GTM 2026: 16TH GLOBAL TECHMINING CONFERENCE

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Adan, Houda	Generative AI Skills as Human Capital: An Empirical Study on Its Interplay with Scientific Collaboration Networks
An, Lu	Hybrid Metric-Guided Multi-Agent Debate for Keyphrase Extraction from Scientific Literature Multi-dimensional Graph Convolutional Patent Classification Model based on Cross-modal Fusion and Technological Evolution
Antoni, Ntorina	Interpretable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
Arhiliuc, Cristina	What Comes Next: Analyzing Limitations and Future Work in Scientific Writing
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Bagourd, Paul	Forecasting Conceptual Diffusion in Science Interpretable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
Berensmeier, Laura	Patterns of Inventive Problem Solving in Patents: TRIZ Mapping, Functional Creativity, and Patent Value
Bian, Jing	A Cross-Modal Tech Mining Framework for Forecasting Innovation: Evidence from Additive Manufacturing A Research on Construction of Technological Innovation Space Based on Fitness Landscape
Bianchini, Stefano	Chat-PhD: The Role of LLM in Shaping the Research Practices and Productivity of Young Scholars
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Cai, Zhishan	Potential Application Scenario Identification of Artificial Intelligence Technologies Based on Large Language Model and Heterogeneous Graph Neural Network
Cao, Xiaoli	Industry demand-driven university patent recommendation: A heterogeneous graph neural network-based solution
Cao, Xiaoli	Are Large Language Models Reliable Reviewer Assistants? A Three-Dimensional Evaluation on Real Conference Submissions
Chang, Hung-Chi	The Evolution of the Dynamics of AI Innovation in Small Emerging Economies Drivers of Green Technology Innovation in Emerging Economies
Chataing, Thibaut	Forecasting Conceptual Diffusion in Science Interpretable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
Chen, Dan	Research Trends in SDGs Interlinkages and Network Construction
Chen, Gefei	An LLM-Augmented Knowledge Graph Framework for Quantitative Intelligence Analysis: A Case Study of All-Solid-State Lithium Batteries
Chen, Hongshu	Who to Collaborate in “AI for Science”? How Authors’ Knowledge Composition Shapes Network dynamics Generative AI Skills as Human Capital: An Empirical Study on Its Interplay with Scientific Collaboration Networks
Chen, Ji	Health Disinformation Originating from AIGC on Social Media: State of Governance, Challenges, and Exploration of Future Paths
Chen, Jianbin	Algorithmic Decision-making in Digital Governance:A Framework of Socio-Technical–Governance Co-Adaptation
Chen, Jingyan	Identifying the “Sleeping Beauty” in Science: Can Generative AI Predict the Future Impact of Non-Consensus Innovations?
Chen, Liang	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
Chen, Lin	Who to Collaborate in “AI for Science”? How Authors’ Knowledge Composition Shapes Network dynamics
Chen, Shih-Hsin	The Evolution of the Dynamics of AI Innovation in Small Emerging Economies Drivers of Green Technology Innovation in Emerging Economies
Chen, Wei	An LLM-Augmented Knowledge Graph Framework for Quantitative Intelligence Analysis: A Case Study of All-Solid-State Lithium Batteries
Chen, Yunwei	Patent Transfer and Transformation Potential Evaluation and Empirical Study
Chen, Zhipeng	How Do User Discourses Shape Brand Community?
