providing foundational data for conservation, Category D investigates coral reef bathymetry and facilitates habitat monitoring. Lastly, Category E explores the unique mechanical and geotechnical characteristics of coral sand, advocating for its long-term viability in coastal construction due to its inherent resistance to erosion and degradation in saline and severe weather conditions (<xref ref-type="bibr" rid="B22">Hasan et&#xa0;al., 2024</xref>).</p>
</sec>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>The analysis on keywords co-occurrence</title>
<p>The analysis of keyword frequency provides a basis for describing the research domain and the focus of the collected articles. After cleaning the keyword data, 2,179 unique keywords were identified, of which 112 appeared at least four times. A heat map of these 112 keywords, based on their frequencies, was generated using VOSviewer (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Since South China Sea and coral reef were part of the search query, they appear significantly more frequently than other terms and are therefore excluded from <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref> to allow for a clearer analysis of the research domain. Beyond these terms, the most frequently occurring keywords are coral, climate change, and coral bleaching, aligning with the research categories identified through the bibliographic coupling analysis. To facilitate the identification of the most frequent terms, author keywords with more than ten occurrences are listed in <xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>The density visualization map of author keywords within the articles in the research domain.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g007.tif">
<alt-text content-type="machine-generated">Heat map visualization with clusters of terms related to coral reefs and climate change, such as &#x201c;coral bleaching,&#x201d; &#x201c;climate change,&#x201d; &#x201c;sea level,&#x201d; and &#x201c;biodiversity.&#x201d; Central terms appear in red, indicating higher prominence, surrounded by yellow and green gradients, with a blue background. Created using VOSviewer software.</alt-text>
</graphic>
</fig>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>The most frequent author keywords in the research domain.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Rank</th>
<th valign="middle" align="center">Keyword</th>
<th valign="middle" align="center">Frequency</th>
<th valign="middle" align="center">Rank</th>
<th valign="middle" align="center">Keyword</th>
<th valign="middle" align="center">Frequency</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="left">Coral</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="left">Malaysia</td>
<td valign="middle" align="center">13</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="left">Climate change</td>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left">Sea level</td>
<td valign="middle" align="center">13</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="left">Coral bleaching</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="left">Nansha islands</td>
<td valign="middle" align="center">12</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="left">Coral reef fish</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="left">Bioaccumulation</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">Xisha islands</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left">Coral community</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="middle" align="left">Scleractinian coral</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left">Global warming</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="left">Diversity</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left">Hainan</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="left">Remote sensing</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left">Northern South China Sea</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="center">8</td>
<td valign="middle" align="left">Macroalgae</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref> shows that most research has been conducted in the <italic>Xisha Islands, Malaysia, the Nansha Islands, Hainan</italic>, and <italic>the northern South China Sea</italic>. The primary research subjects are reflected in the keywords <italic>coral</italic>, <italic>coral reef fish</italic>, <italic>Scleractinian coral</italic>, <italic>diversity</italic> and <italic>coral community</italic>. The major research focus includes the negative impacts of <italic>climate change</italic>, <italic>macroalgae</italic> proliferation, <italic>sea level rise</italic>, and <italic>global warming</italic>, with <italic>coral bleaching</italic> identified as the most pressing issue. Regarding research methods, <italic>remote sensing</italic> emerges as the