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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1609184</article-id>
<article-id pub-id-type="doi">10.3389/feart.2025.1609184</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Research dynamics and frontier trends of orogenic gold deposits: a knowledge map based on bibliometrics</article-title>
<alt-title alt-title-type="left-running-head">Liu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/feart.2025.1609184">10.3389/feart.2025.1609184</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>KeXin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2913511/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jiang</surname>
<given-names>Nan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3061106/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>YongQiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2977653/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Earth and Planetary Sciences</institution>, <institution>Chengdu University of Technology</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Library, Chengdu University of Technology</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1255035/overview">Yi Zheng</ext-link>, Sun Yat-sen University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1295409/overview">Yu Zhang</ext-link>, Central South University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3032117/overview">Pingping Zhu</ext-link>, Kunming University of Science and Technology, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Nan Jiang, <email>jiangnan17@cdut.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1609184</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Jiang and Zhang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Jiang and Zhang</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>Orogenic gold deposits represent a vital component of global gold reserves, functioning as both significant sources of gold and essential indicators for understanding crustal metallogeny within collisional tectonic environments. This study employs bibliometric analysis on 2,476 publications sourced from the Web of Science Core Collection (1995&#x2013;2025) to delineate the intellectual evolution and emerging frontiers in orogenic gold research. Through systematic examination utilizing Citespace and Vosviewer, we identify publication trends, geographic distribution, institutional contributions, and citation networks of global orogenic gold deposit studies. Key findings reveal concentrated research output from China (1,031 papers), Australia (626 papers), and Canada (326 papers), with the China University of Geosciences and the University of Western Australia emerging as prominent institutional hubs. While Deng Jun and Santosh M. lead contemporary productivity metrics, foundational contributions by Groves DI (3,459 citations) and Goldfarb RJ (4,590 citations) continue to serve as pivotal citation anchors. Based on the analysis, the research frontiers should focus on three key areas: (1) Cross-scale mineralization mechanism studies, including numerical simulations of supercritical fluid (H<sub>2</sub>O-CO<sub>2</sub> &#xb1; CH<sub>4</sub>) phase behavior, four-dimensional visualization reconstruction of lithospheric material cycles, and quantitative analysis of pressure-driven (&#x223c;150 MPa) phase transitions and adsorption kinetics in sulfide-mantle fluid coupling mechanisms; (2) Technological and methodological advancements, emphasizing the development of AI-powered three-dimensional orebody prediction models and the establishment of deep exploration technology consortia capable of penetrating up to 8 km; (3) Theoretical paradigm shifts, promoting the integration of micro-area isotopic tracing techniques with deep dynamic models to elucidate the control mechanisms of supercontinent cycles on the spatiotemporal architecture of mineralization systems. This field is transitioning from empirical exploration toward a theory-driven research paradigm.</p>
</abstract>
<kwd-group>
<kwd>orogenic gold deposits</kwd>
<kwd>bibliometrics</kwd>
<kwd>ore-forming chronology</kwd>
<kwd>micro-area analysis</kwd>
<kwd>mantle fluid</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Economic Geology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Orogenic gold deposits represent a substantial proportion of global gold resources and have long been a central focus in geological research. The mechanisms underlying their formation and their spatiotemporal distribution patterns remain key areas of investigation. Since 1995, the intensity of research in this field has progressively increased, leading to the establishment of a distinct disciplinary framework. The classification system proposed by <xref ref-type="bibr" rid="B30">Groves et al. (1998)</xref> provided a robust foundation for constructing the theoretical framework governing orogenic gold deposit genesis and subsequent advancements. Following this, the integration of isotope tracing techniques with metallogenic dynamic models became a prominent research focus. The innovative theory regarding the diversity of ore-forming fluids proposed by <xref ref-type="bibr" rid="B26">Goldfarb and Groves (2015)</xref> was substantiated through advanced isotopic analyses. Scholars have increasingly emphasized the diversity of fluid sources and their evolutionary behaviors under varying geological conditions.</p>
<p>After 2015, the widespread adoption of microanalytical techniques, particularly laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), facilitated a shift from macroscopic structural analysis to nanomineralogical observation. This advancement enhanced the precision of metallogenic chronology from the million-year scale to the ten-thousand-year scale, offering unprecedented insights into the fine-scale material sources and migration mechanisms during gold mineralization (<xref ref-type="bibr" rid="B26">Goldfarb and Groves, 2015</xref>; <xref ref-type="bibr" rid="B64">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B14">Deng et al., 2020a</xref>; <xref ref-type="bibr" rid="B25">Goldfarb, 2020</xref>; <xref ref-type="bibr" rid="B32">Groves et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Santosh and Groves, 2023</xref>). The crust-mantle mixed lead model (<italic>&#x3bc;</italic> &#x3d; 9.3&#x2013;9.8) and mantle-derived sulfur isotope characteristics observed in the Jiaodong deposits provide critical geological evidence supporting the mantle fluid hypothesis for orogenic gold deposits (<xref ref-type="bibr" rid="B70">Xiao et al., 2023</xref>; <xref ref-type="bibr" rid="B24">Gao et al., 2024</xref>; <xref ref-type="bibr" rid="B76">Yang et al., 2024</xref>; <xref ref-type="bibr" rid="B77">Zhang et al., 2024</xref>; <xref ref-type="bibr" rid="B65">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="B66">Wang et al., 2025</xref>). Emerging research directions, such as sulfur isotope tracing (&#x3b4;<sup>34</sup>S &#x3d; &#x2212;5&#x2030; to &#x2b;12&#x2030;) and metal source tracking (&#x394;<sup>199</sup>Hg &#x2248; 0), are gaining increasing attention (<xref ref-type="bibr" rid="B16">Deng et al., 2018</xref>; <xref ref-type="bibr" rid="B73">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="B51">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B24">Gao et al., 2024</xref>; <xref ref-type="bibr" rid="B65">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="B68">Wu et al., 2024</xref>; <xref ref-type="bibr" rid="B77">Zhang et al., 2024</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2025</xref>).</p>
