References
- Arundel, A., & Geuna, A. (2004). Proximity and the use of public science by innovative European firms. Economics of Innovation & New Technology, 13(6), 559–580.
- Bamfield, P. (2006). Research and development in the chemical and pharmaceutical industry. John Wiley & Sons.
- Barber, M.J. (2007). Modularity and community detection in bipartite networks. Physical Review E Statistical Nonlinear & Soft Matter Physics, 76(2), 066102.
- Baxter, G., Dorogovtsev, S., Goltsev, A., & Mendes, J. (2012). Handbook of Optimization in Complex Networks. Optimization, 57, 229–252. https://doi.org/10.1007/978-1-4614-0754-6.
- Blondel, V.D., Guillaume, J.L., Lambiotte R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of statistical mechanics, (10), 155–168.
- Bruneel, J., ďEste, P., & Salter, A. (2010). Investigating the factors that diminish the barriers to university–industry collaboration. Research Policy, 39(7), 858–868.
- Cai, X., Xiao, Y.F., & Zeng, F.R. (2001). Research on knowledge-innovation-chain. Soft Science, 15(1), 2–4.
- Cai, X. (2002). Innovation, innovation cluster, innovation chain and their enlightenment. R&D Management, 14(6), 35–39.
- Cao, J., Fan, D.C., & Tang, X.X. (2010). Research on the evaluation of technology innovation performance based on industry-university-research cooperation. Science& Technology Progress and Policy, 27(7), 114–118.
- Clements, C.J., & Wesselingh, S.L. (2005). Vaccine presentations and delivery technologies-what does the future hold? Expert Review of Vaccines, 4(3), 281.
- Cohen, W.M., Nelson, R.R., & Walsh, J.P. (2002). Links and impacts: the influence of public research on industrial R&D. Management science, 48(1), 1–23.
- D’Este, P., & Patel, P. (2007). University–industry linkages in the UK: What are the factors underlying the variety of interactions with industry? Research policy, 36(9), 1295–1313.
- Fischer, M., Jähn, H., Teich, T. (2004). Optimizing the selection of partners in production networks. Robotics & Computer-Integrated Manufacturing, 20(6), 593–601.
- Huang, M.D., Li, W.W., & Huang, J. (2017). Research on the present situation and countermeasures of the industry-university-research cooperation in China. Science & Technoloyg Progress and Policy, 34(19), 22–27.
- Huang, S.J. (2014). China Industrial Cluster Innovation Development Report: Learning Mechanism in Cluster Network 2011–2012. Economic management publishing house.
- Incites. (2015). InCitesTM quick strat guide of InCitesTM database. http://ipscience-help.thomsonreuters.com/inCites2Live/8980-TRS/version/default/part/AttachmentData/data/InCites-Indicators-Handbook-6%2019.pdf.
- Kogut, B., & Chang, S.J. (1991). Technological capabilities and Japanese foreign direct investment in the United States. Review of Economics and Statistics, 73(3), 401–413.
- Mohnen, P., & Hoareau, C. (2003). What type of enterprise forges close links with universities and government labs? Evidence from CIS 2. Managerial and decision economics, 24(2–3), 133–145.
- Larson, E.V., & Brahmakulam, I.T. (2001). Building a New Foundation for Innovation. Rand Corporation.
- Laursen, K., & Salter, A. (2006). Open for innovation: the role of openness in explaining innovation performance among UK manufacturing firms. Strategic management journal, 27(2), 131–150.
- Leydesdorff, L., & Etzkowitz, H. (1996). Emergence of a Triple Helix of university-industry-government relations. Science & public policy, 23(5), 279–286.
- Liang, Y.M. (2007). A new strategy on the bilateral technical cooperation. Guangzhou. (Jinan University M.S. dissertation)
- Li, W.H., Wang, C.H., & An, N. (2008). Analysis of the relationship and mode between Subject and object of industry-unniversity-research cooperation based on innovation system. Science and Technology Management Research, 28(6), 4–5.
