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Patent citation analysis: A policy analysis tool

Citations

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Cited by:

  1. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
  2. Lee, Changyong & Kwon, Ohjin & Kim, Myeongjung & Kwon, Daeil, 2018. "Early identification of emerging technologies: A machine learning approach using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 291-303.
  3. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.
  4. Janghyeok Yoon & Kwangsoo Kim, 2011. "Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 213-228, July.
  5. Mu-Hsuan Huang & Li-Yun Chiang & Dar-Zen Chen, 2003. "Constructing a patent citation map using bibliographic coupling: A study of Taiwan's high-tech companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 489-506, November.
  6. Hyun Woo Park & Jay Kang, 2009. "Patterns of scientific and technological knowledge flows based on scientific papers and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 811-820, December.
  7. Szu-chia Lo, 2007. "Patent analysis of genetic engineering research in Japan, Korea and Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 183-200, January.
  8. Kang, Byeongwoo & Motohashi, Kazuyuki, 2015. "Essential intellectual property rights and inventors’ involvement in standardization," Research Policy, Elsevier, vol. 44(2), pages 483-492.
  9. Scott D. Bass & Lukasz A. Kurgan, 2010. "Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 217-241, February.
  10. Xipeng Liu & Xinmiao Li, 2022. "Early Identification of Significant Patents Using Heterogeneous Applicant-Citation Networks Based on the Chinese Green Patent Data," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
  11. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
  12. Chen-Yuan Liu & Shenq-Yih Luo, 2008. "Analysis of developing a specific technological field using the theme code of Japanese patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 51-65, April.
  13. Jurriën Bakker & Dennis Verhoeven & Lin Zhang & Bart Van Looy, 2016. "Patent citation indicators: One size fits all?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 187-211, January.
  14. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  15. Xianwen Wang & Xi Zhang & Shenmeng Xu, 2011. "Patent co-citation networks of Fortune 500 companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 761-770, September.
  16. Ulas Akkucuk & Mehmet Nafi Artemel, 2016. "Patent Data Visualization: A Regional Study," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(3), pages 66-79, April.
  17. Pao-Long Chang & Chao-Chan Wu & Hoang-Jyh Leu, 2010. "Using patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 5-19, January.
  18. Inkyung Cho & Jungkyu Park & Eunnyeong Heo, 2018. "Measuring Knowledge Diffusion in Water Resources Research and Development: The Case of Korea," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
  19. Eun Han & So Sohn, 2015. "Patent valuation based on text mining and survival analysis," The Journal of Technology Transfer, Springer, vol. 40(5), pages 821-839, October.
  20. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
  21. Dar-Zen Chen & Wen-Yau Cathy Lin & Mu-Hsuan Huang, 2007. "Using Essential Patent Index and Essential Technological Strength to evaluate industrial technological innovation competitiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 101-116, April.
  22. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
  23. Changyong Lee & Suckwon Hong & Juram Kim, 2021. "Anticipating multi-technology convergence: a machine learning approach using patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1867-1896, March.
  24. Byeongwoo Kang & Rudi Bekkers, 2013. "Just-in-time inventions and the development of standards: How firms use opportunistic strategies to obtain standard-essential patents (SEPs)," Working Papers 13-01, Eindhoven Center for Innovation Studies, revised Feb 2013.
  25. Jang, Hyun Jin & Woo, Han-Gyun & Lee, Changyong, 2017. "Hawkes process-based technology impact analysis," Journal of Informetrics, Elsevier, vol. 11(2), pages 511-529.
  26. Keungoui Kim & Alberto Nonnis & Altay Özaygen & Dieter F. Kogler, 2023. "Green-tech firm creation in Germany: the role of regional knowledge," International Entrepreneurship and Management Journal, Springer, vol. 19(1), pages 97-120, March.
  27. Park, Yongtae & Yoon, Byungun & Lee, Sungjoo, 2005. "The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis," Technology in Society, Elsevier, vol. 27(4), pages 471-485.
