English journal articles
15. Wu, X. K., Gu, G., Xie, T. T., Zhao, T. F., & Min, C. (2024). Unveiling evolving nationalistic discourses on social media: a cross-year analysis in pandemic. Humanities and Social Sciences Communications, 11(1), 1-12
14. Wu, D., Min, C.#, Li, Z., & Wang, Y. (2023). Vigilance and habituation: Polymorphic experience effects in internet users’ privacy disclosure decisions. Decision Support Systems, 170, 113961.
13. Liu, M., Jaiswal, A., Bu, Y., Min, C., Yang, S., Liu, Z., … & Ding, Y. (2022). Team formation and team impact: The balance between team freshness and repeat collaboration. Journal of Informetrics, 16(4), 101337.
12. Min, C., Bu, Y., & Sun, J. (2021). Predicting Scientific Breakthroughs Based on Knowledge Structure Variations. Technological Forecasting & Social Change, 164, 120502.
11. Min, C., Bu, Y., Wu, D., Ding, Y., & Zhang, Y. (2021) Identifying citation patterns of scientific breakthroughs: A perspective of dynamic citation process. Information Processing & Management, 58(1), 102428.
10. Min, C., Chen, Q, Yan, E, Bu, Y, Sun, J. (2021). Citation cascade and the evolution of topic relevance. Journal of the Association for Information Science and Technology, 1– 18.
9. Min, C., Ding, Y., Li, J., Bu, Y., Pei, L., & Sun, J. (2018). Innovation or imitation: The diffusion of citations. Journal of the Association for Information Science and Technology, 69(10), 1271-1282.
8. Min, C., Sun, J., Pei, L., & Ding, Y. (2016). Measuring delayed recognition for papers: Uneven weighted summation and total citations. Journal of Informetrics, 10(4), 1153-1165.
7. Sun, J., Min, C., & Li, J. (2016). A vector for measuring obsolescence of scientific articles. Scientometrics, 107(2), 745-757.
6. Yu, Q., Wang, Q., Zhang, Y., Chen, C., Ryu, H., Park, N., …, Min, C., … & Bu, Y. (2021). Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics, 126(5), 4491-4509.
5. Liu, M., Bu, Y., Chen, C., Xu, J., Li, D., Leng, Y., …, Min, C., … & Ding, Y. (2021). Pandemics are catalysts of scientific novelty: Evidence from COVID‐19. Journal of the Association for Information Science and Technology.
4. Wu, M., Kozanoglu, D. C., Min, C., & Zhang, Y. (2021). Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence. Advanced Engineering Informatics, 50, 101368.
3. Zhao, Z., Bu, Y., Kang, L., Min, C., Bian, Y., Tang, L., & Li, J. (2020). An investigation of the relationship between scientists’ mobility to/from China and their research performance. Journal of Informetrics, 14(2), 101037.
2. Zhao, L., & Min, C. (2019). The Rise of Fashion Informatics: A Case of Data-Mining-Based Social Network Analysis in Fashion. Clothing and Textiles Research Journal, 37(2), 87-102.
1. Sun, J., Sheng, D., Gu, D., Du, J. T., & Min, C. (2017). Understanding link sharing tools continuance behavior in social media. Online Information Review, 41(1), 119-133.
Chinese journal articles
36. 闵超,林昊天,龚辰皎,柯庆,高继平,李铭禄.基础研究对生物医药企业科学产出的贡献研究——单篇论文属性划分视角[J].情报学报,2024,43(02):140-153.
35. 龚辰皎,闵超#,赵毅.基础研究对科学突破的影响——以生物医药企业为例[J/OL].科学学研究,1-21.
34. 柳美君,杨杰,杨斯杰,闵超#.中国与“一带一路”沿线国家的科技人才流动研究[J/OL].科学学研究,1-30.
33. 闵超#,刘嘉明,严笑然.产学研合作对人工智能企业技术创新的影响[J].中国发明与专利,2023,20(07):5-15.
32. 王骞敏,鄢春根,闵超.融合多层异构网络链路预测的产学研专利合作关系挖掘[J].现代情报,2023,43(05):54-65.
31. 张靖雯,闵超#.引文扩散视角下论文学术影响力和社会影响力比较研究——以生物医学为例[J].情报学报,2023,42(01):31-42.
