Increasing science and technology linkage in fuel cells: A cross citation analysis of papers and patents

Citations

Cited by:

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17. Xiaoli Wang & Yun Liu & Lingdi Chen & Yifan Zhang, 2022. "Correlation Monitoring Method and model of Science-Technology-Industry in the AI Field: A Case of the Neural Network," SAGE Open, , vol. 12(4), pages 21582440221, December.
18. Li, Xin & Wang, Yan, 2024. "A novel integrated approach for quantifying the convergence of disruptive technologies from science to technology," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
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20. Yeon Hak Kim & Aaron D. Levine & Eric J. Nehl & John P. Walsh, 2020. "A bibliometric measure of translational science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2349-2382, December.
21. Liu Li & Chaoying Tang, 2020. "How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
22. Weijie Zhu & Wucheng Han & Ruoyu Lu & Jiasu Lei, 2025. "The impact of enterprises’ scientific capabilities on innovation performance: evidence from an empirical analysis and simulation model," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
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