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这是本文档旧的修订版！

学术论文（Selected Publications）

  1. Shuo Xu, Congcong Wang, Xin An, and Jianhua Liu, 2025. CrossDI: A Comprehensive Dataset Crossing Three Databases for Calculating Disruption Indexes. Scientific Data.
  2. Muhammad Farrukh Shahzad, Shuo Xu, Xin An, Muhammad Asif, and Iqra Javed, 2025. From Policy to Practice: A Thematic Analysis of Generative AI Technologies in China's Education Sector. Interactive Learning Environments.
  3. Shuo Xu, Zhen Liu, and Xin An, 2025. STInt: An Integrated Dataset Covering Science, Technology and Industry Information in the Pharmaceutical Field. Scientific Data, Vol. 12, pp. 1056. Dataset (CSV format) Dataset (MySQL format)
  4. Muhammad Farrukh Shahzad, Shuo Xu, Sundas Hanif, and Shahla Akram, 2025. What Factors Affect the Intention to Use Information and Communication Technology? Perspectives of Chinese University Students. Humanities and Social Sciences Communications, Vol. 12, pp. 847.
  5. Shuo Xu, Congcong Wang, Xin An, Yunkang Deng, and Jianhua Liu, 2025. Do OpenCitations and Dimensions Serve as an Alternative to Web of Science for Calculating Disruption Indexes? Journal of Informetrics, Vol. 19, No. 3, pp. 101685. Note
  6. Muhammad Farrukh Shahzad, Shuo Xu, Xin An, Muhammad Asif, and Iqra Javed, 2025. Do Generative AI Technologies Play a Double-Edged Sword Role in Education? Findings from Hybrid Approach using PLS-SEM and fsQCA. Education and Information Technologies, Vol. 30, No. 14, pp. 19647-19676.
  7. Muhammad Farrukh Shahzad, Shuo Xu, Xin An, Hira Zahid, and Muhammad Asif, 2025. Learning and Teaching in the era of Generative Artificial Intelligence Technologies: An In-depth Exploration using Multi-Analytical SEM-ANN Approach. European Journal of Education, Vol. 60, No. 1, pp. e70050.
  8. Shuo Xu, Zhen Liu, Xin An, Hong Wang, and Hongshen Pang, 2025. Linkages among Science, Technology, and Industry on the basis of Main Path Analysis. Journal of Informetrics, Vol. 19, No. 1, pp. 101617. Note
  9. Muhammad Farrukh Shahzad, Shuo Xu, Huizheng Liu, and Hira Zahid, 2025. Generative Artificial Intelligence (ChatGPT-4) and Social Media Impact on Academic Performance and Psychological Well-Being in China's Higher Education. European Journal of Education, Vol. 60, No. 1, pp. e12835.
  10. Shuo Xu, Ling Li, Congcong Wang, Xin An, and Guancan Yang, 2025. An Improved Author-Topic (AT) Model with Authorship Credit Allocation Schemes. Journal of Information Science, Vol. 50, No. 1, pp. 184-204. Note
  11. Muhammad Farrukh Shahzad, Shuo Xu, and Hira Zahid, 2025. Exploring the Impact of Generative AI-based Technologies on Learning Performance through Self-Efficacy, Fairness & Ethics, Creativity, and Trust in Higher Education. Education and Information Technologies, Vol. 30, No. 3, pp. 3691-3716. (ESI Highly Cited Paper, Hot Paper)
  12. Muhammad Farrukh Shahzad, Shuo Xu, and Muhammad Asif, 2025. Factors Affecting on Generative Artificial Intelligence such as ChatGPT Use in Higher Education: An Application of Technology Acceptance Model. British Educational Research Journal, Vol. 51, No. 2, pp. 489-513. (Hot Paper)
  13. Junwan Liu, Zining Cui, Shuo Xu, Xiaofei Guo, and Zhixin Long, 2024. Prediction of Technology Convergence on the basis of Supernetwork. IEEE Transactions on Engineering Management, Vol. 71, pp. 5438-15452.
  14. Muhammad Farrukh Shahzad and Shuo Xu, 2024. Antecedents of International Entrepreneurship and Emerging Technologies help to Achieve Sustainable Development Goals: Moderating Role of Global Mindset. Technological Forecasting & Social Change, Vol. 209, pp. 123831.
