Dr Hongshu Chen is currently an Assistant Professor with the School of Management and Economics, 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 bibliometrics, scientific text mining and knowledge discovery. She has published more than 20 papers in refereed journals, conference proceedings and book chapters in the fields of bibliometrics 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

·     Bibliometrics, Scientometrics

·     Topic Modeling, Text Mining and Analytics

·     Complex Network for Scientific Literature Analysis

·     Innovation Management, Technology Forecasting & Assessment

Selected Publications

[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. (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)

[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)

Contact information

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

Tel: 010-68918492

Email: hongshu.chen@bit.edu.cn