Centre for Science and Technology Studies Centre for Science and Technology Studies 2333AL Leiden Zuid Holland 31715273909

Jian Wang

Assistant Professor at the Science Based Business Program, Faculty of Science, Leiden University.  He studies science and innovation and in particular the interface between them, integrating various disciplinary perspectives, such as economics, sociology, management, and public policy.  His recent research focuses on novelty in science and innovation and its economic and social drivers, such as funding schemes and team and network structures.  Another research line focuses on the translation of science into innovation.  His research builds on big data analytics and advanced statistical and data mining methods.

For more information see his personal webpage.
 

Publications

Journal publications (21)

  • Shibayama, S., & Wang, J. (2020). Measuring originality in science. Scientometrics, 122, 409-427. doi:10.1007/s11192-019-03263-0 (paper)
  • Veugelers, R., & Wang, J. (2019). Scientific novelty and technological impact. Research Policy, 48(6), 1362-1372. (paper)
  • Wang, J., Lee, Y., & Walsh, J. (2018). Funding model and creativity in science: Competitive versus block funding and status contingency effects. Research Policy, 47(6), 1070-1083. (paper)
  • Stephan, P., Veugelers, R., & Wang, J. (2017). Blinkered by bibliometrics. Nature, 544(7651), 411-412. doi:10.1038/544411a (paper)
  • Wang, J. (2017). Search for evergreens in science: A functional data analysis. Journal of Informetrics, 11(3), 629-644. (paper)
  • 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. (paper)
  • Wang, J. (2016). Knowledge creation in collaboration networks: Effects of tie configuration. Research Policy, 45(1), 68-80. doi:10.1016/j.respol.2015.09.003 (paper)
  • Lee, Y., Walsh, J., & Wang, J. (2015). Creativity in scientific teams: Unpacking novelty and impact. Research Policy, 44(3), 684-697. doi:10.1016/j.respol.2014.10.007 (paper)
  • Wang, J. (2015). Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity. PLoS ONE, 10(5), 0127298. (paper)
  • Wang, J., & Hicks, D. (2015). Scientific teams: Self-assembly, fluidness, and interdependence. Journal of Informetrics, 9(1), 197-207. doi:10.1016/j.joi.2014.12.006 (paper)
  • 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. doi:10.1016/j.joi.2013.11.005 (paper)
  • Wang, J. (2014). Unpacking the Matthew effect in citations. Journal of Informetrics, 8(2), 329-339. doi:10.1016/j.joi.2014.01.006 (paper)
  • 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. doi:10.1504/IJTM.2014.060959 (paper)
  • Wang, J., Mei, Y., & Hicks, D. (2014). Comment on "Quantifying long-term scientific impact". Science, 345(6193), 149. doi:10.1126/science.1248770 (paper)
  • 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. doi:10.1016/j.joi.2013.09.003 (paper)
  • Hicks, D., & Wang, J. (2013). The New York Times as a Resource for Mode 2. Science Technology & Human Values, 38(6), 851-877. (paper)
  • Wang, J. (2013). Citation time window choice for research impact evaluation. Scientometrics, 94(3), 851-872. doi:10.1007/s11192-012-0775-9 (paper)
  • 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. doi:10.1093/reseval/rvt016 (paper)
  • 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. doi:10.1007/s11192-012-0681-1 (paper)
  • 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. doi:10.5172/impp.2012.14.2.192 (paper)
  • 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. doi:10.1002/asi.21458 (paper)

Conference publications (1)

  • Verberne, S., Chios, G., & Wang, J. (2019). Extracting and Matching Patent In-text References to Scientific Publications. In M.K. Chandrasekaran, & P. Mayr (Eds.), Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) (pp. 56-69). (paper)

Visiting Researcher

E: j.wang@sbb.leidenuniv.nl


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