  15. Shuo Xu, Yuefu Zhang, Liang Chen, and Xin An, 2024. Is Metadata of Articles about COVID-19 enough for MultiLabel Topic Classification Task? Database: The Journal of Biological Databases and Curation, Vol. 2024, pp. baae106. Dataset
  16. Guancan Yang, Jiaxin Xing, Shuo Xu, and Yuntian Zhao, 2024. A Framework Armed with Node Dynamics for Predicting Technology Convergence. Journal of Informetrics, Vol. 18, No. 4, pp. 101583. (Corrigendum)
  17. Shuo Xu, Kanwal Iqbal Khan, and Muhammad Farrukh Shahzad, 2024. Examining the Influence of Technological Self-Efficacy, Perceived Trust, Security, and Electronic Word of Mouth on ICT Usage in the Education Sector. Scientific Reports, Vol. 14, pp. 16196.
  18. Muhammad Farrukh Shahzad, Shuo Xu, and Iqra Javed, 2024. ChatGPT Awareness, Acceptance, and Adoption in Higher Education: The Role of Trust on Technology as a Cornerstone. International Journal of Educational Technology in Higher Education, Vol. 21, pp. 46. (ESI Highly Cited Paper)
  19. Muhammad Farrukh Shahzad, Shuo Xu, Xin An, and Iqra Javed, 2024. Assessing the Impact of AI-Chatbot Service Quality on User e-Brand Loyalty through Chatbot User Trust, Experience and Electronic Word of Mouth. Journal of Retailing and Consumer Services, Vol. 79, pp. 103867. (ESI Highly Cited Paper)
  20. Shuo Xu, Xinyi Ma, Hong Wang, Xin An, and Ling Li, 2024. A Recommendation Approach of Scientific Non-Patent Literature on the basis of Heterogeneous Information Network. Journal of Informetrics, Vol. 18, No. 4, pp. 101557. Note
  21. Shuo Xu, Yuefu Zhang, Xin An, and Sainan Pi, 2024. Performance Evaluation of Seven Multi-Label Classification Methods on Real-World Patent and Publication Datasets. Journal of Data and Information Science, Vol. 9, No. 2, pp. 81-103.
  22. Shuo Xu, Congcong Wang, Xin An, Liyuan Hao, and Guancan Yang, 2024. A Novel Developmental Trajectory Discovery Approach by Integrating Main Path Analysis and Intermediacy. Journal of Information Science, Vol. 50, No. 3, pp. 651-672.
  23. Muhammad Farrukh Shahzad, Shuo Xu, and Rimsha Baheer, 2024. Assessing the Factors Influencing the Intention to Use Information and Communication Technology Implementation and Acceptance in China's Education Sector. Humanities and Social Sciences Communications, Vol. 11, pp. 283. (ESI Highly Cited Paper)
  24. Muhammad Farrukh Shahzad, Shuo Xu, Weng Marc Lim, Xingbing Yang, and Qasim Raza Khan, 2024. Artificial Intelligence and Social Media on Academic Performance and Mental Well-Being: Student Perceptions of Positive Impact in the Age of Smart Learning. Heliyon, Vol. 10, No. 8, pp. e29523. (ESI Highly Cited Paper)
  25. Junwan Liu, Xiaofei Guo, Shuo Xu, Yi Bu, Cassidy R. Sugimoto, Vincent Larivière, Yinglu Song, and Honghao Zhou, 2024. Understanding Super-Partnerships in Scientific Collaboration: Evidence from the Field of Economics. Journal of the Association for Information Science and Technology, Vol. 75, No. 6, pp. 717-733.
  26. Muhammad Farrukh Shahzad, Shuo Xu, Weng Marc Lim, Muhammad Faisal Hasnain, and Shahneela Nusrat, 2024. Cryptocurrency Awareness, Acceptance, and Adoption: The Role of Trust as a Cornerstone. Humanities and Social Sciences Communications, Vol. 11, pp. 4. (ESI Highly Cited Paper)
  27. Muhammad Farrukh Shahzad, Shuo Xu, Kanwal Iqbal Khan, and Muhammad Faisal Hasnain, 2023. Effect of Social Influence, Environmental Awareness and Safety Affordance on Actual Use of 5G Technologies among Chinese Students. Scientific Reports, Vol. 13, pp. 22442. (Corrigendum)
  28. Muhammad Farrukh Shahzad, Shuo Xu, Obaid ul Rehman, and Iqra Javed, 2023. Impact of Gamification on Green Consumption Behavior Integrating Technological Awareness, Motivation, Enjoyment and Virtual CSR. Scientific Reports, Vol. 13, pp. 21751.