Cheng, Wei	High-Value Patent Recognition Model: Exploring Data Augmentation and Causal Mechanisms
Chuang, Yutong	From Restrictions to Opportunities: A Text-Based Framework for Cross-Industry Technology Opportunity Analysis
Cole, Carolyn	Large Language Models as Artificial Survey Respondents for Science, Technology, and Innovation (STI) Policy Monitoring
Cunningham, Scott	Determinants of the Spatial Distribution of Top National High-Tech Industrial Development Zones in China: A Provincial-Level Analysis
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Dan, Tingting	From Connectivity to Insight: A GNN-LLM Synergy for Scholar-Topic Recommendation
Deng, Amei	Research on Relationship Recognition and Prediction Based on the Integration of Association Rules and Graph Neural Networks
Deng, Shengli	Responding to False Health Information from the AIGC Based on Characterization and Identification Perspectives Health Disinformation Originating from AIGC on Social Media: State of Governance, Challenges, and Exploration of Future Paths
Deschryvere, Matthias	Large Language Models as Artificial Survey Respondents for Science, Technology, and Innovation (STI) Policy Monitoring
Ding, Mingli	Node Dynamics and Structural Trees in Technological Evolution: Diffusion Patterns in Term Networks
Ding, Nian	Beyond the Mainstream: Diffusion and Spillovers of Non-English Origin Theories
Ding, Ruiyuan	Technology Opportunity Identification for Idea Generation using Generative Topographic Mapping and the Gaps between Science and Technology Mining
Dong, Jinxin	An LLM-Augmented Knowledge Graph Framework for Quantitative Intelligence Analysis: A Case Study of All-Solid-State Lithium Batteries
Dong, Lu	Experimental procedural complexity and research innovativeness: Evidence from synchrotron light source publications
Dosu, David	Forecasting Conceptual Diffusion in Science Interpretable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
Du, Jianmin	Sci-Tech Finance Drives SMEs Innovation: Evidence from China’s Intellectual Property Securitization Issuance
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Ehsan, Toqeer	Large Language Models as Artificial Survey Respondents for Science, Technology, and Innovation (STI) Policy Monitoring
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Fan, Junjie	How Disruptive Traits of Highly Cited Patents Affect Technology Diffusion: Evidence from USPTO Patents
Feng, Yun	Intelligent Analysis of Patents for Cross-Domain Technology Integration in Universities
Frietsch, Rainer	Expected and optimal shares of international co-publications
Fu, Hang	Density-adaptive Stream Text Clustering for Large Scale Dynamic Topic Modeling
Fu, Rui	Breaking through Data Constraints and Industry Homogeneity: Theoretical Model and Empirical Test for Evaluating the Innovation Potential of Startup Technology Enterprises
Fu, Xueqing	Hybrid Metric-Guided Multi-Agent Debate for Keyphrase Extraction from Scientific Literature
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Gao, Qiang	Unveiling Technology Convergence Dynamics in Digital Health: A Dual-Perspective Network Analysis Framework
Ge, Jingguang	Scientific Collaborator Recommendation Integrating Academic Potential, Collaborative Potential, and Research Interests
Gong, Xiaoyun	Forecasting Ternary Technology Convergence：A Perspective of Edge Dynamics
Gruber, Sonia	Expected and optimal shares of international co-publications
Gui, Jie	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
Guo, Shijie	Experimental procedural complexity and research innovativeness: Evidence from synchrotron light source publications
Guo, Ying	Beyond Flat Keywords: A Hierarchical and Functional Framework for Fine-Grained Scientific Intelligence Mining Sci-Tech Finance Drives SMEs Innovation: Evidence from China’s Intellectual Property Securitization Issuance The Price of “Standing on the Shoulders of Giants”: Unpacking the Novelty–Impact Paradox in Science
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Hajikhani, Arash	Large Language Models as Artificial Survey Respondents for Science, Technology, and Innovation (STI) Policy Monitoring
Han, Jiapeng	Technology Convergence Network Structure and Its Formation Mechanisms from a Demand-Side Perspective: An Exponential Random Graph Model Analysis Configurational Effects of Technology Convergence on Industrial Innovation from a Multidimensional Theoretical Perspective:A Tree-Model-Based Fuzzy-Set Qualitative Comparative Analysis
Hao, Xiping	Hybrid Metric-Guided Multi-Agent Debate for Keyphrase Extraction from Scientific Literature Intent-Aware Explainable Local Citation Recommendation
