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Analyzing the time delay between scientific research and technology patents based on the citation distribution model

Author

Listed:
  • Guijie Zhang

    () (Harbin Institute of Technology)

  • Yuqiang Feng

    () (Harbin Institute of Technology)

  • Guang Yu

    () (Harbin Institute of Technology)

  • Luning Liu

    () (Harbin Institute of Technology)

  • Yanqiqi Hao

    () (Harbin Institute of Technology)

Abstract

Promoting knowledge diffusion and reducing the delay between scientific research and technology patents is important to achieve success in the highly competitive global environment. This paper studies the time delay between scientific research and technology patents, and focuses on the key components of time in the promotion of knowledge transformation. Based on United States Patent and Trademark Office patent data, we apply periodical citation distribution models to the patent process. The results show that our transfer function model is better than others, and is suitable for calculating the delay between basic scientific research activities and technology patents.

Suggested Citation

  • Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
  • Handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2357-3
    DOI: 10.1007/s11192-017-2357-3
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    Cited by:

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    2. Yashuang Qi & Na Zhu & Yujia Zhai & Ying Ding, 2018. "The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 893-911, May.
    3. Mingyang Wang & Jiaqi Zhang & Guangsheng Chen & Kah-Hin Chai, 2019. "Examining the influence of open access on journals’ citation obsolescence by modeling the actual citation process," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1621-1641, June.
    4. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.

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