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Patent citation analysis: Calculating science linkage based on citing motivation

Citations

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Cited by:

  1. Lewei Zhou & Mingliang Yue & Tingcan Ma & Chundong Li, 2025. "The impact of patent citation on the citation performance of academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(8), pages 4221-4248, August.
  2. 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.
  3. Yali Qiao & Alan L. Porter & Ying Huang & Haiyun Xu & Xuefeng Wang, 2025. "Comparing examiner citations and applicant citations: insights into technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 537-563, February.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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).
  9. 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.
  10. Jianhua Hou & Shiqi Tang & Yang Zhang, 2024. "A novel technology life cycle analysis method based on LSTM and CRF," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1173-1196, 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. 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.
  13. 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).
  14. 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).
  15. 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).
  16. 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.
  17. Wang, Zhiqi & Chen, Yue & Yang, Chun, 2025. "The role of preprints in open science: Accelerating knowledge transfer from science to technology," Journal of Informetrics, Elsevier, vol. 19(2).
  18. 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.
  19. 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).
  20. 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.
  21. 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).
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
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