Haunschild, Robin	Revealing the Evolutionary Characteristics of Emerging Technologies toward Key Generic Technologies: A Study Based on Multi-Source Data and Multi-Dimensional Indicators Scientific Relatedness Constrains Novelty in Global Sustainability Science Technology Convergence Network Structure and Its Formation Mechanisms from a Demand-Side Perspective: An Exponential Random Graph Model Analysis From Citation to Practice: Assessing the Impact of Academic Papers on Clinical Applications in Chinese Clinical Guidelines Configurational Effects of Technology Convergence on Industrial Innovation from a Multidimensional Theoretical Perspective:A Tree-Model-Based Fuzzy-Set Qualitative Comparative Analysis
Hu, Wei	Technology fusion forecasting via temporal hypergraph link prediction——with application in cybersecurity
Hu, Zhengyin	Technology Convergence Network Structure and Its Formation Mechanisms from a Demand-Side Perspective: An Exponential Random Graph Model Analysis
Huang, Han	Empirical Orthogonal Function Based Analysis of Domain Knowledge Collaborative Evolution: Revealing Knowledge Teleconnection Phenomena Semantic and citation features can improve technology forecasting when extrapolating from trends
Huang, Lu	Industry demand-driven university patent recommendation: A heterogeneous graph neural network-based solution Are Large Language Models Reliable Reviewer Assistants? A Three-Dimensional Evaluation on Real Conference Submissions
Huang, Shan	Beyond Citation Intent: Identifying Knowledge Contributions
Huang, Xiao	Unveiling Technology Convergence Dynamics in Digital Health: A Dual-Perspective Network Analysis Framework
Huang, Xiaoling	Discovering breakthrough technology opportunities via SAO semantic bi-layer network analysis: Insights from technology problem-driven innovation
Huang, Ying	Comparing Corporate Basic Research Models across Ownership and Industry Contexts: Evidence from State Grid and Huawei Potential Application Scenario Identification of Artificial Intelligence Technologies Based on Large Language Model and Heterogeneous Graph Neural Network LLM-Enhanced Graph Mining for Adaptive Technology Tree Building Mapping the Science of Science: Topic Evolution and Knowledge Flows across Six Subfields Pattern Identification and Trajectory Characterization of Technology Convergence from a Dynamic Evolutionary Perspective
Huo, Chaoguang	From Connectivity to Insight: A GNN-LLM Synergy for Scholar-Topic Recommendation
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Jang-Jaccard, Julian	Forecasting Conceptual Diffusion in Science Interpretable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
Jeong, Chanhyeok	A Multi-Agent Framework for TRL-Based Technology Maturity Assessment and Inter-Firm Technology Gap Analysis
Ji, Shen	LLM-Based Semantic Mining of Patent Functions and Regional Technological Structure Evolution: The Case of China’s NEV Industry
Ji, Yakun	An Optimized BERTopic Modeling Framework for Emerging Technology Identification
Jia, Yangyang	Who to Collaborate in “AI for Science”? How Authors’ Knowledge Composition Shapes Network dynamics
Jia, Zhixuan	Research on Potential Disruptive Technological Measurement Based on Multi-source data —— Taking the Field of Artificial Intelligence as an Example
Jiang, Chunlin	From Paper Content to Journal Quality: An LLM-Based Comparative Assessment Approach within the REF 2021 Framework
Jiang, Lidan	Identifying the “Sleeping Beauty” in Science: Can Generative AI Predict the Future Impact of Non-Consensus Innovations?
Jiang, Man	An Optimized BERTopic Modeling Framework for Emerging Technology Identification
Jin, Chuhan	Breaking through Data Constraints and Industry Homogeneity: Theoretical Model and Empirical Test for Evaluating the Innovation Potential of Startup Technology Enterprises
Jing, Wenqi	Sci-Tech Finance Drives SMEs Innovation: Evidence from China’s Intellectual Property Securitization Issuance
Jun, Zhang	LLM-Based Semantic Mining of Patent Functions and Regional Technological Structure Evolution: The Case of China’s NEV Industry
Junhui, Li	Research on Value Assessment and Recommendation of Lapsed Patents Based on Heterogeneous Graph Attention Network
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Kai, Song	Research on Value Assessment and Recommendation of Lapsed Patents Based on Heterogeneous Graph Attention Network
Kang, Lele	Understanding Technology Evolution from a Problem Perspective: Integrating TRIZ with Patent Analysis
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Li, Gang	Beyond Citation Intent: Identifying Knowledge Contributions
Li, George Yunxiong	Scientific Relatedness Constrains Novelty in Global Sustainability Science
Li, Jiahui	Research on Patent Technology Topic Evolution Identification Based on VSM and D-S Evidence Theory Research on Patent Citation Prediction Method Based on Multilayer Heterogeneous Networks