<p>Over the past 3 decades, research on orogenic gold deposits has experienced significant growth, encompassing the development of fundamental theoretical frameworks, the application of multidisciplinary technologies, and breakthroughs in frontier theories. Given the extensive body of literature on orogenic gold deposits, it is imperative to systematically evaluate and synthesize the accumulated knowledge in this field to identify future research priorities. This study aims to employ bibliometric methods to systematically analyze the knowledge evolution of orogenic gold deposit research from 1995 to 2025, elucidate the intrinsic laws governing disciplinary development, and establish a scientific basis for determining future research directions (<xref ref-type="bibr" rid="B1">Albert and Barabasi, 2002</xref>; <xref ref-type="bibr" rid="B5">Chen, 2004</xref>; <xref ref-type="bibr" rid="B6">Chen, 2006</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2012</xref>; <xref ref-type="bibr" rid="B2">Boyd and Crawford, 2012</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2014</xref>; <xref ref-type="bibr" rid="B71">Xie, 2015</xref>; <xref ref-type="bibr" rid="B34">Hou et al., 2018</xref>).</p>
</sec>
<sec id="s2">
<title>2 Data and methods</title>
<sec id="s2-1">
<title>2.1 Data sources</title>
<p>The Web of Science Core Collection (WoSCC) database, an internationally acknowledged authoritative academic resource platform, encompasses multiple disciplines such as natural sciences, social sciences, arts, and humanities. On 29 April 2025, a bibliometric analysis was conducted using the search formula &#x201c;TS &#x3d; (Orogenic Gold Deposit Or Quartz Vein-Type Gold Deposit Or Shear Zone-Hosted Gold Deposit Or Altered Rock-Hosted Gold Deposit Or Lode Gold Deposit Or Mesothermal Gold Deposit Or Stockwork-Cataclastic Gold Deposit Or Tectonic-Hydrothermal Gold Deposit Or Greenstone Belt-Type Gold Deposit Or Ductile Shear Zone-Hosted Gold Deposit Or Metamorphic Core Complex-Related Gold Deposit Or Strata-Bound Gold Deposit in Orogenic Belts) NOT TS &#x3d; (Epithermal OR Carlin-Type OR Porphyry OR Skarn OR IOCG OR VMS OR Placer OR Laterite).&#x201d; This yielded 2,476 papers (articles and reviews) published between 1995 and 2025, with a cumulative citation count of 70,015 (<xref ref-type="bibr" rid="B37">Jahangirian et al., 2011</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2012</xref>; <xref ref-type="bibr" rid="B35">Hou et al., 2017</xref>; <xref ref-type="bibr" rid="B50">Liao et al., 2018</xref>; <xref ref-type="bibr" rid="B63">Wang et al., 2018</xref>; <xref ref-type="bibr" rid="B86">Yao et al., 2019</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Methodology</title>
<p>To analyze the dataset, this study combined CiteSpace and VOSviewer, two leading bibliometric tools. CiteSpace is adept at time-series analysis, detecting emergent trends, and analyzing network dynamics, while VOSviewer excels in constructing visual networks, performing cluster analysis, and generating density views. The integration of these tools enables dual analyses in temporal and spatial dimensions, constructing a multi-dimensional scientific knowledge graph that visually presents the developmental trajectory and frontier hotspots in orogenic gold deposit research (<xref ref-type="bibr" rid="B62">Van Eck and Waltman, 2010</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2014</xref>; <xref ref-type="bibr" rid="B41">Kim and Chen, 2015</xref>; <xref ref-type="bibr" rid="B42">Kim et al., 2016</xref>; <xref ref-type="bibr" rid="B58">Sivarajah et al., 2017</xref>; <xref ref-type="bibr" rid="B85">Zuo et al., 2021</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Publication trends</title>
<p>Research activity on orogenic gold deposits can be divided into three distinct phases. From 1995 to 2003, the field was in its nascent stage, with a total of 302 papers and total citation frequency of 14,550 times. The primary focus is on elucidating the mechanisms by which tectonic activities, such as shear zones and strike-slip faults, regulate fluid migration pathways and control the spatial distribution of mineralization. Additionally, attention is given to the evolution of fluid characteristics, including temperature, pressure, and composition, during the mineralization process. The period from 2004 to 2014 witnessed rapid development, published 652 papers with total citation frequency of 31,891 times, and an average of 48.91 citations per paper. During this phase, the study places greater emphasis on the tectonic setting and its control over mineralization, particularly highlighting the role of dynamic tectonic events (such as extension-compression transitions) in driving the formation and opening of ore veins. Additionally, attention is devoted to the sources of ore-forming fluids (metamorphic, magmatic, mantle), fluid evolution under varying P-T-X conditions, mechanisms of metal migration and precipitation, and isotopic tracing techniques. Since 2015, the field has entered a prosperous stage, with 1,522 papers published, and accounting for 61.47% of the total publications, which with a total citation frequency of 23,574. This phase has witnessed an increasing focus on the origin and evolution of ore-forming fluids (isotopic constraints and tracing, fluid characteristics and evolution, metal sources), the timing of mineralization and associated chronology methods, as well as spatial modeling and analysis. <xref ref-type="fig" rid="F1">Figure 1</xref> presents the annual variations in the quantity of publications regarding orogenic gold deposits from 1995 to 2025.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Publishing trends on orogenic gold deposits, based on data extracted from the WoSCC (publishing on 1998&#x2013;2025).</p>
</caption>
<graphic xlink:href="feart-13-1609184-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Collaboration networks</title>
<sec id="s3-2-1">
<title>3.2.1 Analysis of countries/regions co-occurrence networks</title>
<p>This analysis reveals that over 103 countries have been involved in the research of orogenic gold deposits. The analysis of collaboration networks reveals significant regional and institutional contributions. China leads in publication output with 1,031 papers, followed by Australia (626 papers), Canada (326 papers), and the United States (180 papers). At the same time, France (0.37) and Germany (0.26) exhibit high intermediary centrality, indicating their pivotal roles as collaboration hubs (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Co-occurring countries map.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Top 10 countries with publication and influence on orogenic gold deposits.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Count</th>
<th align="center">Centrality</th>
<th align="center">Year</th>
<th align="center">Country</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">1,031</td>
<td align="center">0.06</td>
<td align="center">1995</td>
<td align="center">China</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">626</td>
<td align="center">0.11</td>
<td align="center">1995</td>
<td align="center">Australia</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">326</td>
<td align="center">0.04</td>
<td align="center">1995</td>
<td align="center">Canada</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">180</td>
<td align="center">0.06</td>
<td align="center">1995</td>
<td align="center">USA</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">146</td>
