Dr. Meijun Liu is an Associate Professor at the Institute for Global Public Policy, Fudan University. Her research explores the dynamics of scientific progress through the lenses of Scientometrics, Science of Science, Science & Technology Policy, and Global Governance of Science & Technology. Her work has appeared in top-tier journals such as the Journal of the Association for Information Science and Technology (JASIST), Information Processing & Management (IP&M), Journal of Informetrics, and Quantitative Science Studies. She actively contributes to the academic community as an Associate Editor for Quality & Quantity and an Editorial Board Member for Information Processing & Management (JCR Q1). She has received both the Shanghai Pujiang Talent Program award and Fudan University's ‘Zhuoxue Outstanding Scholar’ recognition. She leads two national-level and five ministerial-level research projects, driving innovation in science policy and knowledge governance.

Research interests

Scientometrics, Science of Science, Science & Technology Policy, Global Governance of Science & Technology

Academic positions

• Associate Professor, Fudan University (2024.12–Present)

• Assistant Professor, Fudan University (2020.11–2024.11)

• Lecturer (Part-time), The University of Hong Kong (2020.09-2020.11)

• Visiting Scholar: Northwestern University (2019), Harvard University & NBER (2017–2018)

Education Experiences

• 2016-2020, Ph.D. in Information Science, The University of Hong Kong

• 2011-2025, B.A. in Management, Sichuan University

Academic Contributions

• Scientific Team Dynamics & Knowledge Innovation
  Investigated how diversity shapes team evolution, interdisciplinary integration, and disruptive knowledge production.
  Revealed mechanisms by which global crises impact scientific collaboration.

• AI-Driven Scientometrics
  Applied deep learning models to quantify novelty in scientific literature, tracing innovation diffusion pathways.

• Global Mobility of STEM Talent
  Analyzed drivers of talent flows (policy, networks, human capital) and their effects on research output using causal inference and network analysis.

Teaching

• Emerging Technologies & Global Governance of Science and Technology

• Science & Technology Policy & Innovation Management

• Practical Research Methods in Public Policy

• Social Research Methods

Academic Papers

Selected Publications

• Liu, M., Zhang, N., Hu, X., Jaiswal, A., Xu, J., Chen, H., ... & Bu, Y. (2022). Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature. Journal of informetrics, 16(2), 101295.

• 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.  

• Liu, M., Bu, Y., Chen, C., Xu, J., Li, D., Leng, Y., ... & Ding, Y. (2022). Pandemics are catalysts of scientific novelty: Evidence from COVID‐19. Journal of the Association for Information Science and Technology, 73(8), 1065-1078.  

• Liu, M* ., Xie, Z., Yang, A. J., Yu, C., Xu, J., Ding, Y., & Bu, Y. (2024). The prominent and heterogeneous gender disparities in scientific novelty: Evidence from biomedical doctoral theses. Information Processing & Management, 61(4),103743.

• Liu, M., Yang, S., Bu, Y., & Zhang, N. (2023). Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses. Humanities and Social Sciences Communications, 10(1), 1-16.

• Liu, M., & Hu, X. (2021). Will collaborators make scientists move? A generalized propensity score analysis. Journal of Informetrics, 15(1), 101113.

• Liu, M., & Hu, X. (2022). Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration. Journal of Informetrics, 16(3), 101311.

• Liu M, Hu X, Schedl M. (2018).The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study[J]. PloS one, 13(12): e0208186.

• Liu M, Hu X, Wang Y, et al. (2018) Survive or perish: Investigating the life cycle of academic journals from 1950 to 2013 using survival analysis methods[J]. Journal of Informetrics, 12(1): 344-364.

• Liu M, Shi D, Li J. (2017). Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China[J]. PloS one, 12(9): e0184977.

• Wang Y, Hu R, Liu M*. (2017).The geotemporal demographics of academic journals from 1950 to 2013 according to Ulrich’s database[J]. Journal of Informetrics, 11(3): 655-671.

Professional Activities

Academic Appointments

• Associate Editor, Quality & Quantity 

• Editorial Board Member, Information Processing & Management (Top-tier journal in information resources management)

• Committee Member, International Cooperation Division, China Society for Scientific and Technical Information(CSSTI)

• Chair (2022-2023), Special Interest Group on Scientific & Technical Information, Association for Information Science & Technology (ASIS&T)

• Program Director, Fudan-LSE Double Master's Degree in 'Global Social Policy'

• Committee Member, Metascience Division, Beijing Society for Scientific and Technical Information

• Research Fellow, National Laboratory for Development and Intelligent Governance, Fudan University

• Research Fellow, Shanghai Research Center for Science Innovation and Public Governance

Peer Review Activities

• Served as anonymous reviewer for:
  Processing & Management, Journal of Informetrics, Scientometrics, Quantitative Science Studies, Humanities & Social Sciences Communications, Research Policy, Technological Forecasting & Social Change, Technovation, PLOS One, Journal of the China Society for Scientific and Technical Information