Li, Jiangbo	From Paper Content to Journal Quality: An LLM-Based Comparative Assessment Approach within the REF 2021 Framework
Li, Longfei	From Citation to Practice: Assessing the Impact of Academic Papers on Clinical Applications in Chinese Clinical Guidelines
Li, Munan	A Study on the Convergence Mechanism Between Artificial Intelligence and Carbon Neutrality Technologies: A Patent Semantic Network Approach Firm Patent Recommendation Based on Relationship Graph Attention Network-A Case Study of Heavy-duty Gas Turbine Field
Li, Ran	Research on the Diffusion Mechanism of Core Innovative Ideas within a Domain from a Technology Convergence Perspective
Li, Ruinan	Tracing the Interactions between Academic, Technological, and Policy Impacts of Research Outputs From Scientific Visibility to Technological Use: Evidence on the Effect of Open Access on Academic and Technological Impact of Highly Cited Artificial Intelligence Papers
Li, Ruiying	From Citation to Practice: Assessing the Impact of Academic Papers on Clinical Applications in Chinese Clinical Guidelines
Li, Ruoyang	An AI-Assisted Framework for Identifying Core Theories in Interdisciplinary Research: A Case Study of Information Resources Management
Li, Shixuan	Intelligent Analysis of Patents for Cross-Domain Technology Integration in Universities
Li, Shuying	Research on Patent Technology Topic Evolution Identification Based on VSM and D-S Evidence Theory A BERT-Driven Approach for Identifying Patent Risks in Export Control Contexts Identification of Opportunities and Risks for Technological Innovation Based on Explainable Artificial Intelligence Model Research on Patent Citation Prediction Method Based on Multilayer Heterogeneous Networks Technology fusion forecasting via temporal hypergraph link prediction——with application in cybersecurity
Li, Xin	Configurational Effects of Technology Convergence on Industrial Innovation from a Multidimensional Theoretical Perspective:A Tree-Model-Based Fuzzy-Set Qualitative Comparative Analysis
Li, Yanbing	A Study on the Convergence Mechanism Between Artificial Intelligence and Carbon Neutrality Technologies: A Patent Semantic Network Approach
Li, Yizhan	Trade-off of Short-term Scientific Mobility: Travelers yield more Novel but less Disruptive Knowledge Experimental procedural complexity and research innovativeness: Evidence from synchrotron light source publications
Li, You	Research on Patent Technology Topic Evolution Identification Based on VSM and D-S Evidence Theory A BERT-Driven Approach for Identifying Patent Risks in Export Control Contexts
Li, Yue	Understanding Technology Evolution from a Problem Perspective: Integrating TRIZ with Patent Analysis
Li, Zexia	How Big Scientific Facilities contribute to the SDG Science Trade-off of Short-term Scientific Mobility: Travelers yield more Novel but less Disruptive Knowledge Experimental procedural complexity and research innovativeness: Evidence from synchrotron light source publications
Li, Ziran	Node Dynamics and Structural Trees in Technological Evolution: Diffusion Patterns in Term Networks
Lian, Xiangpeng	Sci-Tech Finance Drives SMEs Innovation: Evidence from China’s Intellectual Property Securitization Issuance
Liang, Guoqiang	Tracking Interdisciplinary Knowledge Evolution with LLM-Augmented Semantic BERTopic: A Multidimensional Framework for Complex Research Domain Analysis Emerging Topics Detection Based on the Multilayer Semantic Network: an “Issues-Solutions-Effects” framework Research on a Method for Identifying High-Value Patents by Integrating Text Semantic Information
Liang, Jiwen	Demand Modeling–Driven Technology Supply–Demand Matching: A Case Study in the Biopharmaceutical Domain
Liang, Zehui	An AI-Assisted Framework for Identifying Core Theories in Interdisciplinary Research: A Case Study of Information Resources Management
Liang, Zhentao	Beyond Citation Intent: Identifying Knowledge Contributions
Liao, Qingyun	Patent Analytics for Mapping SDGs Interlinkages and Identifying Critical Technologies
Lin, Gege	Emerging Topics Detection Based on the Multilayer Semantic Network: an “Issues-Solutions-Effects” framework Research on a Method for Identifying High-Value Patents by Integrating Text Semantic Information
Lin, Jiawei	Beyond Flat Keywords: A Hierarchical and Functional Framework for Fine-Grained Scientific Intelligence Mining
Lin, Zihan	The Impact of EU Electric Vehicle Tariffs on Critical Metal Sectors and Global Welfare
Liu, Biao	A Dynamic Heterogeneous Graph Learning Framework for Scientific Collaboration Recommendation
Liu, Chunjiang	MT-KDF: A Multi-Teacher Knowledge Distillation Framework with Embedding Enhancement and Multi-Scale Feature Fusion for Chinese Scientific Entity Recognition Configurational Effects of Technology Convergence on Industrial Innovation from a Multidimensional Theoretical Perspective:A Tree-Model-Based Fuzzy-Set Qualitative Comparative Analysis
