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Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies

Citations

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Cited by:

  1. Yuan Zhou & Fang Dong & Yufei Liu & Liang Ran, 2021. "A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 969-994, February.
  2. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
  3. Jinho Choi & Nina Shin & Hee Soo Lee, 2020. "Exploring the Dynamics between M&A Activities and Industry-Level Performance," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
  4. Chen ZHU & Kazuyuki MOTOHASHI, 2022. "Government R&D spending as a driving force of technology convergence," Discussion papers 22030, Research Institute of Economy, Trade and Industry (RIETI).
  5. Wu, Keye & Sun, Jianjun & Wang, Jiajie & Kang, Lele, 2025. "How does science convergence influence technology convergence? Different impacts of science-push and technology-pull," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
  6. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  7. 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).
  8. Wang, Tao & Wang, Jiajie & Shi, Jing & Sun, Jianjun & Kang, Lele, 2025. "Technological recombinant strategy and breakthrough innovation of team: The moderating role of science linkage," Journal of Informetrics, Elsevier, vol. 19(1).
  9. Ruxu Sheng & Juntian Du & Songqi Liu & Changan Wang & Zidi Wang & Xiaoqian Liu, 2021. "Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis," Energies, MDPI, vol. 14(19), pages 1-14, October.
  10. Jinqing Yang & Zhifeng Liu & Yong Huang, 2024. "From informal to formal: scientific knowledge role transition prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4909-4935, August.
  11. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
  12. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  13. Ho, Martin & Price, Henry C.W. & Evans, Tim S. & O’Sullivan, Eoin, 2025. "Enhancing foresight models with network science: Measuring innovation feedbacks within the Chain-Linked Model," Technological Forecasting and Social Change, Elsevier, vol. 213(C).
  14. Baaden, Philipp & Rennings, Michael & John, Marcus & Bröring, Stefanie, 2024. "On the emergence of interdisciplinary scientific fields: (how) does it relate to science convergence?," Research Policy, Elsevier, vol. 53(6).
  15. Yueran Duan & Qing Guan, 2021. "Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3749-3773, May.
  16. Keye Wu & Ziyue Xie & Jia Tina Du, 2024. "Does science disrupt technology? Examining science intensity, novelty, and recency through patent-paper citations in the pharmaceutical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5469-5491, September.
  17. Yang, Zaoli & Zhang, Weijian & Yuan, Fei & Islam, Nazrul, 2021. "Measuring topic network centrality for identifying technology and technological development in online communities," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  18. Mario Coccia, 2019. "How do scientific disciplines evolve in applied sciences? The properties of scientific fission and ambidextrous scientific drivers," Papers 1911.05363, arXiv.org.
  19. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.
  20. Zhu, Chen & Motohashi, Kazuyuki, 2022. "Identifying the technology convergence using patent text information: A graph convolutional networks (GCN)-based approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  21. Jiang, Man & Yang, Siluo & Gao, Qiang, 2024. "Multidimensional indicators to identify emerging technologies: Perspective of technological knowledge flow," Journal of Informetrics, Elsevier, vol. 18(1).
  22. Guannan Xu & Weijie Hu & Yuanyuan Qiao & Yuan Zhou, 2020. "Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2057-2081, September.
  23. Yang, Guancan & Xing, Jiaxin & Xu, Shuo & Zhao, Yuntian, 2024. "A framework armed with node dynamics for predicting technology convergence," Journal of Informetrics, Elsevier, vol. 18(4).
  24. Seo, Wonchul & Afifuddin, Mokh, 2024. "Developing a supervised learning model for anticipating potential technology convergence between technology topics," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  25. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  26. Chen Zhu & Kazuyuki Motohashi, 2023. "Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3035-3065, May.
  27. Xie, Xuemei & Liu, Xiaojie & Chen, Jialing, 2023. "A meta-analysis of the relationship between collaborative innovation and innovation performance: The role of formal and informal institutions," Technovation, Elsevier, vol. 124(C).
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