  29. Guancan Yang, Guoxuan Lu, Shuo Xu, Liang Chen, and Yuxin Wen, 2023. Which Type of Dynamic Indicators should be Preferred to Predict Patent Commercial Potential? Technological Forecasting & Social Change, Vol. 193, pp. 122637.
  30. Junwan Liu, Xiaofei Guo, Shuo Xu, Yueyan Zhang, 2023. Quantifying the Impact of Strong Ties in International Scientific Research Collaboration. PLoS ONE, Vol. 18, No. 1, pp. e0280521.
  31. Feifei Wang, Jiaxin Dong, Wanzhao Lu, and Shuo Xu, 2023. Collaboration Prediction based on Multilayer All-Author Tripartite Citation Networks: A Case Study of Gene Editing. Journal of Informetrics, Vol. 17, No. 1, pp. 101374.
  32. Junwan Liu, Xiaofei Guo, Shuo Xu, Yinglu Song, and Kaiyue Ding, 2023. A New Interpretation of Scientific Collaboration Patterns from the Perspective of Symbiosis: An Investigation for Long-Term Collaboration in Publications. Journal of Informetrics, Vol. 17, No. 1, pp. 101372.
  33. Shuo Xu, Ling Li, and Xin An, 2023. Do Academic Inventors have Diverse Interests? Scientometrics, Vol. 128, No. 2, pp. 1023-1053. Note
  34. Zheng Wang, Shuo Xu, Yibo Wang, Xiaojiao Chai, and Liang Chen, 2023. Bureau for Rapid Annotation Tool: Collaboration can do More among Variance Annotations. Aslib Journal of Information Management, Vol. 75, No. 3, pp. 523-534.
  35. Xin An, Xin Sun, Shuo Xu, Liyuan Hao, and Jinghong Li, 2023. Important Citations Identification by Exploiting Generative Model into Discriminative Model. Journal of Information Science, Vol. 49, No. 1, pp. 107-121. Note
  36. Xin An, Xin Sun, and Shuo Xu, 2022. Important Citations Identification with Semi-Supervised Classification Model. Scientometrics, Vol. 127, No. 11, pp. 6533-6555. Note
  37. Xin An, Mengmeng Zhang, and Shuo Xu, 2022. An Active Learning based Approach for Screening Scholarly Articles about the Origins of SARS-CoV-2. PLoS ONE, Vol. 17, No. 9, pp. e0273725. Dataset
  38. Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Kai Wang, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep VG, and Zhiyong Lu, 2022. Multi-Label Classification for Biomedical Literature: An Overview of the BioCreative VII LitCovid Track for COVID-19 Literature Topic Annotations. Database, Vol. 2022, pp. baac069.
  39. Dongsheng Zhai, Liang Zhai, Mengyang Li, Xijun He, Shuo Xu, and Feifei Wang, 2022. Patent Representation Learning with a Novel Design of Patent Ontology: Case Study on PEM Patents. Technological Forecasting & Social Change, Vol. 183, pp. 121912.
  40. Liang Chen, Shuo Xu, Lijun Zhu, Jing Zhang, Guancan Yang, and Haiyun Xu, 2022. A Deep Learning based Method Benefiting from Characteristics of Patents for Semantic Relation Classification. Journal of Informetrics, Vol. 16, No. 3, pp. 101312.
  41. Liang Chen, Shuo Xu, Lijun Zhu, Jing Zhang, Haiyun Xu, and Guancan Yang, 2022. A Semantic Main Path Analysis Method to Identify Multiple Developmental Trajectories. Journal of Informetrics, Vol. 16, No. 2, pp. 101281. code
  42. Shuo Xu, Ling Li, Xin An, Liyuan Hao, and Guancan Yang, 2021. An Approach for Detecting the Commonality and Specialty between Scientific Publications and Patents. Scientometrics, Vol. 126, No. 9, pp. 7445-7475. Note
  43. Shuo Xu, Mengjia An, and Xin An, 2021. Do Scientific Publications by Editorial Board Members have Shorter Publication Delays and then Higher Influence? Scientometrics, Vol. 126, No. 8, pp. 6697-6713.