dominant approach. This technology enables detailed classification of complex reef benthic substrates and facilitates the investigation and assessment of coral reef health, driving significant progress in the field (<xref ref-type="bibr" rid="B91">Xu and Zhao, 2014</xref>). With rapid advancements in remote sensing data sources, spectral characteristics analysis, and recognition technologies, this method has gained increasing popularity. Its capacity for large-scale coverage and non-invasive monitoring makes it especially valuable for studying coral reef ecosystems (<xref ref-type="bibr" rid="B2">AlZayer et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B28">Huang et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B41">Liu et&#xa0;al., 2025</xref>).</p>
</sec>
<sec id="s3_3_4">
<label>3.3.4</label>
<title>Text mining results: thematic conceptualization</title>
<p>The text mining analysis was conducted on the titles and abstracts of the collected peer-reviewed journal articles of our sample to uncover hidden semantic structures and research themes. After cleaning the data, 4134 unique noun phrases were identified. In order to base the analysis on the sufficiently frequent terms, a minimum of 5 occurrences was considered as a criterion for the selection of phrases, leading to the selection of 281 noun phrases. Then, the phrases were used to build clusters based on the co-occurrence of the terms to reveal the research themes of coral reef in the South China Sea. The 5 major theme identified includes (1) fundamental physical&#x2013;biological interactions in reef systems, (2) biodiversity and symbiotic relationships in response to environmental stress, (3) climatic influences and the adaptive responses of reef systems, (4) conservation strategies and management practices for reef resilience, (5) remote sensing and algorithmic approaches for reef mapping and monitoring. <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref> presents the thematic structure of the coral reef research in the South China Sea. Similar to <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>, the size of the circles and the links between them show the occurrence of identified terms and their co-occurrence, respectively.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Major research themes in the field of coral reefs in the South China Sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1619275-g008.tif">
<alt-text content-type="machine-generated">Network visualization of research clusters in reef systems represented by nodes and connections. Clusters are labeled: purple for remote sensing, blue for climatic influences, red for physical-biological interactions, green for biodiversity, and yellow for conservation strategies. Arrows label each cluster with descriptions of their themes.</alt-text>
</graphic>
</fig>
<p>The first thematic cluster focuses on fundamental physical&#x2013;biological interactions in reef systems (Cluster #1). Keywords central to this research theme include &#x201c;coral reef&#x201d;, &#x201c;island&#x201d;, &#x201c;ocean&#x201d;, &#x201c;water&#x201d;, &#x201c;sediment&#x201d;, &#x201c;model&#x201d;, &#x201c;dynamics&#x201d;, &#x201c;fish&#x201d;, &#x201c;organic-matter&#x201d;, &#x201c;calcification&#x201d;. These terms reflect the interplay between physical factors&#x2014;such as ocean currents, water characteristics, and sediment movement&#x2014;and biological processes, like fish populations, organic matter cycling, and calcification (<xref ref-type="bibr" rid="B85">Wilson, 2008</xref>; <xref ref-type="bibr" rid="B88">Xu et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B63">Shao et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B107">Zhang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Fan et&#xa0;al., 2024</xref>). Overfishing has been found in Nansha Islands and in the Malaysian South China Sea, which causes the &#x201c;coral reef crisis&#x201d; (<xref ref-type="bibr" rid="B7">Bell et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B4">Arai, 2015</xref>; <xref ref-type="bibr" rid="B107">Zhang et&#xa0;al., 2021</xref>). Parrotfish play a crucial regulatory role in coral reef ecosystems, and their susceptibility to fishing activities could lead to a gradual transition towards algal dominance, resulting in ecological phase shifts (<xref ref-type="bibr" rid="B83">Wang et&#xa0;al., 2024</xref>). Models play a critical role in examining these interactions, offering insights into reef dynamics across different scenarios (<xref ref-type="bibr" rid="B50">Melbourne-Thomas et&#xa0;al., 2011</xref>). This cluster highlights the combined impact of geophysical and ecological processes on coral reef development and function.</p>