Liu, Jia	Fine-grained Technology Opportunity Identification and Evaluation based on Knowledge Graph
Liu, Junwan	Forecasting Ternary Technology Convergence：A Perspective of Edge Dynamics
Liu, Liyang	Comparing Corporate Basic Research Models across Ownership and Industry Contexts: Evidence from State Grid and Huawei
Liu, Meijun	Scientific Relatedness Constrains Novelty in Global Sustainability Science
Liu, Ming	Density-adaptive Stream Text Clustering for Large Scale Dynamic Topic Modeling
Liu, Qinghai	A Dynamic Heterogeneous Graph Learning Framework for Scientific Collaboration Recommendation
Liu, Xiaoyu	A Dynamic Heterogeneous Graph Learning Framework for Scientific Collaboration Recommendation
Liu, Xinhui	Understanding Technology Evolution from a Problem Perspective: Integrating TRIZ with Patent Analysis
Liu, Yuchun	Firm Patent Recommendation Based on Relationship Graph Attention Network-A Case Study of Heavy-duty Gas Turbine Field
Liu, Zhaohui	From Connectivity to Insight: A GNN-LLM Synergy for Scholar-Topic Recommendation
Luo, Manting	Dual Transitions under De-Globalization: Evolutionary Pathways of Emerging Economies' Future Industrial Innovation Ecosystems Reconfiguring Technology Governance under Deglobalization and Techno-nationalism: Evidence from the Global Semiconductor Value Chain From Disruption to Reconstruction: Reconfiguring the Innovation Ecosystem of Future Industries under De-globalization: A Case Study of Quantum Technology
Lyu, Lucheng	Analyzing the Landscape of Technology Convergence in AI4S Based on a "Technology-Scenario" Two-Mode Network
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Ma, Jing	Beyond Flat Keywords: A Hierarchical and Functional Framework for Fine-Grained Scientific Intelligence Mining Identifying Features and Evolutionary Mechanisms of Sleeping Beauty Patents in Semiconductor Field Based on a Hybrid Vector Method
Ma, Ningze	Identifying Features and Evolutionary Mechanisms of Sleeping Beauty Patents in Semiconductor Field Based on a Hybrid Vector Method
Ma, Xubu	Identifying Features and Evolutionary Mechanisms of Sleeping Beauty Patents in Semiconductor Field Based on a Hybrid Vector Method
Ma, Yinbo	Intelligent Analysis of Patents for Cross-Domain Technology Integration in Universities
Maillart, Thomas	Forecasting Conceptual Diffusion in Science Interpretable Forecasting of Scientific Breakthroughs from Concept Network Dynamics
Mao, Jin	Beyond Citation Intent: Identifying Knowledge Contributions
Mao, Yuting	Mapping the Science of Science: Topic Evolution and Knowledge Flows across Six Subfields
Mermoud, Alain	Forecasting Conceptual Diffusion in Science
Min, Chao	Node Dynamics and Structural Trees in Technological Evolution: Diffusion Patterns in Term Networks
Moehrle, Martin	Patterns of Inventive Problem Solving in Patents: TRIZ Mapping, Functional Creativity, and Patent Value
Mu, Lin	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
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Nan, Hu	LLM-Based Semantic Mining of Patent Functions and Regional Technological Structure Evolution: The Case of China’s NEV Industry
Napoli, Ivan	Chat-PhD: The Role of LLM in Shaping the Research Practices and Productivity of Young Scholars
Nie, Yaqi	Research on a Method for Identifying High-Value Patents by Integrating Text Semantic Information
Ning, Xia	An AI-Assisted Framework for Identifying Core Theories in Interdisciplinary Research: A Case Study of Information Resources Management
Niu, Shihang	From Paper Content to Journal Quality: An LLM-Based Comparative Assessment Approach within the REF 2021 Framework
Niu, Ziyan	Research on Relationship Recognition and Prediction Based on the Integration of Association Rules and Graph Neural Networks
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Ouyang, Wenhao	From Paper Content to Journal Quality: An LLM-Based Comparative Assessment Approach within the REF 2021 Framework
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Pan, Minghao	Responding to False Health Information from the AIGC Based on Characterization and Identification Perspectives
Pan, Siyu	Dual Transitions under De-Globalization: Evolutionary Pathways of Emerging Economies' Future Industrial Innovation Ecosystems Reconfiguring Technology Governance under Deglobalization and Techno-nationalism: Evidence from the Global Semiconductor Value Chain From Disruption to Reconstruction: Reconfiguring the Innovation Ecosystem of Future Industries under De-globalization: A Case Study of Quantum Technology
Pang, Hongshen	MT-KDF: A Multi-Teacher Knowledge Distillation Framework with Embedding Enhancement and Multi-Scale Feature Fusion for Chinese Scientific Entity Recognition