  44. Xin An, Jinghong Li, Shuo Xu, Liang Chen, and Wei Sun, 2021. An Improved Patent Similarity Measurement based on Entities and Semantic Relations. Journal of Informetrics, Vol. 15, No. 2, pp. 101135. Note
  45. Shuo Xu, Liyuan Hao, Guancan Yang, Kun Lu, and Xin An, 2021. A Topic Models based Framework for Detecting and Forecasting Emerging Technologies. Technological Forecasting and Social Change, Vol. 162, pp. 120366. Note
  46. Junwan Liu, Rui Wang, and Shuo Xu, 2021. What Academic Mobility Configurations Contribute to High Performance: An fsQCA Analysis of CSC-Funded Visiting Scholars. Scientometrics, Vol. 126, No. 2, pp. 1079-1100.
  47. Liang Chen, Shuo Xu, Lijun Zhu, Jing Zhang, Xiaoping Lei, and Guancan Yang, 2020. A Deep Learning based Method for Extracting Semantic Information from Patent Documents. Scientometrics, Vol. 125, No. 1, pp. 289-312. Dataset
  48. Shuo Xu, Liyuan Hao, Xin An, Hongshen Pang, and Ting Li, 2020. Review on Emerging Research Topics with Key-Route Main Path Analysis. Scientometrics, Vol. 122, No. 1, pp. 607-624.
  49. Shuo Xu, Liyuan Hao, Xin An, Guancan Yang, and Feifei Wang, 2019. Emerging Research Topics Detection with Multiple Machine Learning Models. Journal of Informetrics, Vol. 13, No. 4, pp. 100983. Note
  50. Shuo Xu and Xin An, 2019. ML2S-SVM: Multi-Label Least-Squares Support Vector Machine Classifiers. The Electronic Library, Vol. 37, No. 6, pp. 1040-1058. code Note
  51. Feifei Wang, Chenran Jia, Xiaohan Wang, Junwan Liu, Shuo Xu, Yang Liu, and Chenyuyan Yang, 2019. Exploring All-Author Tripartite Ciation Networks: A Case Study of Gene Editing. Journal of Informetrics, Vol. 13, No. 3, pp. 856-876.
  52. Shuo Xu, Liyuan Hao, Xin An, Dongsheng Zhai, and Hongshen Pang, 2019. Types of DOI Errors of Cited References in Web of Science with a Cleaning Method. Scientometrics, Vol. 120, No. 3, pp. 1427-1437. S1, S2, and S3 code
  53. Shuo Xu, Dongsheng Zhai, Feifei Wang, Xin An, Hongshen Pang, and Yirong Sun, 2019. A Novel Method for Topic Linkages between Scientific Publications and Patents. Journal of the Association for Information Science and Technology, Vol. 70, No. 9, pp. 1026-1042. Note
  54. Xin An, Yali Wen, Yaoqi Zhang, and Shuo Xu, 2019. Evaluation of the Forestry and Environmental Conservation Policies in Western China with Multi-Output Regression Method. Computers and Electronics in Agriculture, Vol. 157, pp. 239-246.
  55. Zheng Wang, Shuo Xu, and Lijun Zhu, 2018. Semantic Relation Extraction Aware of N-Gram Features from Unstructured Biomedical Text. Journal of Biomedical Informatics, Vol. 86, pp. 59-70. Note
  56. Shuo Xu, Junwan Liu, Dongsheng Zhai, Xin An, Zheng Wang, and Hongshen Pang, 2018. Overlapping Thematic Structures Extraction with Mixed-Membership Stochastic Blockmodel. Scientometrics, Vol. 117, No. 1, pp. 61-84. Note Results
  57. Shuo Xu, 2018. Bayesian Naïve Bayes Classifiers to Text Classification. Journal of Information Science, Vol. 44, No. 1, pp. 48-59. code
  58. Hongqi Han, Changqing Yao, Yuan Fu, Yongsheng Yu, Yunliang Zhang, and Shuo Xu, 2017. Semantic Fingerprints-based Author Name Disambiguation in Chinese Documents. Scientometrics, Vol. 111, No. 3, pp. 1879-1896.
  59. Shuo Xu, Xiaodong Qiao, Lijun Zhu, Yunliang Zhang, Chunxiang Xue, and Lin Li, 2016. Reviews on Determining the Number of Clusters. Applied Mathematics & Information Sciences, Vol. 10, No. 4, pp. 1493-1520.
  60. Shuo Xu, Xin An, Lijun Zhu, Yunliang Zhang, and Haodong Zhang, 2015. A CRF-based System for Recognizing Chemical Entity Mentions (CEMs) in Biomedical Literature. Journal of Cheminformatics, Vol. 7, No. Suppl 1, pp. S11.