30. 秦宇远,张雯,闵超.区域协调战略背景下重点区域军民融合发展评估与对策研究[J].现代情报,2022,42(09):103-113.
29. 吴志祥,何超,赵凯蕊,闵超,王昊.基于主题词分布测度的学者知识累积行为研究[J].情报理论与实践,2022,45(07):140-147.
28. 韩旭,闵超#,张靖雯.基于多维特征的引文扩散模式预测研究[J].图书情报工作,2022,66(09):82-92.
27. 何婕君, 闵超#. 引文持续增长型论文特征和影响因素研究[J].图书情报工作: 1-10[2022-05-21]. DOI:10.13266/j.issn.0252-3116.2022.07.011.
26. 张靖雯, 闵超, 孙建军. 我国人文社会科学文献引文起飞分布规律探究[J].情报学报(国家自科基金委管理学部认定的管理类A类期刊),2022,41(04):325-336.
25. 刘嘉明, 闵超#, & 严笑然. (2022). 合作网络和知识网络对AI企业专利创新的影响. 图书馆论坛, 网络首发
24. 周云泽, 闵超#. 基于LDA模型与共享语义空间的新兴技术识别——以自动驾驶汽车为例[J]. 数据分析与知识发现,2021,网络首发.
23. 侯玥然, 闵超#. 基于引文网络的知识基因扩散研究[J].情报科学,2021, 39, 361(09): 42-49+66.
22. 高伊林, & 闵超#. (2021). 中美对一带一路地区技术扩散结构比较研究. 数据分析与知识发现, 1-22.
21. 李凌英,闵超#,严笑然.引文动态如何变化:文献内容特征的作用研究[J].情报学报(国家自科基金委管理学部认定的管理类A类期刊), 2021,40(10):1065-1078.
20. 吴柯烨,闵超,孙建军,权昭瑄. 面向特定科研任务的著者姓名消歧方法[J].情报学报(国家自科基金委管理学部认定的管理类A类期刊), 2021,40(07):734-744.
19. 高伊林, & 闵超#. (2021). 中美对“一带一路”沿线技术扩散结构比较研究[J].数据分析与知识发现,2021,5(06):80-92.
18. 皮耶特·弗朗索瓦, J.G.曼宁, 哈维·怀特豪斯, 罗布·布伦南, 托马斯·柯里, 凯文·费尼, 彼得·特钦, & 闵超. (2020). 全球史的宏观显微镜: Seshat全球史数据库的方法论梳理. 全球史评论, 2020(02), 42-61+305-306.
17. 赵英男, 王欣, 王全胜, 闵超, & 陈晓威. (2020). 默认好评对消费者购买行为的影响. 管理科学(国家自科基金委管理学部认定的管理类A类期刊), 33(4), 137-148.
16. 颜嘉麒, 闵超#, 余厚强, 魏家鹏, 贾韬, & 马建. (2020). 科学大数据背景下的科研协作:特征、案例与机遇. 图书与情报(人大复印资料全文转载), (3), 127-133.
15. 闵超#, 张帅, 孙建军. (2020). 科学文献网络中的引文扩散——以2011年诺贝尔化学奖获奖论文为例. 情报学报(国家自科基金委管理学部认定的管理类A类期刊, 南大文科一流期刊), 39(3), 259-273.
14. 陆天驰, 闵超#,高伊林, & 李阳 (2019). 竞争情报视角下的中美人工智能技术领域差距分析——以美国商品管制清单为例. 情报杂志.
13. 高伊林, & 闵超#. (2019). 中美与 “一带一路” 沿线国家专利合作态势分析. 图书情报知识, (4), 94-103.
12. 张靖雯, 孙建军, & 闵超. (2019). 引文起飞的定义与量化方法研究. 情报学报(国家自科基金委管理学部认定的管理类A类期刊, 南大文科一流期刊), 38(8), 786-797.
11. 李凌英, 闵超#, & 孙建军. (2019). 引文波峰的量化与分布探究. 情报学报(国家自科基金委管理学部认定的管理类A类期刊, 南大文科一流期刊), 38(7), 697-708.
10. 黄文彬, 王冰璐, 步一, & 闵超. (2018). 关键词共引分析的科学计量方法研究. 情报资料工作, 221(02), 39-44.
9. 仇鹏飞, 孙建军, & 闵超. (2018). 科学研究中的师承关系评述与思考. 图书与情报, 183(05), 56-61+124.