Pellegrino, Gabriele	Chat-PhD: The Role of LLM in Shaping the Research Practices and Productivity of Young Scholars
Pelletier, Pierre	State of the Art of Novelty Indicators Chat-PhD: The Role of LLM in Shaping the Research Practices and Productivity of Young Scholars
Peng, Xiangcai	Sci-Tech Finance Drives SMEs Innovation: Evidence from China’s Intellectual Property Securitization Issuance
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Qi, Yan	Technology Convergence Network Structure and Its Formation Mechanisms from a Demand-Side Perspective: An Exponential Random Graph Model Analysis
Qin, Chunxiu	Identifying Features and Evolutionary Mechanisms of Sleeping Beauty Patents in Semiconductor Field Based on a Hybrid Vector Method
Qin, Hao	Extending Technological Main Paths Combining SAO Semantic Analysis and Function-oriented Search Extending Technological Main Paths Combining SAO Semantic Analysis and Function-oriented Search
Qiu, Xinxin	The Price of “Standing on the Shoulders of Giants”: Unpacking the Novelty–Impact Paradox in Science
Quan, Zhibang	Beyond Citation Intent: Identifying Knowledge Contributions
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Ran, Congjing	Research on Potential Disruptive Technological Measurement Based on Multi-source data —— Taking the Field of Artificial Intelligence as an Example
Ren, Hang	Industry demand-driven university patent recommendation: A heterogeneous graph neural network-based solution Are Large Language Models Reliable Reviewer Assistants? A Three-Dimensional Evaluation on Real Conference Submissions
Ren, Qiaoyang	Beyond Flat Keywords: A Hierarchical and Functional Framework for Fine-Grained Scientific Intelligence Mining
Rong, Guoyang	Beyond the Mainstream: Diffusion and Spillovers of Non-English Origin Theories
Rui, Xiao	Patent Analytics for Mapping SDGs Interlinkages and Identifying Critical Technologies
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Schubert, Torben	Expected and optimal shares of international co-publications
Shi, Kaiwen	Empirical Orthogonal Function Based Analysis of Domain Knowledge Collaborative Evolution: Revealing Knowledge Teleconnection Phenomena Semantic and citation features can improve technology forecasting when extrapolating from trends
Shi, Yonghao	Demand Modeling–Driven Technology Supply–Demand Matching: A Case Study in the Biopharmaceutical Domain
Shibayama, Sotaro	State of the Art of Novelty Indicators
Shujing, Shi	Research on Value Assessment and Recommendation of Lapsed Patents Based on Heterogeneous Graph Attention Network
Song, Rui	Detecting Emerging Technology Evolution via Multi-Feature Fusion and Temporal Cluster Similarity
Sui, Hongzhe	Forecasting Ternary Technology Convergence：A Perspective of Edge Dynamics
Sun, Beibei	Tracing the Interactions between Academic, Technological, and Policy Impacts of Research Outputs From Scientific Visibility to Technological Use: Evidence on the Effect of Open Access on Academic and Technological Impact of Highly Cited Artificial Intelligence Papers
Sun, Jian	Emerging Topics Detection Based on the Multilayer Semantic Network: an “Issues-Solutions-Effects” framework Research on a Method for Identifying High-Value Patents by Integrating Text Semantic Information
Sun, Jie	Beyond Citation Intent: Identifying Knowledge Contributions
Sun, Yuling	Research Trends in SDGs Interlinkages and Network Construction
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Tan, Xiao	Configurational Effects of Technology Convergence on Industrial Innovation from a Multidimensional Theoretical Perspective:A Tree-Model-Based Fuzzy-Set Qualitative Comparative Analysis
Tang, Chao	Revealing the Evolutionary Characteristics of Emerging Technologies toward Key Generic Technologies: A Study Based on Multi-Source Data and Multi-Dimensional Indicators Patent Transfer and Transformation Potential Evaluation and Empirical Study
Tang, Qian	Are Large Language Models Reliable Reviewer Assistants? A Three-Dimensional Evaluation on Real Conference Submissions
Tian, Bowen	Dual Transitions under De-Globalization: Evolutionary Pathways of Emerging Economies' Future Industrial Innovation Ecosystems Reconfiguring Technology Governance under Deglobalization and Techno-nationalism: Evidence from the Global Semiconductor Value Chain From Disruption to Reconstruction: Reconfiguring the Innovation Ecosystem of Future Industries under De-globalization: A Case Study of Quantum Technology
Tian, Wenfang	Research on Potential Disruptive Technological Measurement Based on Multi-source data —— Taking the Field of Artificial Intelligence as an Example
