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陈虹枢

陈虹枢

 

陈虹枢,硕士生导师,北京理工大学管理与经济学院管理科学与物流系助理教授、特别副研究员。2015年于北京理工大学获得管理学博士学位,2016年于悉尼科技大学获得软件工程博士学位,曾任悉尼科技大学工程与信息学院科研助理及助教。主要研究方向为科技文本挖掘与知识发现、技术评价与创新管理,重点关注信息多源、主体异质的科学研究活动进行关系挖掘、机制分析及机会发现的新问题与新挑战。

目前已在IEEE Transactions on Cybernetics, Technological Forecasting and Social Change, Scientometrics, IEEE Transactions on Engineering Management等国际期刊,以及波特兰工程与技术管理国际会议(PICMET)等领域内代表性国际会议中发表学术论文20余篇(含ESI高被引1篇),并担任包括RP, SCIM, TF&SC, TECHIS, TEM, JDS, KBS在内的多个SCI/SSCI国际期刊的论文评阅人,主持及参与多项国家自然科学基金项目。

近期研究兴趣为融合机器学习的科学计量、基于复杂网络的科技数据建模及分析、以及大规模科技文本处理,所指导硕士毕业生曾获校级优秀毕业生等荣誉称号,欢迎对知识管理与创新管理方向感兴趣的同学联系攻读硕士研究生。


部分论文:

[1] CHEN, H., SONG, X., JIN, Q. & WANG, X. 2022. Network Dynamics in University-industry Collaboration: A Collaboration-knowledge Dual-layer Network Perspective. Scientometrics, In Press. (SCI/SSCI, 3.238)

[2] CHEN, H., JIN, Q., WANG, X. & XIONG, F. 2022. Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research. Technological Forecasting and Social Change, 175, 121402. (SSCI, 8.593)

[3] JIN, Q., CHEN, H.*, WANG, X., MA, T. & XIONG, F. 2022. Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data. Scientometrics, In press. (一作为所指导研究生,SCI/SSCI, 3.238)

[4] CHEN, H., WANG, X., PAN, S. & XIONG, F. 2021. Identify Topic Relations in Scientific Literature Using Topic Modeling. IEEE Transactions on Engineering Management, 68, 1232-1244. (SCI, 6.146)

[5] XIONG, F., SHEN, W., CHEN, H.*, PAN, S., WANG, X. & YAN, Z. 2020. Exploiting Implicit Influence From Information Propagation for Social Recommendation. IEEE Transactions on Cybernetics, 50, 4186-4199. (SCI,11.448)

[6]Zhang, Y.,Lu, J., Liu, F., Liu, Q., Porter, A., Chen, H.*, Zhang, G. 2018. Does deep learning help topic extraction? A kernel k-means clustering method with word embedding, Journal of Informetrics, 12(4), 1099-1117. (SCI,5.107)

[7]Chen, H., Zhang, G., Zhu, D., Lu, J. 2017. Topic-based technological forecasting based on patent data: A case study of Australian patents from 2000 to 2014. Technological Forecasting and Social Change, 119, 39-52. (SSCI, 8.593)

[8]Zhang, Y., Chen, H.*, Lu, J., Zhang, G. (2017). Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowledge-Based Systems, 133, 255-268. (SCI,8.038)

[9] CHEN, H., SONG, X. 2021, Collaboration and knowledge networks: A framework on analyzing evolution of university-industry collaborative innovation. Proceedings of the 1st Workshop on AI + Informetrics,AII2021;2871,33-46 (EI会议)

[10] Chen, H., Song, Y., Wang, X., Wang, X., Wang, X., Yu, M. 2019. Research Topic Recommendation based on Latent Dirichlet Allocation. 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 14-16 Nov. 2019 2019. 637-643 (EI会议)


部分科研项目

1. 国家自然科学基金青年基金项目,多源异质网络视角下产学研合作产生机理及潜在机会发现研究,在研,主持

2. 国家自然科学基金专项项目, 国家杰出青年科学基金资助成效及科技人才计划总体情况跟踪分析(2019-2020),主持

3. 国家自然科学基金, “卡脖子”关键核心技术领域的创新能力与形势研判分析(2019-2020),核心成员


联系方式

北京市海淀区中关村南大街5号北京理工大学管理与经济学院,100081

电话:010-68918492

邮箱: hongshu.chen@bit.edu.cn


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