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Tracing knowledge diffusion

Citations

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Cited by:

  1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
  2. Yong-Gil Lee & Jeong-Dong Lee & Yong-Il Song & Se-Jun Lee, 2007. "An in-depth empirical analysis of patent citation counts using zero-inflated count data model: The case of KIST," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 27-39, January.
  3. Wang, Chun-Chieh & Sung, Hui-Yun & Chen, Dar-Zen & Huang, Mu-Hsuan, 2017. "Strong ties and weak ties of the knowledge spillover network in the semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 114-127.
  4. Janczewska Danuta, 2016. "Process of Knowledge Diffusion in SMEs in Multicultural Space," Journal of Intercultural Management, Sciendo, vol. 8(2), pages 85-104, June.
  5. Bulent Ozel, 2012. "Collaboration structure and knowledge diffusion in Turkish management academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 183-206, October.
  6. Zhuang, Enyu & Chen, Guanrong & Feng, Gang, 2011. "A network model of knowledge accumulation through diffusion and upgrade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2582-2592.
  7. Chi, Yuxue & Tang, Xianyi & Liu, Yijun, 2022. "Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain," Journal of Informetrics, Elsevier, vol. 16(4).
  8. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
  9. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
  10. Xuezhao Wang & Yajuan Zhao & Rui Liu & Jing Zhang, 2013. "Knowledge-transfer analysis based on co-citation clustering," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 859-869, December.
  11. Sung, Hui-Yun & Wang, Chun-Chieh & Huang, Mu-Hsuan & Chen, Dar-Zen, 2015. "Measuring science-based science linkage and non-science-based linkage of patents through non-patent references," Journal of Informetrics, Elsevier, vol. 9(3), pages 488-498.
  12. Li, Xiaotao & Yuan, Xiaodong, 2022. "Tracing the technology transfer of battery electric vehicles in China: A patent citation organization network analysis," Energy, Elsevier, vol. 239(PD).
  13. Xia Gao & Jiancheng Guan, 2012. "Network model of knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 749-762, March.
  14. Nonnis, Alberto & Bounfour, Ahmed & Kim, Keungoui, 2023. "Knowledge spillovers and intangible complementarities: Empirical case of European countries," Research Policy, Elsevier, vol. 52(1).
  15. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
  16. 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).
  17. Wang, Haiying & Moore, Jack Murdoch & Wang, Jun & Small, Michael, 2021. "The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks," Applied Mathematics and Computation, Elsevier, vol. 392(C).
  18. Yue, Zenghui & Xu, Haiyun & Yuan, Guoting & Pang, Hongshen, 2019. "Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 375-391.
  19. Baaden, Philipp & Rennings, Michael & John, Marcus & Bröring, Stefanie, 2024. "On the emergence of interdisciplinary scientific fields: (how) does it relate to science convergence?," Research Policy, Elsevier, vol. 53(6).
  20. 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.
  21. Choe, Hochull & Lee, Duk Hee & Kim, Hee Dae & Seo, Il Won, 2016. "Structural properties and inter-organizational knowledge flows of patent citation network: The case of organic solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 361-370.
  22. Tachia Chin & Muhammad Waleed Ayub Ghouri & Jiyang Jin & Muhammet Deveci, 2024. "AI technologies affording the orchestration of ecosystem-based business models: the moderating role of AI knowledge spillover," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
  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.
  24. Guang Yu & Ming-Yang Wang & Da-Ren Yu, 2010. "Characterizing knowledge diffusion of Nanoscience & Nanotechnology by citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 81-97, July.
  25. Jiancheng Guan & Wenjia Zhu, 2014. "How knowledge diffuses across countries: a case study in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2129-2144, March.
  26. John McLevey & Alexander V. Graham & Reid McIlroy-Young & Pierson Browne & Kathryn S. Plaisance, 2018. "Interdisciplinarity and insularity in the diffusion of knowledge: an analysis of disciplinary boundaries between philosophy of science and the sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 331-349, October.