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Wang, Fan	Responding to False Health Information from the AIGC Based on Characterization and Identification Perspectives Health Disinformation Originating from AIGC on Social Media: State of Governance, Challenges, and Exploration of Future Paths
Wang, Fuxing	Research on Potential Disruptive Technological Measurement Based on Multi-source data —— Taking the Field of Artificial Intelligence as an Example
Wang, Hanbai	Tracking Interdisciplinary Knowledge Evolution with LLM-Augmented Semantic BERTopic: A Multidimensional Framework for Complex Research Domain Analysis
Wang, Hongyu	Empirical Orthogonal Function Based Analysis of Domain Knowledge Collaborative Evolution: Revealing Knowledge Teleconnection Phenomena Semantic and citation features can improve technology forecasting when extrapolating from trends
Wang, Jiamin	A Hybrid Topic Modeling Framework Integrating Graph-Based Clustering and Large Language Models
Wang, Jiaze	Analyzing the Landscape of Technology Convergence in AI4S Based on a "Technology-Scenario" Two-Mode Network
Wang, Lekang	Technology Convergence Network Structure and Its Formation Mechanisms from a Demand-Side Perspective: An Exponential Random Graph Model Analysis
Wang, Wanru	Discovering breakthrough technology opportunities via SAO semantic bi-layer network analysis: Insights from technology problem-driven innovation
Wang, Wentao	From Scientific Visibility to Technological Use: Evidence on the Effect of Open Access on Academic and Technological Impact of Highly Cited Artificial Intelligence Papers
Wang, Xinyao	How Big Scientific Facilities contribute to the SDG Science
Wang, Xuefeng	Who to Collaborate in “AI for Science”? How Authors’ Knowledge Composition Shapes Network dynamics Scientific Collaborator Recommendation Integrating Academic Potential, Collaborative Potential, and Research Interests Generative AI Skills as Human Capital: An Empirical Study on Its Interplay with Scientific Collaboration Networks
Wang, Yuan	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
Wang, Zhinan	From Restrictions to Opportunities: A Text-Based Framework for Cross-Industry Technology Opportunity Analysis
Waterstraat, Joe	Patterns of Inventive Problem Solving in Patents: TRIZ Mapping, Functional Creativity, and Patent Value
Wei, Feng	Research on Relationship Recognition and Prediction Based on the Integration of Association Rules and Graph Neural Networks
Wei, Jingzhu	How Do User Discourses Shape Brand Community?
Wei, Jinyu	Beyond Citation Intent: Identifying Knowledge Contributions
Wei, Mingzhu	Detecting Emerging Technology Evolution via Multi-Feature Fusion and Temporal Cluster Similarity
Wei, Ren	Experimental procedural complexity and research innovativeness: Evidence from synchrotron light source publications
Wei, Shelia X.	Discovering breakthrough technology opportunities via SAO semantic bi-layer network analysis: Insights from technology problem-driven innovation
Wu, Mengjia	Mapping the Science of Science: Topic Evolution and Knowledge Flows across Six Subfields
Wu, Tianjun	Node Dynamics and Structural Trees in Technological Evolution: Diffusion Patterns in Term Networks
Wu, Xuan	Extending Technological Main Paths Combining SAO Semantic Analysis and Function-oriented Search Extending Technological Main Paths Combining SAO Semantic Analysis and Function-oriented Search
Wu, Zhao	State of the Art of Novelty Indicators
Wu, Zhuang	LLM-based SAO Semantic Extraction and Automatic Technology Topic Identification Method
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Xia, Chunzi	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
Xian, Xin	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
Xiang, Rongrong	Responding to False Health Information from the AIGC Based on Characterization and Identification Perspectives Health Disinformation Originating from AIGC on Social Media: State of Governance, Challenges, and Exploration of Future Paths
Xiao, Mengjian	An LLM-Augmented Knowledge Graph Framework for Quantitative Intelligence Analysis: A Case Study of All-Solid-State Lithium Batteries
Xiao, Yufan	Comparing Corporate Basic Research Models across Ownership and Industry Contexts: Evidence from State Grid and Huawei Beyond the Mainstream: Diffusion and Spillovers of Non-English Origin Theories Mapping the Science of Science: Topic Evolution and Knowledge Flows across Six Subfields
Xiaoguang, Wang	Empirical Orthogonal Function Based Analysis of Domain Knowledge Collaborative Evolution: Revealing Knowledge Teleconnection Phenomena Semantic and citation features can improve technology forecasting when extrapolating from trends
Xin, Yaochen	Discovering breakthrough technology opportunities via SAO semantic bi-layer network analysis: Insights from technology problem-driven innovation