<td align="center">0.26</td>
<td align="center">1995</td>
<td align="center">Germany</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">136</td>
<td align="center">0.03</td>
<td align="center">1996</td>
<td align="center">Russia</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">116</td>
<td align="center">0.05</td>
<td align="center">1997</td>
<td align="center">Brazil</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">107</td>
<td align="center">0.37</td>
<td align="center">1996</td>
<td align="center">France</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">97</td>
<td align="center">0.08</td>
<td align="center">1995</td>
<td align="center">South Africa</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">86</td>
<td align="center">0.07</td>
<td align="center">1996</td>
<td align="center">England</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Analysis of institutional publication volume and collaboration network</title>
<p>It is shown that 219 collaborating institutions involved. <xref ref-type="fig" rid="F3">Figure 3</xref> presents the collaboration network of research institutions, where nodes represent institutions; the larger the node, the greater the number of papers published by that institution. The thickness of the lines connecting the nodes indicates the intensity of collaboration.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Co-occurring institutions map.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g003.tif"/>
</fig>
<p>Among research institutions, the China University of Geosciences has published the most papers (495), followed by the Chinese Academy of Sciences (300) and the University of Western Australia (255). The University of Western Australia demonstrates a strong capacity for resource integration, with an intermediary centrality of 0.71 (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Top 10 instutions with publication and influence on orogenic gold deposit<bold>s</bold>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Organization (full name)</th>
<th align="center">Organization (abbreviation)</th>
<th align="center">Documents</th>
<th align="center">Centrality</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">China University of Geosciences</td>
<td align="center">China Univ Geosci</td>
<td align="center">495</td>
<td align="center">0.02</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Chinese Academy of Sciences</td>
<td align="center">Chinese Acad Sci</td>
<td align="center">300</td>
<td align="center">0.19</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">University of Western Australia</td>
<td align="center">Univ Western Australia</td>
<td align="center">255</td>
<td align="center">0.71</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">China Geological Survey</td>
<td align="center">China Geol Survey</td>
<td align="center">226</td>
<td align="center">0.17</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">Chinese Academy of Geological Sciences</td>
<td align="center">Chinese Acad Geol Sci</td>
<td align="center">142</td>
<td align="center">0.09</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">Institute of Geology and Geophysics</td>
<td align="center">Inst Geol and Geophys</td>
<td align="center">112</td>
<td align="center">0.18</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">Russian Academy of Sciences</td>
<td align="center">Russian Acad Sci</td>
<td align="center">110</td>
<td align="center">0.18</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">Guangzhou Institute of Geochemistry</td>
<td align="center">Guangzhou Inst Geochem</td>
<td align="center">90</td>
<td align="center">0.08</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">University of Chinese Academy of Sciences</td>
<td align="center">Univ Chinese Acad Sci</td>
<td align="center">85</td>
<td align="center">0.02</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">Centre National de la Recherche Scientifique</td>
<td align="center">CNRS</td>
<td align="center">71</td>
<td align="center">0.55</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Analysis of author collaboration network and co-cited authors</title>
<p>Among the 2,476 retrieved documents, a total of 55 authors are depicted in the figure. <xref ref-type="fig" rid="F4">Figure 4</xref> presents the collaboration network among authors who have published more than 10 articles, received more than 50 citations, and collaborated more than ten times.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Author cooperation network map.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g004.tif"/>
</fig>
<p>Key authors in the field include Deng Jun who has published 56 papers, Santosh M with 55 papers and Wang Qingfei with 36 papers. Santosh M, Groves Di and Deng Jun are among the most cited authors, 4,072 with 3,459 and 3,456 citations respectively, providing foundational theoretical frameworks for the field (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Top 10 authors in publications and influence.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Count</th>
<th align="center">Authors</th>
<th align="center">Citation</th>
<th align="center">Authors</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">56</td>
<td align="center">Deng, Jun</td>
<td align="center">4,072</td>
<td align="center">Santosh, M.</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">55</td>
<td align="center">Santosh, M</td>
<td align="center">3,459</td>
<td align="center">Groves, Di</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">36</td>
<td align="center">Wang, Qingfei</td>
<td align="center">3,456</td>
<td align="center">Deng, Jun</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">33</td>
<td align="center">Craw, Dave</td>
<td align="center">2,379</td>
<td align="center">Groves, David I.</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">31</td>
<td align="center">Thebaud, Nicolas</td>
<td align="center">2,207</td>
<td align="center">Yang, Liqiang</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">28</td>
<td align="center">Groves, Di</td>
<td align="center">2099</td>
<td align="center">Goldfarb, Richard J.</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">26</td>
<td align="center">Groves, David I.</td>
<td align="center">1,629</td>
<td align="center">Large, Ross R</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">25</td>
<td align="center">Yang, Liqiang</td>
<td align="center">1,562</td>
<td align="center">Wang, Qingfei</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">24</td>
<td align="center">Jiang, Shaoyong</td>
<td align="center">1,411</td>
<td align="center">Kerrich, R</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">23</td>
<td align="center">Yang, Lin</td>
<td align="center">1,399</td>
<td align="center">Zhang, Liang</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Knowledge mapping</title>
<sec id="s3-3-1">
<title>3.3.1 Analysis of co-cited reference research</title>
<p>The visualization of co-cited references illustrates the knowledge structure and flow within a research field. In this network, literature that occupies pivotal positions serves as a bridge in knowledge transfer, connecting disparate research clusters and facilitating the diffusion of knowledge across subfields.</p>