<p>The second research theme (Cluster #2) concentrates on biodiversity and symbiotic relationships in response to environmental stress. It encompasses concepts such as &#x201c;diversity&#x201d;, &#x201c;patterns&#x201d;, &#x201c;temperature&#x201d;, &#x201c;reef&#x201d;, &#x201c;stress&#x201d;, &#x201c;zooxanthellae&#x201d;, &#x201c;connectivity&#x201d;, and &#x201c;microbial community&#x201d;. Research indicates that richness, rarity, and phylogenetic diversity vary significantly among reef areas in the South China Sea, and outcomes following projected extinctions cannot be predicted by species diversity alone (<xref ref-type="bibr" rid="B25">Huang et&#xa0;al., 2016</xref>). In the South China Sea, corals exhibit varying patterns of adaptability: those in the southern region are primarily threatened by thermal stress, while northern corals often suffer from severe anthropogenic disturbances (<xref ref-type="bibr" rid="B59">Qin et&#xa0;al., 2020</xref>). Moreover, rising ocean temperatures have been widely linked to coral reef bleaching, typically marked by the expulsion of symbiotic zooxanthellae, loss of zooxanthellae pigmentation, or both (<xref ref-type="bibr" rid="B38">Li et&#xa0;al., 2008</xref>). Coral-associated bacterial communities, which are essential for coral ecosystems and holobiont health (<xref ref-type="bibr" rid="B100">Yu et&#xa0;al., 2021</xref>), undergo substantial structural changes during bleaching events (<xref ref-type="bibr" rid="B96">Yang et&#xa0;al., 2021</xref>). Collectively, these findings demonstrate how biodiversity and symbiotic interactions influence coral reef responses to environmental challenges, offering vital insights for developing effective conservation strategies.</p>
<p>The third thematic cluster explores climatic influences and the adaptive responses of reef systems (Cluster #3). Key terms such as &#x201c;climate change&#x201d;, &#x201c;Great Barrier Reef&#x201d;, &#x201c;growth&#x201d;, &#x201c;variability&#x201d;, &#x201c;evolution&#x201d;, &#x201c;record&#x201d;, &#x201c;mortality&#x201d;, and &#x201c;ocean acidification&#x201d; are central to this theme. Climate change affects coral reefs primarily through rising ocean temperatures and acidification, which may prevent some corals from surviving in tropical regions if they cannot adapt quickly enough (<xref ref-type="bibr" rid="B104">Yuan et&#xa0;al., 2019</xref>). Persistent seawater warming is recognized as a major threat to coral growth and reef development, with overall coral growth in the South China Sea projected to decline by the end of this century (<xref ref-type="bibr" rid="B93">Yan et&#xa0;al., 2019</xref>). The Great Barrier Reef, one of the most extensively studied coral reef systems, has provided research methodologies applicable to the South China Sea, such as the Foraminifera in Reef Assessment and Monitoring (FORAM) Index (<xref ref-type="bibr" rid="B1">A&#x2019;ziz et&#xa0;al., 2021</xref>). Coral reefs in both the South China Sea and the Great Barrier Reef are experiencing declines, with mortality patterns in the Nansha area resembling those observed in the central Great Barrier Reef (<xref ref-type="bibr" rid="B103">Yu et&#xa0;al., 2012</xref>).</p>
<p>Conservation strategies and management practices for reef resilience (Cluster #4) have emerged as a leading research focus. The key terms in this theme are &#x201c;community&#x201d;, &#x201c;impact&#x201d;, &#x201c;resilience&#x201d;, &#x201c;conservation&#x201d;, &#x201c;biodiversity&#x201d;, &#x201c;phase-shifts&#x201d;, &#x201c;assemblages&#x201d;, &#x201c;abundance&#x201d;, &#x201c;management&#x201d;, &#x201c;recovery&#x201d;, &#x201c;responses&#x201d;, &#x201c;coast&#x201d;, and &#x201c;coral cover&#x201d;. Reefs in the South China Sea display spatial heterogeneity in resilience, recovery, and vulnerability to elevated water temperatures, as evidenced by variations in parameters such as coral cover and genus diversity. This variability necessitates targeted management interventions to guide reef rehabilitation for both biodiversity conservation and touristic development, involving relevant stakeholders (<xref ref-type="bibr" rid="B75">Vo et&#xa0;al., 2019</xref>). Notably, a phase shift from stony coral communities to alternative assemblages of octocorals and corallimorpharians has been observed in the South China Sea, attributed to outbreaks of crown-of-thorns starfish (<xref ref-type="bibr" rid="B68">Tkachenko et&#xa0;al., 2022</xref>). Reef restoration is recognized as an essential intervention to mitigate degradation. Moreover, these efforts have increased coastal community awareness of reef management and provided opportunities for active local participation and ownership (<xref ref-type="bibr" rid="B13">Chou et&#xa0;al., 2009</xref>).</p>
