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Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country

Citations

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  1. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  2. Richarz, Jan & Wegewitz, Stephan & Henn, Sarah & Müller, Dirk, 2023. "Graph-based research field analysis by the use of natural language processing: An overview of German energy research," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  3. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
  4. Shanshan Wang & Hongyan Zhou & Tianyi Zhao, 2024. "Configuration paths to high-value patents: evidence from patents winning the China Patent Awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2633-2658, May.
  5. Dunbar, Kwamie & Gao, Xin, 2025. "Advancing climate technology in developing nations through energy transition investments," Energy Economics, Elsevier, vol. 152(C).
  6. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
  7. Yawei Wang & Frauke Urban & Yuan Zhou & Luyi Chen, 2018. "Comparing the Technology Trajectories of Solar PV and Solar Water Heaters in China: Using a Patent Lens," Sustainability, MDPI, vol. 10(11), pages 1-29, November.
  8. Zi Ye & Chen Zou & Yongchun Huang, 2022. "Impact of Heterogeneous Spatial Structure on Regional Innovation—From the Perspectives of Efficiency and Gap," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
  9. Hu, Feng & Xi, Xun & Zhang, Yueyue, 2021. "Influencing mechanism of reverse knowledge spillover on investment enterprises’ technological progress: An empirical examination of Chinese firms," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  10. 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.
  11. Huanyong Ji & Guannan Xu & Yuan Zhou & Zhongzhen Miao, 2019. "The Impact of Corporate Social Responsibility on Firms’ Innovation in China: The Role of Institutional Support," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
  12. Jihong Chen & Kai Zhang & Yuan Zhou & Yufei Liu & Lingfeng Li & Zheng Chen & Li Yin, 2019. "Exploring the Development of Research, Technology and Business of Machine Tool Domain in New-Generation Information Technology Environment Based on Machine Learning," Sustainability, MDPI, vol. 11(12), pages 1-38, June.
  13. Hongyu Li & Zhiqiang Lu & Qili Yin, 2023. "The Development of Fintech and SME Innovation: Empirical Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
  14. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
  15. Huailan Liu & Zhiwang Chen & Jie Tang & Yuan Zhou & Sheng Liu, 2020. "Mapping the technology evolution path: a novel model for dynamic topic detection and tracking," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2043-2090, December.
  16. 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.
  17. Piotr Tomasz Makowski & Yuya Kajikawa, 2021. "Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle," Papers 2103.02395, arXiv.org.
  18. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  19. 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.
  20. Yuan Zhou & Fang Dong & Yufei Liu & Zhaofu Li & JunFei Du & Li Zhang, 2020. "Forecasting emerging technologies using data augmentation and deep learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 1-29, April.
  21. Liu, Yang & Zhao, Congyu & Kong, Zhaoyang & Taghizadeh-Hesary, Farhad, 2025. "Pathways to stable economic policy: The role of industrial robotics and energy transition," Renewable Energy, Elsevier, vol. 244(C).
  22. Abdol Majid Saadat Nezhad & Tahmoures Sohrabi & Nasrollah Shadnoosh & Abbas Toloie Eshlaghy, 2017. "A New Approach to Challenges of Venture Capital in Financing the Industrial Clusters through Cooperative Models and Venture Funds in Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(6), pages 111-119.
  23. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  24. Makowski, Piotr Tomasz & Kajikawa, Yuya, 2021. "Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  25. Han, Yihan & Pang, Silu & Jiang, Fuxin & Wang, Tao, 2025. "Does “Made in China (2025)” improve innovation quality in robotics? Evidence from PageRank-based patent network," Economic Modelling, Elsevier, vol. 152(C).
  26. 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.
  27. Ruxu Sheng & Rong Zhou & Ying Zhang & Zidi Wang, 2021. "Green Investment Changes in China: A Shift-Share Analysis," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
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