Xingyu, Liu	LLM-Based Semantic Mining of Patent Functions and Regional Technological Structure Evolution: The Case of China’s NEV Industry
Xu, Chengyue	Intelligent Analysis of Patents for Cross-Domain Technology Integration in Universities
Xu, Haiyun	Revealing the Evolutionary Characteristics of Emerging Technologies toward Key Generic Technologies: A Study Based on Multi-Source Data and Multi-Dimensional Indicators MT-KDF: A Multi-Teacher Knowledge Distillation Framework with Embedding Enhancement and Multi-Scale Feature Fusion for Chinese Scientific Entity Recognition Patent Transfer and Transformation Potential Evaluation and Empirical Study Technology Convergence Network Structure and Its Formation Mechanisms from a Demand-Side Perspective: An Exponential Random Graph Model Analysis Configurational Effects of Technology Convergence on Industrial Innovation from a Multidimensional Theoretical Perspective:A Tree-Model-Based Fuzzy-Set Qualitative Comparative Analysis
Xu, Yingqi	Identification of Opportunities and Risks for Technological Innovation Based on Explainable Artificial Intelligence Model
Xv, Jing	Variational Graph Auto-Encoders-based Technology Opportunity Analysis with Fusion Technological Map: Evidence in Chinese Digital Publishing
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Yang, Bing	Who to Collaborate in “AI for Science”? How Authors’ Knowledge Composition Shapes Network dynamics
Yang, Meishan	Algorithmic Decision-making in Digital Governance:A Framework of Socio-Technical–Governance Co-Adaptation
Yang, Ning	Technology fusion forecasting via temporal hypergraph link prediction——with application in cybersecurity
Yang, Siluo	An Optimized BERTopic Modeling Framework for Emerging Technology Identification From Citation to Practice: Assessing the Impact of Academic Papers on Clinical Applications in Chinese Clinical Guidelines
Yang, Xuemei	Identification of Potential Knowledge Diffusion Pathways from Science to Technology
Yang, Ziying	Variational Graph Auto-Encoders-based Technology Opportunity Analysis with Fusion Technological Map: Evidence in Chinese Digital Publishing
Ye, Dongmei	From Scientific Visibility to Technological Use: Evidence on the Effect of Open Access on Academic and Technological Impact of Highly Cited Artificial Intelligence Papers
Yi, Ming	Density-adaptive Stream Text Clustering for Large Scale Dynamic Topic Modeling
Yifan, Tan	LLM-Based Semantic Mining of Patent Functions and Regional Technological Structure Evolution: The Case of China’s NEV Industry
Yin, Deyun	State of the Art of Novelty Indicators
Yin, Jie	MT-KDF: A Multi-Teacher Knowledge Distillation Framework with Embedding Enhancement and Multi-Scale Feature Fusion for Chinese Scientific Entity Recognition
Yokota, Kazuki	State of the Art of Novelty Indicators
Yongxia, Li	Research on Value Assessment and Recommendation of Lapsed Patents Based on Heterogeneous Graph Attention Network
Yoon, Byungun	A Multi-Agent Framework for TRL-Based Technology Maturity Assessment and Inter-Firm Technology Gap Analysis
Yu, Chenfei	Scientific Relatedness Constrains Novelty in Global Sustainability Science
Yu, Chi	A Fine-Grained Main Path Analysis Method for Tracing Knowledge Flow in Citation Networks
Yu, Chuanming	High-Value Patent Recognition Model: Exploring Data Augmentation and Causal Mechanisms
Yu, Chuanming	Hybrid Metric-Guided Multi-Agent Debate for Keyphrase Extraction from Scientific Literature Intent-Aware Explainable Local Citation Recommendation Multi-dimensional Graph Convolutional Patent Classification Model based on Cross-modal Fusion and Technological Evolution
Yu, Xueli	Revealing the Evolutionary Characteristics of Emerging Technologies toward Key Generic Technologies: A Study Based on Multi-Source Data and Multi-Dimensional Indicators
Yu, Xuemei	LLM-based SAO Semantic Extraction and Automatic Technology Topic Identification Method
Yu, Yifei	Breaking through Data Constraints and Industry Homogeneity: Theoretical Model and Empirical Test for Evaluating the Innovation Potential of Startup Technology Enterprises LLM-Enhanced Graph Mining for Adaptive Technology Tree Building Pattern Identification and Trajectory Characterization of Technology Convergence from a Dynamic Evolutionary Perspective
Yuan, Le	Breaking through Data Constraints and Industry Homogeneity: Theoretical Model and Empirical Test for Evaluating the Innovation Potential of Startup Technology Enterprises
Yuan, Xiaoqun	Variational Graph Auto-Encoders-based Technology Opportunity Analysis with Fusion Technological Map: Evidence in Chinese Digital Publishing
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巩, Jingqian	Emerging Topics Detection Based on the Multilayer Semantic Network: an “Issues-Solutions-Effects” framework
黄
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