Publisher
Springer International Publishing
Reference20 articles.
1. Korobkin, D., Shabanov, D., Fomenkov, S., Golovanchikov, A.: Construction of a matrix «Physical Effects—Technical Functions» on the base of patent corpus analysis. In: Creativity in Intelligent Technologies and Data Science (CIT&DS 2019), pp. 52–68 (Ser. Communications in Computer and Information Science (CCIS), vol. 1084) (2019)
2. Vasilyev, S., Korobkin, D., Kravets, A., Fomenkov, S., Kolesnikov, S.: Extraction of cyber-physical systems inventions’ structural elements of Russian-language patents. In: Cyber-Physical Systems: Advances in Design & Modelling, pp. 55–68 (Book ser. Studies in Systems, Decision and Control (SSDC), vol. 259). https://link.springer.com/book/10.1007/978-3-030-32579-4#toc (2020)
3. Guo, J., Wang, X., Li, Q., Zhu, D.: Subject–action–object-based morphology analysis for determining the direction of technological change. Technol. Forecast. Soc. Change 105, 27–40 (2016)
4. Lee, J., Kim, C., Shin, J.: Technology opportunity discovery to R&D planning: key technological performance analysis. Technol. Forecast. Soc. Change 119, 53–63 (2017)
5. Moehrle, M.G., Walter, L., Geritz, A., Muller, S.: Patent-based inventor profiles as a basis for human resource decisions in research and development. R&D Manag. 35(5), 513–524 (2005). No, H.J., Lim, H.: Exploration of nanobiotechnologies using patent data. J. Intellect. Property 4(3), 109–129 (2009)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献