Mapping and comparing the technology evolution paths of scientific papers and patents: an integrated approach for forecasting technology trends-Reference-Cited by-同舟云学术

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Mapping and comparing the technology evolution paths of scientific papers and patents: an integrated approach for forecasting technology trends

Published:2024-03-01 Issue:4 Volume:129 Page:1975-2005
ISSN:0138-9130
Container-title:Scientometrics
language:en
Short-container-title:Scientometrics

Author:

Liu Peng,Zhou Wei,Feng Lijie,Wang Jinfeng^ORCID,Lin Kuo-Yi,Wu Xuan,Zhang Dingtang

Funder

General Project of Humanities and Social Science Research for Henan Province's Colleges and Universities

Research on the mechanism and path of innovation management of Henan enterprises under the innovation-driven strateg

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11192-024-04961-0.pdf

Reference45 articles.

1. Ba, Z., & Liang, Z. (2021). A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling. Journal of Informetrics. https://doi.org/10.1016/j.joi.2021.101167

2. Balland, P. A., & Boschma, R. (2022). Do scientific capabilities in specific domains matter for technological diversification in European regions? Research Policy, 51(10), 12. https://doi.org/10.1016/j.respol.2022.104594

3. Chen, M. C., & Ho, P. H. (2021). Exploring technology opportunities and evolution of IoT-related logistics services with text mining. Complex & Intelligent Systems, 7(5), 2577–2595. https://doi.org/10.1007/s40747-021-00453-3

4. Choi, S., Yoon, J., Kim, K., Lee, J. Y., & Kim, C. H. (2011). SAO network analysis of patents for technology trends identification: A case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells. Scientometrics, 88(3), 863–883. https://doi.org/10.1007/s11192-011-0420-z

5. Coccia, M. (2019). The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting. Technological Forecasting and Social Change, 141, 289–304. https://doi.org/10.1016/j.techfore.2018.12.012

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