<p>Among recent orogenic gold-related studies, the three most cited papers are as follows: First, &#x201c;Orogenic gold deposits: A proposed classification in the context of their crustal distribution and relationship to other gold deposit types&#x201d; by <xref ref-type="bibr" rid="B30">Groves et al. (1998)</xref>, published in Ore Geology Reviews, with 1,689 citations. Second, &#x201c;Gold and Trace Element Zonation in Pyrite Using a Laser Imaging Technique: Implications for the Timing of Gold in Orogenic and Carlin-Style Sediment-Hosted Deposits&#x201d; by <xref ref-type="bibr" rid="B43">Large et al. (2011)</xref>, published in Economic Geology, with 858 citations. Third, &#x201c;Orogenic gold: Common or evolving fluid and metal sources through time&#x201d; by <xref ref-type="bibr" rid="B26">Goldfarb and Groves (2015)</xref>, also published in Lithos, with 754 citations. Notably, this publication exhibits the highest betweenness centrality in the network, serving as a pivotal work that has shaped the theoretical advancement of orogenic gold deposit research (<xref ref-type="fig" rid="F5">Figure 5</xref>; <xref ref-type="table" rid="T4">Table 4</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Cited reference article network map with the first author and publication date of each reference article presented.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g005.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Top 10 most cited research paper in WoS Core Database.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Author full names</th>
<th align="center">Article title</th>
<th align="center">Source title</th>
<th align="center">Times cited</th>
<th align="center">Publication year</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">Groves, DI; Goldfarb, RJ; Gebre-Mariam, M; Hagemann, SG; Robert, F</td>
<td align="center">Orogenic gold deposits: A proposed classification in the context of their crustal distribution and relationship to other gold deposit types</td>
<td align="center">ORE GEOLOGY REVIEWS</td>
<td align="center">1,689</td>
<td align="center">1998</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Large, Ross R.; Danyushevsky, Leonid; Hollit, Chris; Maslennikov, Valeriy; Meffre, Sebastien; Gilbert, Sarah; Bull, Stuart; Scott, Rob; Emsbo, Poul; Thomas, Helen; Singh, Bob; Foster, Jeffrey</td>
<td align="center">Gold and Trace Element Zonation in Pyrite Using a Laser Imaging Technique: Implications for the Timing of Gold in Orogenic and Carlin-Style Sediment-Hosted Deposits</td>
<td align="center">ECONOMIC GEOLOGY</td>
<td align="center">858</td>
<td align="center">2009</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Goldfarb, Richard J.; Groves, David I.</td>
<td align="center">Orogenic gold: Common or evolving fluid and metal sources through time</td>
<td align="center">LITHOS</td>
<td align="center">754</td>
<td align="center">2015</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">Sun, Weidong; Ding, Xing; Hu, Yan-Hua; Li, Xian-Hua</td>
<td align="center">The golden transformation of the Cretaceous plate subduction in the west Pacific</td>
<td align="center">EARTH AND PLANETARY SCIENCE LETTERS</td>
<td align="center">743</td>
<td align="center">2007</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">Zhai, Mingguo; Santosh, M.</td>
<td align="center">Metallogeny of the North China Craton: Link with secular changes in the evolving Earth</td>
<td align="center">GONDWANA RESEARCH</td>
<td align="center">666</td>
<td align="center">2013</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">McCuaig, TC; Kerrich, R</td>
<td align="center">P-T-t-deformation-fluid characteristics of lode gold deposits: evidence from alteration systematics</td>
<td align="center">ORE GEOLOGY REVIEWS</td>
<td align="center">531</td>
<td align="center">1998</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">Phillips, G. N.; Powell, R.</td>
<td align="center">Formation of gold deposits: a metamorphic devolatilization model</td>
<td align="center">JOURNAL OF METAMORPHIC GEOLOGY</td>
<td align="center">499</td>
<td align="center">2010</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">Goldfarb, Richard J.; Santosh, M.</td>
<td align="center">The dilemma of the Jiaodong gold deposits: Are they unique?</td>
<td align="center">GEOSCIENCE FRONTIERS</td>
<td align="center">461</td>
<td align="center">2014</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">Yang, JH; Wu, FY; Wilde, SA</td>
<td align="center">A review of the geodynamic setting of large-scale Late Mesozoic gold mineralization in the North China Craton: an association with lithospheric thinning</td>
<td align="center">ORE GEOLOGY REVIEWS</td>
<td align="center">444</td>
<td align="center">2003</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">McCuaig, T. Campbell; Beresford, Steve; Hronsky, Jon</td>
<td align="center">Translating the mineral systems approach into an effective exploration targeting system</td>
<td align="center">ORE GEOLOGY REVIEWS</td>
<td align="center">374</td>
<td align="center">2010</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3-2">
<title>3.3.2 Keywords analysis</title>
<p>Keywords serve as essential tools for distilling the core themes and critical information of academic literature. They not only succinctly summarize the main ideas but also play a pivotal role in identifying key research directions. The analysis of outbreak scenarios, which identifies sudden increases in keyword frequency, provides valuable insights into current research trends and emerging research priorities. Additionally, knowledge graphs that visualize keyword co-occurrence patterns offer a systematic framework for mapping flourishing research domains and pinpointing pioneering subjects at the forefront of innovation. By systematically summarizing and dissecting keywords, researchers can deeply explore evolving trends, uncover latent research directions, and strategically navigate the dynamic landscape of academic inquiry. This approach not only enhances clarity but also strengthens the analytical foundation for understanding the trajectory of scholarly development.</p>
<p>Co-occurrence analysis of keywords was performed using CiteSpace, yielding 210 relevant keywords (<xref ref-type="fig" rid="F6">Figure 6</xref>). The top 20 high-frequency keywords are presented in <xref ref-type="table" rid="T5">Table 5</xref>. Among these, the top ten keywords include: &#x201c;orogenic gold&#x201d; (554 occurrences), &#x201c;mineralization&#x201d; (536 occurrences), &#x201c;evolution&#x201d; (452 occurrences), &#x201c;geochemistry&#x201d; (280 occurrences), and &#x201c;constraints&#x201d; (272 occurrences). This analysis highlights key thematic clusters and research priorities in the field.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Keywords contribution map.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g006.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>High-frequency keyword<bold>s</bold>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Count</th>
<th align="center">Centrality</th>
<th align="center">Keywords</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">554</td>
<td align="center">0</td>
<td align="center">orogenic gold</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">536</td>
<td align="center">0.4</td>
<td align="center">mineralization</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">452</td>
<td align="center">0.19</td>
<td align="center">evolution</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">280</td>
<td align="center">0.18</td>
<td align="center">geochemistry</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">272</td>
<td align="center">0.06</td>
<td align="center">constraints</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">265</td>