- Park, I., Jeong, Y., Yoon, B., & Mortara, L. (2015). Exploring potential R&D collaboration partners through patentanalysis based on bibliographic coupling and latent semantic analysis. Technology Analysis & Strategic Management, 27(7), 759–781.
- Newman, M.E. (2003). The structure and function of complex networks. SIAM review, 45(2), 167–256.
- Newman, M.E., & Girvan, M. (2004).Finding and evaluating community structure in networks. Physical Review E Statistical Nonlinear & Soft Matter Physics, 69(2), 026113.
- Qing, T., & Liu, S. (2016). Construction of industry-university-research cooperation innovation system in Chengdu. China Journal of Commerce, (29), 135–137.
- Reuters, T. (2015). Thomson Data Analyzer. https://clarivate.com/wp-content/uploads/2017/10/IP_Derwent_Data_Analyzer.pdf
- Reuters, T. (2015). Derwent innovations index.Thomson Reuters.
- Santoro, M.D., & Gopalakrishnan, S. (2000). The institutionalization of knowledge transfer activities within industry-university collaborative ventures. Journal of engineering and technology management, 17(3–4), 299–319.
- Shen H. Data show the conversion rate of scientific and technological achievements in China is less than 30%, China Economic Net. Retrieved from http://www.ce.cn/xwzx/gnsz/gdxw/201601/25/t20160125_8520630.shtml.
- Slotte, V., & Tynjälä, P. (2003). Industry–university collaboration for continuing professional development. Journal of Education & Work, 16(4), 445–464.
- Solesvik, M.Z., & Encheva, S. (2010). Partner selection for interfirm collaboration in ship design. Industrial Management & Data Systems, 110(5), 701–717.
- Tang, Y.L., Song, G.C., & Liang, W.C. (2005). Research progress and applicaton of genetic engineering vaccines. Jilin Journal of Animal husbandry and veterunary medicine, 12, 18–20.
- Timmers, P. (2002). Building effective public R&D programs. Portland International Conference on Management of Engineering and Technology, 1999. Technology and Innovation Management. Picmet. IEEE, 2, 591–597.
- Wang, T.C., & Chen, Y.H. (2007). Applying consistent fuzzy preference relations to partnership selection. Omega, 35(4), 384–388.
- Wang, X.F., Wang, Z.N., Huang, Y., Liu, Y.Q., Zhang, J., Heng, X.F., & Zhu D.H. (2017). Identifying R&D partners through subject-action-object semantic analysis in a problem & solution pattern. Technology Analysis and Strategic Management, 1–14.
- Wen, F.F. (2012). Study on patent collaboration patterns based on co-inventorship bibliometrics. Wuhan University.
- Xie, K.F., & Liu, H.L. (2006). Game analysis of R&D entities basesd on industry-unniversity-research institute cooperation. Science of Science and management of S. &T., 27(10), 27–30.
- Xu, H.Y., Qi, Y., Yue, Z.H., & Fang, S. (2015). Measurment methods and application research of triple helix model in collaborative innovation management. Journal of the China Society for Scientific and Technical Information, 34(3), 236–246.
- Xu, H.Y., Wang, C., Dong, K., Wei, L., & Pang, H.S. (2017). Methods to identify potential industry–university-research institutions cooperation partners based on the knowledge spillovers effects in the Innovation chain. Journal of the China Society for Scientific and Technical Information, 36(7), 682–694.
- Yoon, B., & Song, B. (2014). A systematic approach of partner selection for open innovation. Industrial Management & Data Systems, 114(7), 1068–1093.
- Yue, Z.H., Xu, H.Y., & Fang, S. (2015). Modeling knowledge diffusion in scientific collaboration network based on structural parameters. Journal of the China Society for Scientific and Technical Information, 34(5), 471–483.
- Zhang, L. (2012). Choice of Partners for the Cooperative Innovation of Industries, Universities and Research Institutes by Game Analysis. Science and Technology Management Research, (19), 218–223.
- Zheng, Y.L. (2015). Study on formation mechanism of generic technology cooperative R&D based on evolutinary game theory. Chongqing. (Chongqing University Ph.D. dissertation)