Office: Room 805C, West Sub-building of Guanghua Towers
Meijun Liu is an assistant professor at Institute for Global Public Policy, Fudan University. She received her Ph.D. degree in Information Science from the University of Hong Kong. She serves as the associate editor of Quality & Quantity, the program director of LSE-Fudan Double Master’s Degree Program in Global Social Policy, and was awarded Shanghai Pujiang Talent Program Award, and was elected as chair-elect of ASIS&T SIG-STI (Special Interest Group – Scientific and Technical Information). Before joining Fudan, she was a research fellow at the Department of Economics, Harvard University, National Bureau of Economic Research and the Kellogg School of Management, Northwestern University.
Her research areas include science of science, informetrics and S&T policy. She aims to understand whether and how scientific collaboration and mobility influence research output, team performance and regional innovation. Her research is based on big data analytics, advanced econometrics and data mining techniques. She has been leading projects supported by the National Natural Science Foundation and Science and Technology Commission of Shanghai Municipality. Meijun’s research is published in high-quality international academic journals in information science, such as JASIST, Journal of Informetrics, Journal of Information Science, PloS one and Learned Publishing. Her studies were featured on Nature and the Atlantic.
Science of science, informetrics, science & technology policy
2020.11 – present, Assistant Professor, Institute for Global Public Policy, Fudan University
2020.09-2020.11, Lecture, Education Faculty, the University of Hong Kong
2020.01-2020.06, Visiting Scholar, California University (Merced)
2019.01-2019.08, Visiting Scholar, Department of Management and Organization, Northwestern University
2019.01-2019.08, Visiting Scholar, Northwestern Institute on Complex Systems (NICO), Northwestern University
2017.09-2018.08, Faculty Associate, Department of Economics, Harvard University
2017.09-2018.08, Visiting Scholar, National Bureau of Economic Research (NBER)
2016-2020，Ph.D in Information Science，the University of Hong Kong
2015-2016，Master student in Information Science，Zhejiang University
2011-2015, B.A. in Archive Science, Sichuan University
Liu, M., Bu, Y., Chen, C., Xu, J., Li, D., Leng, Y., Freeman, R. B., Meyer, E. T., Yoon, W., Sung, M., Jeong, M., Lee, J., Kang, J., Min, C., Song, M., Zhai, Y., & Ding, Y. (2021). Pandemics are catalysts of scientific novelty: Evidence from COVID-19. Journal of the Association for Information Science and Technology, 1– 14. https://doi.org/10.1002/asi.24612 （featured on Nature and The Atlantic.）
Liu, M., & Hu, X. (2021). Will collaborators make scientists move? A Generalized Propensity Score analysis. Journal of Informetrics, 15(1), 101113.
Yu, Q., Wang, Q., Zhang, Y., Chen, C., Ryu, H., Park, N., ...Liu,M,… & Bu, Y. (2021). Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics, 126(5), 4491-4509.
Bu, Y., Li, H., Wei, C., Liu, M., & Li, J. (2020). On the relationship between supervisor–supervisee gender difference and scientific impact of doctoral dissertations: Evidence from Humanities and Social Sciences in China. Journal of Information Science, 0165551520969935.
Liu, M., Hu, X., & Schedl, M. (2018). The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study. PloS one, 13(12), e0208186.
Liu, M., Hu, X., Wang, Y., & Shi, D. (2018). Survive or perish: Investigating the life cycle of academic journals from 1950 to 2013 using survival analysis methods. Journal of Informetrics, 12(1), 344-364.
Liu, M., Hu, X., & Li, J. (2018). Knowledge flow in China’s humanities and social sciences. Quality & Quantity, 52(2), 607-626.
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. PloS one, 12(9), e0184977.
Wang, Y., Hu, R., & Liu, M. (2017). (corresponding)The geotemporal demographics of academic journals from 1950 to 2013 according to Ulrich’s database. Journal of Informetrics, 11(3), 655-671.
Wang, Y., Chen, Y., Liu, M., & Hu, R. (2018). Growth and quality of Chinese journals from 1949 to 2013. Learned Publishing, 31(3), 205-214.
Liu, M., Li W., Wang, Y., & Chen, J.. (2015). The analysis of technology creation and diffusion networks based on the data on universities from 2008 to 2012. Forum on Science and Technology in China (中国科技论坛), (12), 101-107.（《技术创造-扩散网络对比研究——基于省际 2008—2012 年高校数据.》）
Wang, Y., Liu M., Ma Q., & Chen, J.. (2015). Analysis on Strategic Emerging Industries' Patent Licensing of Chinese Universities. R & D Management (研究与发展管理), 27(4), 130-138.（《我国高校战略性新兴产业专利许可研究》）
Associate editor of Quality & Quantity (https://www.springer.com/journal/11135)
Chair-elect of ASIS&T SIG-STI (Special Interest Group – Scientific and Technical Information) (https://www.asist.org/sig/sigsti/)
The program director of LSE-Fudan Double Master’s Degree Program in Global Social Policy (https://igpp.fudan.edu.cn/igppen/46/2c/c33426a411180/page.htm)