Jian Wang
- Name
- Dr. J. Wang
- Telephone
- +31 71 527 2727
- j.wang@cwts.leidenuniv.nl
- ORCID iD
- 0000-0003-0520-737X
My research focuses on science and innovation and in particular the interface between them, integrating various disciplinary perspectives, such as public policy, sociology, economics, and psychology.
My recent research focuses on science funding, organization of science and innovation, creativity and novelty, and science-technology-linkages. Another research interest of mine is to develop innovative analytical methods for studying science and innovation, drawing from fields of bibliometrics, statistics, and machine learning. I earned my Ph.D. degree in Public Policy and a Master of Science degree in Statistics, from Georgia Institute of Technology (USA), and a Master of Economics degree in Applied Economics and a Bachelor of Arts degree in Journalism, from Tsinghua University (China). Before joining Leiden University, I was a fellow at the Labor and Worklife Program, Harvard University (USA) and postdoctoral fellow at the Centre for R&D Monitoring and Department of Management, Strategy and Innovation, KU Leuven (Belgium). I currently serve as an advisory editor for Research Policy, associate editor for Frontiers in Research Metrics and Analytics, and editorial board member for Research Evaluation. I teach Research Methods and manage the SBB internship program.
- Faculteit der Sociale Wetenschappen
- CWTS
Assistant professor
- Science
- Leiden Inst of Advanced Computer Science
- Wang J. & Shibayama S. (2022), Mentorship and creativity: effects of mentor creativity and mentoring style, Research Policy 51(3): 104451.
- Shibayama S. & Wang J. (2020), Measuring originality in science, Scientometrics 122: 409–427.
- Veugelers R. & Wang J. (2019), Scientific novelty and technological impact, Research Policy 48(6): 1362-1372.
- Verberne S., Chios G. & Wang J. (2019), Extracting and Matching Patent In-text References to Scientific Publications. Chandrasekaran M.K. & Mayr P. (Eds.), Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries 25 July 2019 - 25 July 2019 no. 2414: CEUR-WS. 56-69.
- Wang J., Lee Y.-N. & Walsh J.P. (2018), Funding model and creativity in science: Competitive versus block funding and status contingency effects, Research Policy 47(6): 1070-1083.
- Wang J. (2017), Search for evergreens in science: A functional data analysis, Journal of Informetrics 11(3): 629-644.
- Stephan P., Veugelers R. & Wang J. (2017), Blinkered by bibliometrics, Nature 544(7651): 411-412.
- Wang J., Veugelers R. & Stephan P. (2017), Bias against novelty in science: A cautionary tale for users of bibliometric indicators, Research Policy 46(8): 1416-1436.
- Wang J. (2016), Knowledge creation in collaboration networks: Effects of tie configuration, Research Policy 45(1): 68-80.
- Lee Y., Walsh J. & Wang J. (2015), Creativity in scientific teams: unpacking novelty and impact, Research Policy 44(3): 684-697.
- Wang J. (2015), Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity, Plos One 10(5): 0127298.
- Wang J. & Hicks D. (2015), Scientific teams: Self-assembly, fluidness, and interdependence, Journal of Informetrics 9(1): 197-207.
- Bornmann L., Leydesdorff L. & Wang J. (2014), How to improve the prediction based on citation impact percentiles for years shortly after the publication date?, Journal of Informetrics 8(1): 175-180.
- Wang J., Mei Y. & Hicks D. (2014), Comment on "Quantifying long-term scientific impact", Science 345(6193): 149.
- Wang J., Liang Z. & Xue L. (2014), Multinational R&D in China: differentiation and integration of global R&D networks, International Journal of Technology Management 65(1-4): 96-124.
- Wang J. (2014), Unpacking the Matthew effect in citations, Journal of Informetrics 8(2): 329-339.
- Hicks D. & Wang J. (2013), The New York Times as a Resource for Mode 2, Science Technology & Human Values 38(6): 851-877.
- Bornmann L., Leydesdorff L. & Wang J. (2013), Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100), Journal of Informetrics 7(4): 933-944.
- Wang J. (2013), Citation time window choice for research impact evaluation, Scientometrics 94(3): 851-872.
- Wang J. & Hicks D. (2013), Detecting structural change in university research systems: A case study of British research policy, Research Evaluation 22(4): 258-268.
- Wang J., Xue L. & Liang Z. (2012), Multinational R&D in China: From home-country-based to host-country-based, INNOVATION-MANAGEMENT POLICY & PRACTICE 14(2): 192-202.
- Wang J., Berzins K., Hicks D., Melkers J., Xiao F. & Pinheiro D. (2012), A boosted-trees method for name disambiguation, Scientometrics 93(2): 391-411.
- Hicks D. & Wang J. (2011), Coverage and Overlap of the New Social Sciences and Humanities Journal Lists, Journal of the American Society for Information Science and Technology 62(2): 284-294.