<td align="center">0.18</td>
<td align="center">fluid inclusions</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">263</td>
<td align="center">0.26</td>
<td align="center">deposits</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">199</td>
<td align="center">0.22</td>
<td align="center">greenstone belt</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">189</td>
<td align="center">0.32</td>
<td align="center">fluid inclusion</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">176</td>
<td align="center">0.08</td>
<td align="center">u pb</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">165</td>
<td align="center">0.1</td>
<td align="center">tectonic evolution</td>
</tr>
<tr>
<td align="center">12</td>
<td align="center">154</td>
<td align="center">0.22</td>
<td align="center">belt</td>
</tr>
<tr>
<td align="center">13</td>
<td align="center">153</td>
<td align="center">0.04</td>
<td align="center">gold deposits</td>
</tr>
<tr>
<td align="center">14</td>
<td align="center">142</td>
<td align="center">0</td>
<td align="center">orogenic gold deposits</td>
</tr>
<tr>
<td align="center">15</td>
<td align="center">140</td>
<td align="center">0.25</td>
<td align="center">western australia</td>
</tr>
<tr>
<td align="center">16</td>
<td align="center">137</td>
<td align="center">0.02</td>
<td align="center">hydrothermal alteration</td>
</tr>
<tr>
<td align="center">17</td>
<td align="center">136</td>
<td align="center">0.02</td>
<td align="center">geochronology</td>
</tr>
<tr>
<td align="center">18</td>
<td align="center">135</td>
<td align="center">0</td>
<td align="center">gold deposit</td>
</tr>
<tr>
<td align="center">19</td>
<td align="center">127</td>
<td align="center">0.36</td>
<td align="center">province</td>
</tr>
<tr>
<td align="center">20</td>
<td align="center">125</td>
<td align="center">0.04</td>
<td align="center">deposit</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Keyword cluster analysis shows the terms form nine major clusters. These involve orogenic belt occurrence locations like the Jiangnan Orogeny, the JiaoDong Peninsula and Western Australia. They also include related greenstone belts, geochemical fluid inclusions, stable isotopes and specific crystal morphologies (<xref ref-type="fig" rid="F7">Figure 7</xref>). These clusters collectively reflect key research areas and thematic groupings within the research dataset.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Keywords cluster distribution map.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g007.tif"/>
</fig>
</sec>
<sec id="s3-3-3">
<title>3.3.3 Timeline and burst analysis</title>
<p>Emerging keyword analysis provides insights into academic frontiers, evolving hotspots, and developmental trends. In this study, key parameters of emerging keywords include occurrence frequency, intensity and temporal distribution. The analysis shows research foci have shifted over time, from early emphasis on ore deposit location, tectonic settings, gold deposits features to investigating evolution of ore-forming fluids, ore-forming metal sources, deposit formation ages and spatial modeling.</p>
<p>CiteSpace keywords timeline spectrum analysis reveals a clear shift in research focus over time. Early studies primarily concentrated on deposit classification and metallogenic models of orgenic gold deposits. In recent years, however, research emphasis has shifted toward fluid properties and the diversity of metallogenic sources. Current investigations prioritize fluid types, fluid sources, and their analytical methodologies in orogenic gold systems, findings consistent with our burst citation analysis results. This shift is driven by advancements in fluid property analysis techniques, which have not only enhanced understanding of orogenic gold deposits but also become increasingly critical for polymetallic gold deposit research (<xref ref-type="fig" rid="F8">Figure 8</xref>). These technological advancements explain the sustained focus on sulfur isotopes, which remain a prominent research topic in recent years.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Timeline of co-citation clusters for keywords.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g008.tif"/>
</fig>
<p>From 1995 to 2025, research on orogenic gold deposits evolved four stages as follows: from 1995 to 2000, research centered on basic geological concepts. Keywords like &#x201c;mineralization&#x201d; and &#x201c;hydrothermal alteration&#x201d; show early efforts to understand gold mineralization processes and hydrothermal activity roles. From 2001 to 2010, keywords related to geochemical and isotopic analyses became more common. Terms such as &#x201c;sulfur isotopes&#x201d; and &#x201c;u-pb geochronology&#x201d; indicate advanced techniques were used to identify gold-bearing fluid sources and mineralization timing. From 2011 to 2020, the focus turned to fluid inclusions and tectonic controls. Keywords like &#x201c;ore forming fluids&#x201d; and &#x201c;geochronology&#x201d; suggest research explored fluid characteristics in gold deposition and tectonic settings for orogenic gold mineralization. Moreover, from 2021 to 2025: research has focused on exploration and application. Keywords such as &#x201c;prospecting&#x201d; and &#x201c;exploration&#x201d; show a drive to develop better methods for finding new orogenic gold deposits (<xref ref-type="fig" rid="F9">Figure 9</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Keywords timeline of Co-citation clusters.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g009.tif"/>
</fig>
<p>In the context of orogenic gold deposit research, the &#x201c;strength&#x201d; metric reflects the emergence value of specific terms, with higher values indicating greater credibility of term emergence within defined periods. Analysis of citation burst keywords in orogenic gold deposit research from 1995 to 2025 reveals four distinct stages: from 1995 to 2000, research focused on classic regions and fundamental geological features. Keywords such as &#x201c;abiti greenstone belt&#x201d; and &#x201c;quebec&#x201d; highlight the emphasis on specific areas during this period. From 2001 to 2010, a strong focus on fluid characteristics and geological effects. The keyword &#x201c;fluid flow&#x201d; indicates active exploration of fluid movement and roles in gold-bearing systems. From 2011 to 2020, research shifted to mineral evolution and age determination. Keywords like &#x201c;ashanti belt&#x201d; and &#x201c;crustal evolution&#x201d; show extensive study of mineralization processes and chronological sequences in different orogenic belts. From 2021 to 2025, the research direction has moved towards advanced analytical techniques and exploration methods. Keywords such as &#x201c;la-icp-ms&#x201d; and &#x201c;sm-nd&#x201d; reflect the use of sophisticated analytical techniques for precise determinations (<xref ref-type="fig" rid="F10">Figure 10</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Map of top 25 keywords with the strongest citation bursts.</p>
</caption>
<graphic xlink:href="feart-13-1609184-g010.tif"/>
</fig>
</sec>
</sec>
<sec id="s3-4">
<title>3.4 Advances in orogenic gold deposits</title>
