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Patent activity analysis of vibration-reduction control technology in high-speed railway vehicle systems in China

Author

Listed:
  • F. Zhang

    (Southwest Jiaotong University)

  • X. Zhang

    (Chengdu Library of the Chinese Academy of Sciences
    University of Chinese Academy of Science)

Abstract

Patent activity in China for vibration-reduction control technology in high-speed railway vehicle systems was analyzed based on a portfolio of 193 patents or applications from the State Intellectual Property Office of the People’s Republic of China official Web-based database and a search of the World Intellectual Property Organization PCT database. Patent activity features such as timing, applicant, technology classification, technical themes, and patents in force were obtained and analyzed. As a further stage of research, patent data on locomotive wheel sets were analyzed by means of a matrix analysis of problems and technologies. The main statistical information and conclusions include estimating the development stage, discovering the distributions of applications and applicants, weighing the roles played by major applications, determining R&D hotspots, and providing a better understanding of domestic patent activities in this field. Policy implications for innovation-related domestic R&D institutions in the technologies under study were proposed based on the analytical results.

Suggested Citation

  • F. Zhang & X. Zhang, 2014. "Patent activity analysis of vibration-reduction control technology in high-speed railway vehicle systems in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 723-740, September.
  • Handle: RePEc:spr:scient:v:100:y:2014:i:3:d:10.1007_s11192-014-1318-3
    DOI: 10.1007/s11192-014-1318-3
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    References listed on IDEAS

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    1. Wu, Connie & Liu, Yanhuai, 2004. "Use of the IPC and various retrieval systems to research patent activities of US organizations in the People's Republic of China," World Patent Information, Elsevier, vol. 26(3), pages 225-233, September.
    2. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
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    Cited by:

    1. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Yuan, Xiaodong & Li, Xiaotao, 2021. "The evolution of the industrial value chain in China's high-speed rail driven by innovation policies: A patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Yu, Xiang & Zhang, Ben, 2019. "Obtaining advantages from technology revolution: A patent roadmap for competition analysis and strategy planning," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 273-283.
    4. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.

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