<p>The final thematic cluster highlights the application of remote sensing techniques and algorithmic approaches in reef mapping and monitoring (Cluster #5). Keywords associated with this research focus include &#x201c;classification,&#x201d; &#x201c;depth,&#x201d; &#x201c;bathymetry,&#x201d; &#x201c;imagery,&#x201d; &#x201c;behavior,&#x201d; &#x201c;shallow waters,&#x201d; &#x201c;strength,&#x201d; and &#x201c;algorithm.&#x201d; Shallow water depth estimation using multispectral imagery has become a vital method for marine surveying and mapping. To derive accurate bathymetric data, various algorithms such as the Quasi-Analytical Algorithm and geomorphic segmentation have been employed (<xref ref-type="bibr" rid="B27">Huang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B11">Cheng et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B110">Zuo et&#xa0;al., 2024</xref>). Bathymetric data further support coral cover classification, enabling detailed assessment and monitoring of reef ecosystems (<xref ref-type="bibr" rid="B6">Asner et&#xa0;al., 2017</xref>). These advancements contribute to improved reef conservation and management strategies by enhancing the accuracy and efficiency of reef mapping efforts.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Reginal challenges of the coral reef research in the South China Sea</title>
<p>The South China Sea is a critical biodiversity hotspot, supporting extensive coral reef ecosystems vital to ecological stability and regional livelihoods. However, research efforts on these reefs are unevenly distributed among neighboring countries. China has demonstrated a long-term commitment to coral reef research and conservation, contributing 550 publications, which outpacing other nations, and hosting eight of the top ten publishing institutions. From the Ridge-to-Reef perspective, effective reef management and coral survival demand integrated land&#x2013;sea planning (<xref ref-type="bibr" rid="B9">Carlson et&#xa0;al., 2019</xref>), highlighting the need for enhanced reginal cooperation.</p>
<p>Data sharing is severely constrained by geopolitical tensions and overlapping territorial claims, which disrupt collaborative research and data exchange. While regional frameworks like the UNEP East Asian Seas Regional Seas Program and the UNEP/GEF South China Sea Project exist (<xref ref-type="bibr" rid="B32">Kao et&#xa0;al., 2012</xref>), their voluntary nature limits their effectiveness, with data sharing often restricted to specific project datasets (<xref ref-type="bibr" rid="B69">Tuan and Pernetta, 2010</xref>). The lack of binding mechanisms further complicates cross-border cooperation.</p>
<p>The livelihoods and economic realities of coastal communities pose further barriers to cooperation. Research indicates that coral reef study efforts correlate positively with per capita GDP and negatively with coral species richness (<xref ref-type="bibr" rid="B18">Fisher et&#xa0;al., 2011</xref>), reflecting the impact of human activities on reef health. Anthropogenic pressures, including nutrient enrichment (<xref ref-type="bibr" rid="B21">Guo et&#xa0;al., 2019</xref>), sewage discharge (<xref ref-type="bibr" rid="B42">Liu et&#xa0;al., 2012</xref>), and destructive fishing practices (<xref ref-type="bibr" rid="B4">Arai, 2015</xref>), accelerate reef degradation. Conservation measures, such as stricter pollution controls and fishing regulations, often impose economic burdens on coastal communities, diminishing their willingness to engage in research or support regional initiatives.</p>
<p>In summary, limited data sharing and socio-economic pressures collectively undermine regional cooperation in coral reef research within the South China Sea. Addressing these issues requires robust data exchange frameworks and strategies that balance conservation goals with community welfare to ensure sustainable management of this critical ecosystem.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Framework of the coral reef research in the South China Sea</title>
<p>Coral reef research in the South China Sea is built on a clear and organized framework, as evidenced by the alignment of text mining and bibliographic coupling analyses. Text mining extracts key themes from titles and abstracts, while bibliographic coupling groups studies based on shared references. Together, they reveal a research plan that starts with basic studies of physical and biological processes, such as ocean currents, sediment transport, and calcification, that form the foundation of reef ecosystems.</p>
<p>The research then moves to examine biodiversity and the ecological responses of reefs to stress, focusing on symbiotic interactions and resilience at both the organism and ecosystem levels. Finally, it addresses broader environmental challenges, including ocean warming and acidification, which pose serious threats to reef stability.</p>