  61. Shuo Xu, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Han Zhang, Hanmin Jung, Seungwoo Lee, and Sung-Pil Choi, 2014. A Dynamic Users' Interest Discovery Model with Distributed Inference Algorithm. International Journal of Distributed Sensor Networks, Vol. 2014, pp. 1-11. code
  62. Shuo Xu, Xin An, Xiaodong Qiao, and Lijun Zhu, 2014. Multi-Task Least-Squares Support Vector Machines. Multimedia Tools and Applications, Vol. 71, No. 2, pp. 699-715.code
  63. Shuo Xu, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2013. Multi-Output Least-Squares Support Vector Regression Machines. Pattern Recognition Letters, Vol. 34, No. 9, pp. 1078-1084. code
  64. Xin An, Shuo Xu, Yali Wen, and Mingxing Hu, 2014. A Shared Interest Discovery Model for Coauthor Relationship in SNS. International Journal of Distributed Sensor Networks, Vol. 2014, pp. 820715. code
  65. Shan Gao, Shuo Xu, Yaping Fang, and Jianwen Fang, 2013. Prediction of Core Cancer Genes using Multi-Task Classification Framework. Journal of Theoretical Biology, Vol. 317, No. 21, pp. 62-70.
  66. Shuo Xu, Xiaodong Qiao, Lijun Zhu, Yunliang Zhang, and Lin Li, 2012. Fast but Not Bad Initial Configuration for Metric Multidimensional Scaling. Journal of Information & Computational Science, Vol. 9, No. 2, pp. 257-265.
  67. Shan Gao, Shuo Xu, Yaping Fang, and Jianwen Fang, 2012. Using Multitask Classification Methods to Investigate the Kinase-Specific Phosphorylation Sites. Proteome Science, Vol. 10, No. Suppl. 1, pp. S7.
  68. Shuo Xu, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2011. Semi-Supervised Least Squares Support Vector Regression Machines. Journal of Information & Computational Science, Vol. 8, No. 6, pp. 885-892.
  69. Shuo Xu, Xiaodong Qiao, Lijun Zhu, and Huixia Zheng, 2010. Deep Analysis on Mining Frequent & Maximal Reference Sequences with Generalized Suffix Tree. Journal of Computational Information Systems, Vol. 6, No. 7, pp. 2187-2197.
  70. 安欣，杨禄鑫，徐硕，刘迪航，2025. 融合多源数据的“双碳”颠覆性技术识别助力林业自主控碳转型. 北京林业大学学报.
  71. 周海晨，章成志，徐硕，毛进，巴志超，张颖怡，2025. 知识创新视角下全文本计量分析应用与思考——2024全文本文献计量分析沙龙综述. 科技情报研究，Vol. 7，No. 4，pp. 82-90.
  72. 徐硕，张跃富，安欣，2025. 全领域多层级科学−技术分类体系映射研究. 情报学报，Vol. 44，No. 8，pp. 933-949.
  73. 刘维，安欣，闫鹏飞，徐硕，2024. 基于Neo4j的我国信创产业图谱构建研究. 科技管理研究.
  74. 徐硕，马心怡，安欣，2024. 基于对比学习模型的北京独角兽企业关键特征画像分析. 科技管理研究, Vol. 44, No. 17, pp. 102-110.
  75. 周海晨，章成志，胡志刚，徐硕，毛进，陈亮，2024. 大模型时代全文计量分析的应用与思考 ：2023全文本文献计量分析学术沙龙综述. 信息资源管理学报，Vol. 14，No. 2，pp. 162-168.
  76. 徐硕，孙童菲，罗贵缘，苑洲桐，连佳欣，刘畅，2024. 分类体系双向映射视角下的科学-技术互动分析. 中国发明与专利，Vol. 21，No. 4，pp. 4-15.
  77. 安欣，刘迪航，徐硕，2024. “双碳”领域颠覆性技术度量与识别：基于多源数据融合方法. 科技进步与对策, Vol. 41, No. 17, pp. 1-11.
  78. 徐硕，李静鸿，安欣，2024. 基于专利术语的颠覆性技术识别及实证研究. 图书情报工作，Vol. 68，No. 2，pp. 62-72. code & dataset
  79. 刘俊婉，庞博，徐硕，2023. 基于弱信号的颠覆性技术早期识别研究. 情报学报，Vol. 42，No. 12，pp. 1385-1411.