<p>The formation of orogenic gold deposits is controlled by three primary crustal dynamic systems: (1) the tectonic deformation system induced by thrust metamorphism (<xref ref-type="bibr" rid="B35">Hou et al., 2017</xref>; <xref ref-type="bibr" rid="B49">Li and Santosh, 2017</xref>; <xref ref-type="bibr" rid="B21">Deng et al., 2020b</xref>), (2) the generation and migration system of metamorphic fluids, and (3) the activation-precipitation mechanism of mineralizing elements (<xref ref-type="bibr" rid="B73">Yang et al., 2021</xref>; <xref ref-type="bibr" rid="B27">Goldfarb and Iain, 2023</xref>). The multi-stage interaction among these systems shapes the systematic mineralization patterns observed in global orogenic belts. This deposit type predominantly forms within accretion-collision orogenic systems, with mineralization ages exhibiting spatio-temporal coupling to supercontinent assembly cycles (<xref ref-type="bibr" rid="B45">Lawrence et al., 2013</xref>; <xref ref-type="bibr" rid="B74">Yang et al., 2014</xref>; <xref ref-type="bibr" rid="B69">Wyman et al., 2016</xref>; <xref ref-type="bibr" rid="B33">Groves et al., 2018</xref>; <xref ref-type="bibr" rid="B55">Qiu et al., 2020</xref>; <xref ref-type="bibr" rid="B25">Goldfarb, 2020</xref>; <xref ref-type="bibr" rid="B65">Wang et al., 2024</xref>).</p>
<p>The three-dimensional structural trap system governs orebody positioning, where the structural axis and strain gradient zones serve as conduits for mineralizing fluids. Early-formed structural spaces provide hosting environments, forming a three-dimensional fluid network. Recent studies reveal vertical zonation patterns through fluid inclusion analysis: at depths exceeding 8 km, supercritical H<sub>2</sub>O-CO<sub>2</sub> &#xb1; CH<sub>4</sub> fluids dominate, transitioning upward to NaCl-H<sub>2</sub>O systems. Globally, these deposits exhibit consistent geochemical characteristics, including temperatures of 220&#xb0;C&#x2013;450&#xb0;C, salinities of 3%&#x2013;7% NaCl equivalent, and abundant CO<sub>2</sub> components. Isotopic evidence (&#x394;<sup>199</sup>Hg &#x2248; 0, &#x3b4;<sup>56</sup>Fe &#x3d; 0 to &#x2b;1&#x2030;) suggests that 30%&#x2013;50% of the ore-forming materials originate from the mantle (<xref ref-type="bibr" rid="B33">Groves et al., 2018</xref>; <xref ref-type="bibr" rid="B3">Cao et al., 2023</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2025</xref>).</p>
<p>Despite advances, debates persist regarding the genesis of orogenic gold deposits. Two primary theoretical frameworks exist: (1) the metamorphic fluid model, which emphasizes gold release via pyrite-pyrrhotite phase transitions; and (2) the mantle fluid model, which attributes ore-forming materials to subducted plates or lithospheric mantle, transported by supercritical fluids. Notably, research on China&#x2019;s Jiaodong mineralization belt supports the mantle fluid model, with Pb-Hg-S isotopes (&#x3b4;<sup>34</sup>S &#x3d; &#x2b;8&#x2030; to &#x2b;12&#x2030;) indicating lithospheric mantle sources and subduction-related degassing processes (<xref ref-type="bibr" rid="B61">Tomkins, 2013</xref>; <xref ref-type="bibr" rid="B78">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B13">Deng et al., 2015a</xref>; <xref ref-type="bibr" rid="B75">Yang et al., 2016</xref>; <xref ref-type="bibr" rid="B4">Carranza, 2017</xref>; <xref ref-type="bibr" rid="B56">Rom&#xe1;n et al., 2019</xref>; <xref ref-type="bibr" rid="B46">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B65">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="B77">Zhang et al., 2024</xref>; <xref ref-type="bibr" rid="B11">David et al., 2024</xref>; <xref ref-type="bibr" rid="B82">Zhao et al., 2025</xref>).</p>
<p>In regional studies, China exhibits a &#x201c;three-period mineralization and seven-belt distribution&#x201d; pattern, divided into Paleozoic, Mesozoic, and Cenozoic mineralization domains. The Cretaceous mineralization peak correlates with bidirectional subduction of the Paleo-Pacific and Neo-Tethys plates, with Phanerozoic mineralization belts strictly controlled by orogenic sequences. Mineralization ages typically lag behind regional metamorphic peaks. Additionally, high-permeability basement activation zones have emerged as critical targets for deep exploration (<xref ref-type="bibr" rid="B36">Hronsky et al., 2012</xref>; <xref ref-type="bibr" rid="B19">Deng et al., 2014a</xref>; <xref ref-type="bibr" rid="B17">Deng and Wang, 2016</xref>; <xref ref-type="bibr" rid="B18">Deng et al., 2017</xref>; <xref ref-type="bibr" rid="B79">Zhang et al., 2020</xref>).</p>
<p>Analysis of existing research highlights significant advancements in exploration techniques for orogenic gold deposits. Micro-area <italic>in-situ</italic> analyses reveal synchronous evolution trends in pyrite As content (500&#x2013;2,000 ppm) and Co/Ni ratios. LA-ICP-MS data support the coupled mineralization mechanism involving Au(HS)<sub>2</sub>
<sup>-</sup> migration and iron sulfide adsorption. Numerical simulations demonstrate that a 150 MPa pressure drop in extensional settings induces fluid boiling, enhancing gold adsorption efficiency through iron sulfide nanocolloids (specific surface area &#x3e;50 m<sup>2</sup>/g, Zeta potential &#x3c;&#x2212;30 mV) (<xref ref-type="bibr" rid="B12">Deditius et al., 2014</xref>; <xref ref-type="bibr" rid="B40">Keith et al., 2018</xref>; <xref ref-type="bibr" rid="B79">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B3">Cao et al., 2023</xref>; <xref ref-type="bibr" rid="B39">Jiang et al., 2023</xref>).</p>
<p>This type of deposit predominantly occurs in subduction-related accretion-collision orogenic systems, and its mineralization age shows a pronounced spatio-temporal coupling with the supercontinent aggregation cycle (<xref ref-type="bibr" rid="B33">Groves et al., 2018</xref>). The localization of the deposit is governed by a three-dimensional structural trap system: ore-conducting channels formed by the structural hinge zone and the strain gradient zone, superimposed on ore-storage space created by early structures, collectively constitute a three-dimensional network for fluid migration. Fluid inclusion studies reveal that the ore-forming fluids exhibit distinct vertical zonation characteristics. At depths greater than 8 km, H<sub>2</sub>O-CO<sub>2</sub> &#xb1; CH<sub>4</sub> supercritical fluids dominate, transitioning upward to the NaCl-H<sub>2</sub>O system at shallower levels. Isotopic geochemical evidence (&#x394;<sup>199</sup>Hg &#x2248; 0, &#x3b4;<sup>56</sup>Fe &#x3d; 0 to &#x2b;1&#x2030;) further confirms that approximately 30%&#x2013;50% of mantle-derived materials were incorporated into the gold mineralization process (<xref ref-type="bibr" rid="B9">Chen et al., 2007</xref>; <xref ref-type="bibr" rid="B3">Cao et al., 2023</xref>; <xref ref-type="bibr" rid="B72">Yang et al., 2023</xref>; <xref ref-type="bibr" rid="B52">Liu et al., 2025</xref>).</p>
<p>Although the host rocks of orogenic gold deposits worldwide vary widely (from greenschist facies to amphibolite facies metamorphic rocks) and their mineralization ages span from the Neoarchean to the Cenozoic, these deposits commonly exhibit consistent fluid geochemical characteristics: low to moderate temperatures (220&#xb0;C&#x2013;450&#xb0;C), low salinities (3%&#x2013;7% NaCl eq.), and CO<sub>2</sub>-rich compositions (<xref ref-type="bibr" rid="B33">Groves et al., 2018</xref>). This observation has facilitated the advancement of the mantle-crust synergetic mineralization theory. The conventional mineralization model, which solely relies on the exsolution of metamorphic fluids, is now insufficient to explain the formation mechanisms of high-temperature plutonic ore deposits. Current studies increasingly emphasize that lithospheric-scale crust-mantle interaction plays a critical role in mineralization, with deep transformation events triggered by the supercontinent cycle providing the fundamental dynamic context. Due to its high-permeability structural features, the Precambrian amphibolite facies domain is emerging as a promising target for deep resource exploration (<xref ref-type="bibr" rid="B16">Deng et al., 2018</xref>; <xref ref-type="bibr" rid="B67">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B80">Zhang et al., 2022</xref>).</p>