  28. Uijun Kwon & Youngjung Geum, 2020. "Identification of promising inventions considering the quality of knowledge accumulation: a machine learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1877-1897, December.
  29. Yongtae Park & Sungjoo Lee & Sora Lee, 2012. "Patent analysis for promoting technology transfer in multi-technology industries: the Korean aerospace industry case," The Journal of Technology Transfer, Springer, vol. 37(3), pages 355-374, June.
  30. Kang, Kiyeon & Sohn, So Young, 2016. "Evaluating the patenting activities of pharmaceutical research organizations based on new technology indices," Journal of Informetrics, Elsevier, vol. 10(1), pages 74-81.
  31. Gurney, Thomas & Horlings, Edwin & van den Besselaar, Peter & Sumikura, Koichi & Schoen, Antoine & Laurens, Patricia & Pardo, Daniel, 2014. "Analysing knowledge capture mechanisms: Methods and a stylised bioventure case," Journal of Informetrics, Elsevier, vol. 8(1), pages 259-272.
  32. Shiu-Wan Hung & An-Pang Wang, 2010. "Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 121-134, January.
  33. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
  34. Elizabeth Webster & Paul H. Jensen & Alfons Palangkaraya, 2014. "Patent examination outcomes and the national treatment principle," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 449-469, June.
  35. Keeeun Lee & Deaun Go & Inchae Park & Byungun Yoon, 2017. "Exploring Suitable Technology for Small and Medium-Sized Enterprises (SMEs) Based on a Hidden Markov Model Using Patent Information and Value Chain Analysis," Sustainability, MDPI, vol. 9(7), pages 1-19, June.
  36. 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.
  37. Kang, Byeongwoo & Bekkers, Rudi, 2015. "Just-in-time patents and the development of standards," Research Policy, Elsevier, vol. 44(10), pages 1948-1961.
  38. Yoon, Jungsub & Oh, Yoonhwan & Lee, Jeong-Dong, 2017. "The impact of policy consistency on technological competitiveness: A study on OECD countries," Energy Policy, Elsevier, vol. 108(C), pages 425-434.
  39. Jiancheng Guan & Yuan Shi, 2012. "Transnational citation, technological diversity and small world in global nanotechnology patenting," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 609-633, December.
  40. Mei Hsiu-Ching Ho & John S. Liu & Kerr C.-T. Chang, 2017. "To include or not: the role of review papers in citation-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 65-76, January.
  41. 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.
  42. Janghyeok Yoon & Kwangsoo Kim, 2012. "Detecting signals of new technological opportunities using semantic patent analysis and outlier detection," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 445-461, February.
  43. Michael Thelwall, 2018. "Can Microsoft Academic be used for citation analysis of preprint archives? The case of the Social Science Research Network," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 913-928, May.
  44. Mu-Hsuan Huang & Dar-Zen Chen & Danqi Shen & Mona S. Wang & Fred Y. Ye, 2015. "Measuring technological performance of assignees using trace metrics in three fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 61-86, July.
  45. Kang, Byeongwoo & Bekkers, Rudi, 2022. "The determinants of parallel invention : Measuring the role of information sharing and personal interaction between inventors," IIR Working Paper 22-06, Institute of Innovation Research, Hitotsubashi University.
  46. Gelsomina Catalano & Gaston García López & Alejandro Sánchez & Silvia Vignetti, 2021. "From scientific experiments to innovation: Impact pathways of a Synchrotron Light Facility," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(3), pages 447-472, September.
  47. Shen, Yung-Chi & Wang, Ming-Yeu & Yang, Ya-Chu, 2020. "Discovering the potential opportunities of scientific advancement and technological innovation: A case study of smart health monitoring technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  48. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
  49. Byeongwoo KANG & MOTOHASHI Kazuyuki, 2012. "Determinants of Essential Intellectual Property Rights for Wireless Communications Standards: Manufacturing firms vs. non-manufacturing patentees," Discussion papers 12042, Research Institute of Economy, Trade and Industry (RIETI).
  50. repec:hal:spmain:info:hdl:2441/43aq8ffdqb82sbffkv69bt1eaa is not listed on IDEAS
  51. 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.
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