  80. 许海云，王超，陈亮，徐硕，杨冠灿，朱礼军，2023. 颠覆性技术的科学-技术-产业互动模式识别与分析. 情报学报，Vol. 42, No. 7, pp. 816-831.
  81. 周海晨，章成志，胡志刚，徐硕，杨思洛，李恺，2023. 全文本计量分析的实践与展望：理论、方法与应用——2022全文本文献计量分析学术沙龙综述. 信息资源管理学报, Vol. 13, No. 2, pp. 135-142.
  82. 徐硕，张萌萌，柳力元，王聪聪，孙睿，李怡琳，徐金楠，安欣，2023. 新冠领域溯源类论文筛选及全文实体标注研究. 农业图书情报学报, Vol. 35, No. 1, pp. 87-98.
  83. 徐硕，王聪聪，安欣，2023. 新兴技术弱信号扫描预判述评. 情报杂志, Vol. 42, No. 3, pp. 117-122.
  84. 翟东升，阚慧敏，李梦洋，徐硕，陈蒙蒙, 2022. 产业链视角下基于图嵌入的专利布局意图挖掘方法研究. 情报学报, Vol. 41, No. 5, pp. 437-450.
  85. 翟东升，金苑苑，黄怡，何喜军，徐硕，胡涵清，2022. 寻租偏好视角下的标准化参会企业专利策略博弈研究. 运筹与管理, Vol. 31, No 9, pp. 34-40.
  86. 杨冠灿，丁月，徐硕，卢小宾，2022. 基于专利动态指标的新兴技术预测建模方法——以癌症药物领域为例. 情报学报，Vol. 41, No. 8, pp. 786-795.
  87. 翟东升，金苑苑，徐硕，何喜军，胡涵清，甄枊林，2022. 基于语义特征的潜在标准必要专利识别研究. 科研管理, Vol. 43, No. 3, pp. 183-191.
  88. 翟东升，李梦洋，何喜军，徐硕，2021. 非线性技术演化条件下的专利研发投资决策研究. 中国管理科学，Vol. 29, No. 12, pp. 168-178.
  89. 翟东升，陈曾曾，徐硕，马自飞，2021. 基于实物期权的专利组合估值方法研究. 情报杂志, Vol. 40, No. 6, pp. 200-207.
  90. 徐硕，郝丽媛，安欣，2021. 基于药物专利信息资源的新兴技术探测研究. 中国发明与专利，Vol. 18，No. 6，pp. 14-23.
  91. 王菲菲，王筱涵，徐硕，芦婉昭，宋艳辉，2021. 基于三级引文关联网络的潜在知识流动探测——以基因编辑领域为例. 情报学报，Vol. 40，No. 2，pp. 184-193.
  92. 安欣，徐硕，叶书路，柳力元，2021. 面向全文本的微观实体抽取及扩散研究. 图书馆论坛, Vol. 41, No. 3, pp. 42-49.
  93. 卢小宾，杨冠灿，徐硕，张杨燚, 2020. 计量与演化视角下的新兴技术识别研究进展评述. 情报学报，Vol. 39, No. 6, pp. 651-661.
  94. 章成志，胡志刚，徐硕，汪雪锋，师庆辉，王巍，钱佳，罗卓然，2020. 全文本分析理论与技术的新进展与新探索——2019全文本文献计量分析学术沙龙综述. 信息资源管理学报, Vol. 10, No. 1, pp. 111-117.
  95. 安欣，徐硕, 2019. 基于主题N元语法模型的科技报告主题分析. 农业图书情报, Vol. 31, No. 6, pp. 21-30.
  96. 刘俊婉, 杨波, 王菲菲, 徐硕, 2018. 基于LDA主题模型的学术谱系内知识传承研究——以谈家桢为核心的遗传学学术谱系为例. 图书情报工作, Vol. 62, No. 10, pp. 76-84.
  97. 张晗, 徐硕, 乔晓东, 2014. 融合科技文献内外部特征的主题模型发展综述. 情报学报, Vol. 33, No. 10, pp. 1108-1120.
  98. 史庆伟, 乔晓东, 徐硕, 农国武, 2013. 作者主题演化模型及其在研究兴趣演化分析中的应用. 情报学报, Vol. 32, No. 9, pp. 912-919. codes
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zh/outputs/papers.1761867912.txt.gz · 最后更改: 2025/10/31 07:45 由 pzczxs

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