Hongshu Chen

 

Dr Hongshu Chen is currently an Associative Professor with the School of Management, Beijing Institute of Technology, China. She received dual PhD degrees, the first one in management science and engineering from Beijing Institute of Technology, China, and the second one in software engineering from the University of Technology Sydney, Australia. Her research focuses on Scientometrics, Science and Technology Management, Science and Technology Policies, Scientific Text Mining and Knowledge Discovery. She has published more than 30 papers in refereed journals, conference proceedings and book chapters in the fields of Scientometrics and data analytics, e.g., Technological Forecasting and Social Change, IEEE Transactions on Cybernetics, Scientometrics, Knowledge-based Systems and IEEE Transactions on Engineering Management.

Research Interests

● Scientometrics, Informetrics

● Science and Technology Management, Innovation Management

● Complex Networks, Scholarly Big Data

● Scientific Text Mining and Analytics 

● AI4Science

● Science and Technology Policies

Selected Publications

[1] Zhang, W., Wang, X.*, Chen, H., Liu, J. 2024. The impact of early debut on scientists: Evidence from the Young Scientists Fund of the NSFC. Research Policy, 53(2), 104935. (SSCI, FT 50, FMS A)

[2] Jin, Q., Chen, H.*, Wang, X., Xiong, F. 2024. How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents. Journal of Informetrics, 2024, 18(4): 101553. (SCI/SSCI, FMS B, JCR Q1)

[3] Jin, Q., Chen, H.*, Zhang, Y., Wang, X., Zhu, D. 2024. Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis. IEEE Transactions on Engineering Management, 71: 8964-8978. (一作为所指导学生，SCI/SSCI, FMS A, JCR Q1)

[4] 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, FMS B, JCR Q1)

[5] CHEN, H., SONG, X., JIN, Q. & WANG, X. 2022. Network Dynamics in University-industry Collaboration: A Collaboration-knowledge Dual-layer Network Perspective. Scientometrics, 127(11), 6637-6660. (SCI/SSCI, FMS B, JCR Q1)

[6] 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, 127(9), 5415-5440. (一作为所指导学生，SCI/SSCI, FMS B, JCR Q1)

[7] 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/SSCI, FMS A, JCR Q1)

[8] 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, FMS B, JCR Q1)

[9] 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, FMS B, JCR Q1)

[10] 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, JCR Q1)

[11] CHEN, H., ZHANG, Y., JIN, Q. & WANG, X. 2022. Exploring Patterns of Academic-Industrial Collaboration for Digital Transformation Research: A Bibliometric-Enhanced Topic Modeling Method. 2022 Portland International Conference on Management of Engineering and Technology (PICMET), 2022 August 7 - August 11, Portland, OR, United states. (EI)

[12] 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)

[13] 刘景康,陈虹枢*,金茜茜,等.科研合作网络演化机制研究：以光刻领域为例[J/OL].科学学研究,1-23. (封面文章，一作为所指导学生，CSSCI)

[14] 金茜茜,陈虹枢*,汪雪锋.融合社会资本与知识存量的合作创新网络演化机制研究[J].图书情报工作,2024,68(06):93-103. (一作为所指导学生，CSSCI)

[15]陈虹枢, 宋亚慧, 金茜茜, 汪雪锋. 动态主题网络视角下的突破性创新主题识别:以区块链领域为例[J], 图书情报工作, 2022, 66(10): 45-58. (CSSCI)

Contact information

Add: 5 South Zhongguancun Street, Haidian District, Beijing 100081, P.R.China

Tel: 010-68918492

Email: hongshu.chen[at]bit.edu.cn