<p>There are two predominant schools of thought in the study of genetic models: The metamorphic fluid model highlights the gold-releasing mechanism via the phase transition of pyrite to pyrrhotite, whereas the mantle-derived fluid model argues that ore-forming materials originate from subducting slabs or the lithospheric mantle, with supercritical fluids driving metal migration under non-equilibrium conditions (<xref ref-type="bibr" rid="B54">Nyk&#xe4;nen et al., 2015</xref>; <xref ref-type="bibr" rid="B53">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B83">Zhao et al., 2022</xref>; <xref ref-type="bibr" rid="B11">David et al., 2024</xref>). Research on the Jiaodong ore concentration area in China provides critical evidence for this. Its Pb-Hg-S isotopic system reveals that ore-forming materials derive from the enriched lithospheric mantle, and the heavy &#x3b4;<sup>34</sup>S values (&#x2b;8&#x2030; to &#x2b;12&#x2030;) confirm the dominant role of devolatilization processes in subducting slabs. The &#x201c;detachment fault system &#x2b; basement activation zone &#x2b; mantle source channel&#x201d; composite ore-controlling model established based on this region demonstrates that asthenosphere upwelling triggered by the rollback of the Paleo-Pacific plate forms fluid conduits through the Tan-Lu Fault Zone, resulting in a negative correlation between the intensity of gold mineralization and the distance from the fault. This offers new insights into the dynamics of intracontinental mineralization (<xref ref-type="bibr" rid="B29">Goldfarb et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Li et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Li and Santosh, 2017</xref>; <xref ref-type="bibr" rid="B64">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B77">Zhang et al., 2024</xref>).</p>
<p>Orogenic gold deposits in China exhibit a distinctive pattern characterized by &#x201c;three mineralization periods and seven distribution belts&#x201d; and are categorized into three primary mineralization domains: the Paleozoic, Mesozoic, and Cenozoic (<xref ref-type="bibr" rid="B15">Deng et al., 2015b</xref>). The mineralization peak during the Cretaceous is dynamically linked to the bidirectional subduction of the Paleo-Pacific Plate and the Neo-Tethys Plate. The spatio-temporal distribution of the seven Phanerozoic metallogenic belts is strictly governed by the sequence of orogenic events, with mineralization ages generally lagging behind the peak of regional metamorphism. Investigations into the mineralization characteristics of specific geological units, such as the Cathaysia Block and the Qingshan Deposit, have further substantiated the universality of the mantle-derived fluid mineralization model (<xref ref-type="bibr" rid="B20">Deng et al., 2014b</xref>; <xref ref-type="bibr" rid="B31">Groves and Santosh, 2016</xref>; <xref ref-type="bibr" rid="B64">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B32">Groves et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Jiang and Ma, 2024</xref>).</p>
<p>Innovations in technical methodologies have substantially advanced the understanding of ore genesis mechanisms. Micro-area <italic>in situ</italic> isotope analysis demonstrates that the As content in pyrite displays a core-edge gradient variation (500 ppm &#x2192; 2000 ppm), which aligns with the evolutionary trends of the Co/Ni ratio. Combined with fluid inclusion composition data obtained via LA-ICP-MS, this has led to the establishment of a coupled mineralization mechanism involving Au(HS)<sub>2</sub>
<sup>-</sup> complex migration and adsorption by iron sulfide colloids. Numerical simulations further confirm that a pressure drop of approximately 150 MPa in an extensional tectonic setting can induce fluid boiling, while iron sulfide nanocolloids (specific surface area &#x3e;50 m<sup>2</sup>/g) markedly enhance gold adsorption efficiency through surface charge regulation (Zeta potential &#x3c;&#x2212;30 mV) (<xref ref-type="bibr" rid="B23">Fougerouse et al., 2016</xref>; <xref ref-type="bibr" rid="B21">Deng et al., 2020b</xref>; <xref ref-type="bibr" rid="B47">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B3">Cao et al., 2023</xref>; <xref ref-type="bibr" rid="B68">Wu et al., 2024</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>This study utilized bibliometric methods to systematically elucidate the trajectory of knowledge evolution in orogenic gold deposits from 1995 to 2025. The findings indicate that the development of this discipline follows a three-stage evolutionary pattern characterized by &#x201c;theoretical foundation - technological integration - paradigm breakthrough,&#x201d; which aligns closely with the continuous upgrading of global mineral resource strategic demands and the revolutionary advancements in analytical techniques.</p>
<p>From a geographical distribution perspective, the global research landscape exhibits a distinct &#x201c;dual-core drive&#x201d; feature. China has established its academic authority through 1,031 publications, leveraging its resource endowment in the Tethyan-Pacific composite metallogenic domain and substantial national-level research investment. Meanwhile, France and Germany have demonstrated their capabilities as traditional European geological powers by playing key roles in transnational cooperation networks, showcasing their expertise in knowledge integration.</p>
<p>The evolution trajectory of keywords clearly delineates three major paradigm shifts in research: (1) A shift in research perspective from static deposit description to dynamic process deconstruction (from &#x201c;mineralization&#x201d; to &#x201c;fluid evolution&#x201d;); (2) An evolution in analytical paradigms from qualitative descriptions to quantitative modeling (methodology transitioning from &#x201c;geochemistry&#x201d; to &#x201c;spatial modeling&#x201d;); and (3) A practical orientation shift from empirical exploration to theory-driven approaches (paradigm transitioning from &#x201c;tectonic environment&#x201d; to &#x201c;prospecting prediction&#x201d;).</p>
<p>Through keyword clustering and co-occurrence mapping, two mainstream theories at the current disciplinary frontier were identified: (1) The metamorphic fluid school emphasizes ore-controlling mechanisms via sulfide phase transformations (&#x3b4;<sup>34</sup>S &#x3d; &#x2212;5&#x2030; to &#x2b;5&#x2030;), while (2) the mantle fluid school advocates for the contribution of deep materials (&#x394;<sup>199</sup>Hg &#x2248; 0). Recent numerical simulations suggest that the fluid phase transition process triggered by a pressure drop of 150 MPa (Zeta potential &#x3c;&#x2212;30 mV) may represent a critical breakthrough in unifying these two theories.</p>