8. 闵超, Ying Ding, 李江, & 孙建军. (2018). 单篇论著的引文扩散. 情报学报(国家自科基金委管理学部认定的管理类A类期刊, 南大文科一流期刊, 人大复印资料全文转载), 37(4), 341-350.
7. 闵超, 步一, & 孙建军. (2017). 基于专利大数据的中国国际专利技术流动分析. 图书与情报, 37(05), 33-39.
6. 闵超, & 孙建军. (2016). 美国政府科技报告网络服务新进展. 情报资料工作, 37(1), 80-86.
5. 闵超, 石佳靓, & 孙建军. (2015). 新闻出版业大数据应用新业态分析. 中国出版, (15), 65-68.
4. 闵超, 赵宇翔, & 孙建军. (2015). 国外灰色文献领域研究态势分析——基于自组织映射的文本挖掘方法. 情报学报(国家自科基金委管理学部认定的管理类A类期刊,南大文科一流期刊), 34(10), 1111-1120.
3. 闵超, & 孙建军. (2014). 基于关键词交集的学科交叉研究热点分析—以图书情报学和新闻传播学为例. 情报杂志, 33(5), 76-82.
2. 闵超, & 孙建军. (2014). 中文网络灰色文献分布探析——基于 Google Scholar 的样本分析. 图书情报工作, 58(24), 73-79.
1. 闵超, & 孙建军. (2014). 学科交叉研究热点聚类分析——以国内图书情报学和新闻传播学为例. 图书情报工作, 58(01), 109-116.
Conference papers & presentations
11. Min, C., Gong, C., Lin, H., Ke, Q., Gao, J., & Li, M. (2023). Quantifying biomedical firms’ basic research. The 9th Atlanta Conference on Science and Innovation Policy, May 24-26, 2023, Atlanta, Georgia, U.S.A.
10. Min, C., Xu, J., Han, T., & Bu, Y. (2021). References of references: How far is the knowledge ancestry? In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2021), September 27-31, 2021, Champaign, Illinois, U.S.A.
9. Xu, J., Min, C., Huang, W., & Bu, Y. (2021). Interdisciplinarity vs. Unidisciplinarity: A Structural Comparison of Multi-generation Citations and References. Proceedings of 18th International Society of Scientometrics and Informetrics Conference. 2021.
8. Min, C., Bu, Y., & Sun, J. (2019). Comparing Breakthrough and Non-Breakthrough Papers from Early Citing Structures. Proceedings of 17th International Society of Scientometrics and Informetrics Conference. Rome,Italy, 2019.
7. Zhao, Z., Li, J., Min, C., Bu, Y., Kang, L., & Bian, Y. (2019). Scientists’ academic disruptiveness significantly increased after they moved to China. Proceedings of the Association for Information Science and Technology, 56(1), 852-854. Melbourne, Australia, 2019.
6. Zhao, Y., Min, C., Han, X., Deng, S., Wang, H., & Li, J. (2019). Listening to the user’s voice: A temporal analysis of autism‐related questions on Quora. Proceedings of the Association for Information Science and Technology, 56(1), 513-516. Melbourne, Australia, 2019.
5. Min, C., Wang, Y., Bu, Y., Kang, L., Sun, J., & Li, J. (2019). Why are some studies more popular in social media?. iConference 2019 Proceedings. Washington DC, USA, 2019.
4. Min, C., Bu, Y., Sun, J., & Ding, Y. (2018). Is scientific novelty reflected in citation patterns?. Proceedings of the Association for Information Science and Technology, 55(1), 875-876. Vancouver, Canada, 2018.
3. Min, C., Sun, J., & Ding, Y. (2017). Quantifying the evolution of citation cascades. Proceedings of the Association for Information Science and Technology, 54(1), 761-763. Washington DC, USA, 2017.
2. Min, C., & Sun, J. (2016). A new perspective to measure delayed recognition in a simple way. iConference 2016 Proceedings. Philadelphia, USA, 2016.
1. Sun, J., Li, J. & Min, C. (2015). A vector for measuring obsolescence of scientific articles. Proceedings of 15th International Society of Scientometrics and Informetrics Conference. Istanbul,Turkey, 2015.
Others
Chen, M., & Min, C. (2017). Visualizing the knowledge of Voluntary and Nonprofit Sector Research: Panorama and Foundation.