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Patent citation analysis: Calculating science linkage based on citing motivation

Author

Listed:
  • Rui Li
  • Tamy Chambers
  • Ying Ding
  • Guo Zhang
  • Liansheng Meng

Abstract

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Suggested Citation

  • Rui Li & Tamy Chambers & Ying Ding & Guo Zhang & Liansheng Meng, 2014. "Patent citation analysis: Calculating science linkage based on citing motivation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 1007-1017, May.
    • Handle: RePEc:bla:jinfst:v:65:y:2014:i:5:p:1007-1017
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    Citations

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    Cited by:

    1. 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.
    2. Joaquín M. Azagra-Caro & Elena M. Tur, 2018. "Examiner trust in applicants to the European Patent Office: country specificities," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1319-1348, December.
    3. Xu, Haiyun & Yue, Zenghui & Pang, Hongshen & Elahi, Ehsan & Li, Jing & Wang, Lu, 2022. "Integrative model for discovering linked topics in science and technology," Journal of Informetrics, Elsevier, vol. 16(2).
    4. Azagra-Caro,Joaquín M. & Tur,Elena M., 2014. "Examiner amendments to applications to the european patent office: Procedures, knowledge bases and country specificities," INGENIO (CSIC-UPV) Working Paper Series 201406, INGENIO (CSIC-UPV), revised 29 Nov 2018.
    5. Adam B. Jaffe & Gaétan de Rassenfosse, 2017. "Patent citation data in social science research: Overview and best practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1360-1374, June.
    6. Gazni, Ali, 2020. "The growing number of patent citations to scientific papers: Changes in the world, nations, and fields," Technology in Society, Elsevier, vol. 62(C).
    7. Guijie Zhang & Guang Yu & Yuqiang Feng & Luning Liu & Zhenhua Yang, 2017. "Improving the publication delay model to characterize the patent granting process," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 621-637, May.
    8. Jordan A. Comins, 2015. "Data-mining the technological importance of government-funded patents in the private sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 425-435, August.
    9. Yoonki Rhee & Sejun Yoon & Hyunseok Park, 2022. "Exploring Knowledge Trajectories of Accounting Information Systems Using Business Method Patents and Knowledge Persistence-Based Main Path Analysis," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
    10. 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.
    11. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Liu, Ziqiang & Yuan, Guoting, 2020. "Topic-linked innovation paths in science and technology," Journal of Informetrics, Elsevier, vol. 14(2).
    12. Higham, Kyle & Contisciani, Martina & De Bacco, Caterina, 2022. "Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    13. Choi, Jaewoong & Yoon, Janghyeok, 2022. "Measuring knowledge exploration distance at the patent level: Application of network embedding and citation analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    14. Appio, Francesco Paolo & Martini, Antonella & Fantoni, Gualtiero, 2017. "The light and shade of knowledge recombination: Insights from a general-purpose technology," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 154-165.
    15. Inchae Park & Yujin Jeong & Byungun Yoon, 2017. "Analyzing the value of technology based on the differences of patent citations between applicants and examiners," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 665-691, May.
    16. Mingyang Wang & Shi Li & Guangsheng Chen, 2017. "Detecting latent referential articles based on their vitality performance in the latest 2 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1557-1571, September.
    17. Hou, Jianhua & Tang, Shiqi & Zhang, Yang & Song, Haoyang, 2023. "Does prior knowledge affect patent technology diffusion? A semantic-based patent citation contribution analysis," Journal of Informetrics, Elsevier, vol. 17(2).
    18. Huang, Ying & Chen, Lixin & Zhang, Lin, 2020. "Patent citation inflation: The phenomenon, its measurement, and relative indicators to temper its effects," Journal of Informetrics, Elsevier, vol. 14(2).
    19. Du, Jian & Li, Peixin & Guo, Qianying & Tang, Xiaoli, 2019. "Measuring the knowledge translation and convergence in pharmaceutical innovation by funding-science-technology-innovation linkages analysis," Journal of Informetrics, Elsevier, vol. 13(1), pages 132-148.
    20. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
    21. Lee, Jangwook, 2020. "Do Patents Lead to an Increase in Firm Value? Evidence from Korea," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 42(3), pages 33-52.
    22. 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.
    23. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.

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