<p>Based on existing research results, it is recommended that future studies focus on three core directions: (1) Simulating the phase evolution of supercritical fluids (H<sub>2</sub>O-CO<sub>2</sub> &#xb1; CH<sub>4</sub>) and their cross-sphere migration mechanisms; (2) Reconstructing the lithospheric material cycle in four-dimensional spatiotemporal dynamics; and (3) Developing high-precision orebody location predictions driven by artificial intelligence. To achieve these goals, the research path should emphasize: (1) Constructing quantitative models of crust-mantle material contributions and clarifying the multi-sphere interaction processes of supercritical fluids; (2) Developing next-generation deep exploration technology systems to overcome existing exploration bottlenecks. For example, the &#x201c;four-step&#x201d; exploration model established in the Jiaodong metallogenic belt achieved significant mineral exploration breakthroughs at depths exceeding 2,000 m. Its theoretical framework&#x2014;&#x201c;structural analysis - fluid tracing - mineralization simulation - engineering verification&#x201d;&#x2014;provides a paradigm for continental gold exploration. Additionally, integrating multi-isotope coupled tracing technology with three-dimensional dynamic prediction models can promote a fundamental transformation in deep mineral exploration, transitioning from an empirical statistical model to a process-driven model (<xref ref-type="bibr" rid="B60">Th&#xe9;baud and Rey, 2013</xref>; <xref ref-type="bibr" rid="B28">Goldfarb and Santosh, 2014</xref>; <xref ref-type="bibr" rid="B59">Sun et al., 2019</xref>; <xref ref-type="bibr" rid="B83">Zhao et al., 2022</xref>; <xref ref-type="bibr" rid="B80">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="B39">Jiang et al., 2023</xref>).</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>This study reveals a clear trajectory of theoretical foundation - technological integration - paradigm breakthrough in the research on orogenic gold deposits: &#x2460; during the theoretical foundation period (1995&#x2013;2003), the focus was on tectonic ore-controlling mechanisms, establishing a classification system represented by <xref ref-type="bibr" rid="B30">Groves et al. (1998)</xref> in &#x201c;Reviews in Mineralogy and Geochemistry.&#x201d; &#x2461; In the subsequent technological integration period (2004&#x2013;2014), cross-innovation was achieved through the combination of isotope tracing and mineralization dynamic modeling, validating <xref ref-type="bibr" rid="B26">Goldfarb and Groves (2015)</xref> theoretical breakthrough regarding fluid multiplicity. &#x2462; The ongoing paradigm breakthrough period (2015&#x2013;2025), marked by the widespread application of LA-ICP-MS micro-area analysis technology (with a technology intensity index of 9.87), accomplished a leap in research scale from macroscopic tectonics to nanomineralogy, overcoming the million-year-level precision bottleneck in mineralization chronology.</p>
<p>The global scientific landscape exhibits a &#x201c;four-pole multi-point&#x201d; competitive pattern: China (1,031 papers), Australia (626 papers), Canada (326 papers), and the United States (180 papers) constitute the core contributors. France (betweenness centrality of 0.37) and Germany (0.26) play pivotal roles in transnational cooperation networks, while the University of Western Australia (betweenness centrality of 0.71) forms a unique academic bridge based on the Yilgarn Craton. Major institutions include the China University of Geosciences (495 papers), the Chinese Academy of Sciences (300 papers), and the University of Western Australia (255 papers). High-productivity authors such as Deng Jun (56 papers), Santosh M (55 papers), and Wang Qingfei (36 papers), along with highly cited scholars Groves DI (3,459 citations) and Goldfarb RJ (4,590 citations), lead the field&#x2019;s development.</p>
<p>Keyword co-occurrence analysis identifies nine research clusters, with core terms such as &#x201c;orogenic gold deposits&#x201d; (554 occurrences), &#x201c;mineralization&#x201d; (536 occurrences), and &#x201c;evolution&#x201d; (452 occurrences) forming the theoretical basis.</p>
<p>The timeline spectrum reveals that the research focus has transitioned from an early emphasis on tectonic activities, fluid migration, and mineralization mechanisms (1995&#x2013;2014) to the investigation of the origin and evolution of ore-forming fluids, as well as the spatiotemporal modeling of mineralization processes (2015&#x2013;2025). Emerging research directions, including isotopic constraints and tracing of ore-forming fluids, and the study of metal sources, have progressively gained significance. In the co-citation network, <xref ref-type="bibr" rid="B33">Groves et al.&#x2019;s (1998)</xref> classification system paper (cited 1,689 times) and Goldfarb RJ et al.&#x27;s (2015) fluid evolution theory (cited 754 times) serve as key knowledge bridges.</p>
<p>Two major theoretical debates exist at the disciplinary frontier: The metamorphic fluid school emphasizes ore control via sulfide phase transformation (&#x3b4;<sup>34</sup>S &#x3d; &#x2212;5&#x2030;&#x223c;&#x2b;5&#x2030;), while the mantle fluid school advocates for deep material contributions (&#x394;<sup>199</sup>Hg &#x2248; 0). The mantle-source sulfur isotope characteristics (&#x2b;8&#x2030;&#x223c;&#x2b;12&#x2030;) and the crust-mantle mixed lead model (&#x3bc; &#x3d; 9.3&#x2013;9.8) of the Jiaodong deposits provide critical evidence for the latter. The technological revolution has advanced understanding of mineralization mechanisms. LA-ICP-MS (intensity 9.87) and Sm-Nd dating (8.42) technologies have enabled mineralization chronology precision at the 100,000-year level, supporting <xref ref-type="bibr" rid="B64">Wang et al.&#x2019;s (2019)</xref> &#x201c;three-stage mineralization&#x201d; theory. Numerical simulations suggest that fluid boiling triggered by a 150 MPa pressure drop and sulfide colloid adsorption (Zeta potential &#x3c;&#x2212;30 mV) may serve as a key point for integrating theories.</p>
<p>The discipline faces three major challenges: &#x2460;The English literature bias in the WoSCC database may underestimate contributions from non-English-speaking countries; &#x2461;Data for 2024&#x2013;2025 contain predictive components requiring subsequent validation; &#x2462;There remains a theoretical gap in simulating the phase behavior of supercritical fluids (H<sub>2</sub>O-CO<sub>2</sub> &#xb1; CH<sub>4</sub>). Future research should focus on:&#x2460;Constructing a 4D visualization platform for lithospheric material cycles; &#x2461;Developing AI-driven orebody location prediction systems; &#x2462;Establishing international deep-drilling alliances (drilling depth &#x3e;8 km) to promote the cross-integration of deep exploration technology and big data analysis. This study&#x2019;s multi-dimensional analytical framework not only provides a methodological reference for geological bibliometrics but also offers valuable insights into the inherent logic of knowledge evolution.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>KXL: Writing &#x2013; original draft, Writing &#x2013; review and editing. NJ: Writing &#x2013; original draft, Writing &#x2013; review and editing. YQZ: Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by Discipline Development Evaluation Research Center foundation (2024XKFZPJ-Z02) and Chengdu University of Technology (2025 Philosophical and Social Science Research Fund).</p>
</sec>
<ack>
<p>Sincere gratitude to the editorial team of Frontiers in Earth Science, as well as to the reviewers for their invaluable contributions.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<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 sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<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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