  27. Yuan, Yuxin & Yuan, Xiaodong, 2023. "Does the development of fuel cell electric vehicles be reviving or recessional? Based on the patent analysis," Energy, Elsevier, vol. 272(C).
  28. 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.
  29. Wang, Jean J. & Ye, Fred Y., 2021. "Probing into the interactions between papers and patents of new CRISPR/CAS9 technology: A citation comparison," Journal of Informetrics, Elsevier, vol. 15(4).
  30. Mu-Hsuan Huang & Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen, 2013. "Exploring patent performance and technology interactions of universities, industries, governments and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 11-26, July.
  31. Choe, Hochull & Lee, Duk Hee & Seo, Il Won & Kim, Hee Dae, 2013. "Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 492-505.
  32. Yang, Zaoli & Wu, Qingyang & Venkatachalam, K. & Li, Yuchen & Xu, Bing & Trojovský, Pavel, 2022. "Topic identification and sentiment trends in Weibo and WeChat content related to intellectual property in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  33. Jianhua Hou & Hao Li & Yang Zhang, 2023. "Altmetrics-based sleeping beauties: necessity or just a supplement?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5477-5506, October.
  34. Martin G Moehrle & Irina Pfennig & Jan M Gerken, 2017. "Identifying Lead Users In A B2b Environment Based On Patent Analysis — The Case Of The Crane Industry," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-20, August.
  35. Abigail Devereaux & Roger Koppl & Stuart Kauffman, 2024. "Creative evolution in economics," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 489-514, April.
  36. Katarina Larsen, 2008. "Knowledge network hubs and measures of research impact, science structure, and publication output in nanostructured solar cell research," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 123-142, January.
  37. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.
  38. Yuandi Wang & Xin Pan & Lutao Ning & Jian Li & Jin Chen, 2015. "Technology exchange patterns in China: an analysis of regional data," The Journal of Technology Transfer, Springer, vol. 40(2), pages 252-272, April.
  39. Yeon Hak Kim & Aaron D. Levine & Eric J. Nehl & John P. Walsh, 2020. "A bibliometric measure of translational science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2349-2382, December.
  40. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
  41. Wan, Bingyue & Tian, Lixin & Zhu, Naiping & Gu, Liqin & Zhang, Guangyong, 2018. "A new endogenous growth model for green low-carbon behavior and its comprehensive effects," Applied Energy, Elsevier, vol. 230(C), pages 1332-1346.
  42. Xiaoling Sun & Kun Ding, 2018. "Identifying and tracking scientific and technological knowledge memes from citation networks of publications and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1735-1748, September.
  43. Ha, Sung Ho & Liu, Weina & Cho, Hune & Kim, Sang Hyun, 2015. "Technological advances in the fuel cell vehicle: Patent portfolio management," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 277-289.
  44. Xinyuan Zhang & Qing Xie & Chaemin Song & Min Song, 2022. "Mining the evolutionary process of knowledge through multiple relationships between keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2023-2053, April.
  45. Kiss, Istvan Z. & Broom, Mark & Craze, Paul G. & Rafols, Ismael, 2010. "Can epidemic models describe the diffusion of topics across disciplines?," Journal of Informetrics, Elsevier, vol. 4(1), pages 74-82.
  46. Yujie Zhang & Hongzhen Li & Jingyi Mao & Guoxiu He & Yunhan Yang & Zhuoren Jiang & Yufeng Duan, 2023. "COVID-19: a disruptive impact on the knowledge support of references," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4791-4823, August.
  47. Cédric Gossart & Müge Özman, 2009. "Co-authorship networks in social sciences: The case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 323-345, February.
  48. Jiaojiao Ji & George A. Barnett & Jianxun Chu, 2019. "Global networks of genetically modified crops technology: a patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 737-762, March.
  49. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.
  50. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).
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