<p>This logical progression from basic mechanisms to large-scale environmental impacts demonstrates the integration of marine biology, ecology, and climatology. Building on this foundation, the research extends into applied areas that focus on community management and conservation strategies aimed at reducing reef degradation and promoting recovery. These practical efforts are further supported by remote sensing techniques that improve monitoring accuracy and guide conservation actions.</p>
<p>The consistency between text mining and bibliographic coupling confirms the reliability of these themes, ranging from fundamental processes to biodiversity, climate impacts, management, and technological applications. This systematic framework not only advances scientific knowledge but also offers practical solutions for long-term conservation in this environmentally critical region.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Future trends in coral reef research in the South China Sea</title>
<p>Future research on coral reefs in the South China Sea will likely focus on two main areas: understanding the impacts of climate change and using new technology for better monitoring and management. Rising temperatures and ocean acidification are causing more frequent bleaching events, reduced coral calcification, and shifts in species diversity (<xref ref-type="bibr" rid="B48">McClanahan et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B3">Anthony et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B35">Kwiatkowski et&#xa0;al., 2015</xref>). Research will aim to clarify these changes using local studies and global models, helping us predict how reefs will respond to different climate scenarios. This work not only advances our scientific understanding but also supports global efforts to reduce greenhouse gas emissions and protect marine areas.</p>
<p>At the same time, technological innovation is transforming how we study coral reefs. Advances in satellite imagery, drones, and underwater sensors, combined with artificial intelligence, now allow for high-resolution, real-time data collection over large areas (<xref ref-type="bibr" rid="B51">Mohamed et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B31">Kaloop et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B36">Li and Hsu, 2022</xref>). These tools enable automated assessments of reef health, early detection of bleaching, and precise mapping of habitat changes (<xref ref-type="bibr" rid="B90">Xu et&#xa0;al., 2020</xref>, <xref ref-type="bibr" rid="B92">2021a</xref>; <xref ref-type="bibr" rid="B34">Kopecky et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B45">Ma et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B73">Veeranjaneyulu et&#xa0;al., 2024</xref>). As these technologies continue to improve, they will help shift reef monitoring from reactive measures to proactive management, ensuring that conservation efforts are timely and effective.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study employed bibliometric analysis to systematically review coral reef research in the South China Sea, utilizing records from the Web of Science Core Collection. Our analysis revealed a comprehensive research framework encompassing foundational studies of physical and biological processes, investigations into biodiversity responses to environmental stress, assessments of climate change impacts, and the development of advanced remote sensing techniques for reef monitoring, reflecting a multidisciplinary approach to reef science. However, challenges such as restricted data exchange and socio-economic pressures on coastal communities impede regional collaboration and effective management. Looking forward, future research should prioritize understanding the impacts of climate change and advancing innovative monitoring technologies to support sustainable management practices. Ultimately, our findings emphasize the necessity of a unified regional strategy that transcends geopolitical boundaries by leveraging scientific collaboration to ensure the long-term preservation of the South China Sea&#x2019;s coral reefs.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JC: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. FT: Resources, Writing &#x2013; original draft. HL: Writing &#x2013; original draft, Supervision. BH: Visualization, Writing &#x2013; review &amp; editing. XL: Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work is supported by the Research Project on Representative Islands Platform for Resources, Ecology, and Sustainable Development (No: 102121221620000009001) and the Fujian Provincial Natural Science Foundation of China (No. 2022J05098).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. Polish language and improve readability. All AI-generated text and any outputs were critically reviewed, edited, and approved by the authors to ensure factual accuracy, compliance with Frontiers&#x2019; AI disclosure policy, and freedom from plagiarism.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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