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Patent citations as a tool for analysing the early stages of convergence

Citations

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Cited by:

  1. Chunyi Shan & Jun Wang & Yongming Zhu, 2023. "The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
  2. Lai, I-Chun & Su, Hsin-Ning, 2024. "Knowledge spectrum explored: Understanding source-recipient interactions and their influence on technology convergence," Technovation, Elsevier, vol. 133(C).
  3. Park, Mingyu & Geum, Youngjung, 2022. "Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  4. Lin-Yun Huang & Jian-Feng Cai & Tien-Chen Lee & Min-Hang Weng, 2020. "A Study on the Development Trends of the Energy System with Blockchain Technology Using Patent Analysis," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
  5. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
  6. Bicudo, Edison & Faulkner, Alex & Li, Phoebe, 2021. "Sociotechnical alignment in biomedicine: The 3D bioprinting market beyond technology convergence," Technology in Society, Elsevier, vol. 66(C).
  7. Kangas, H.L. & Ollikka, K. & Ahola, J. & Kim, Y., 2021. "Digitalisation in wind and solar power technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  8. Lee, Hyunmin, 2023. "Converging technology to improve firm innovation competencies and business performance: Evidence from smart manufacturing technologies," Technovation, Elsevier, vol. 123(C).
  9. Yuan Zhou & Xin Li & Rasmus Lema & Frauke Urban, 2016. "Comparing the knowledge bases of wind turbine firms in Asia and Europe: Patent trajectories, networks, and globalisation," Science and Public Policy, Oxford University Press, vol. 43(4), pages 476-491.
  10. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
  11. Sampaio, Priscila Gonçalves Vasconcelos & González, Mario Orestes Aguirre & de Vasconcelos, Rafael Monteiro & dos Santos, Marllen Aylla Teixeira & de Toledo, José Carlos & Pereira, Jonathan Paulo Pinh, 2018. "Photovoltaic technologies: Mapping from patent analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 215-224.
  12. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2020. "The overlooked citations: Investigating the impact of ignoring citations to published patent applications," Journal of Informetrics, Elsevier, vol. 14(1).
  13. Eilers, Kathi & Frischkorn, Jonas & Eppinger, Elisabeth & Walter, Lothar & Moehrle, Martin G., 2019. "Patent-based semantic measurement of one-way and two-way technology convergence: The case of ultraviolet light emitting diodes (UV-LEDs)," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 341-353.
  14. Sebastian Eidam & Anja Redenz & David Sonius & Nicole vom Stein, 2017. "Ubiquitous Healthcare — Do the Health and Information Technology Sectors Converge?," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-23, December.
  15. Jeon, Eunji & Yoon, Naeun & Sohn, So Young, 2023. "Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  16. Noh, Heeyong & Song, Young-Keun & Lee, Sungjoo, 2016. "Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations," Telecommunications Policy, Elsevier, vol. 40(10), pages 956-970.
  17. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
  18. Li, Xin & Wang, Yan, 2024. "A novel integrated approach for quantifying the convergence of disruptive technologies from science to technology," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  19. Kyunam Kim, 2017. "Impact of Firms’ Cooperative Innovation Strategy on Technological Convergence Performance: The Case of Korea’s ICT Industry," Sustainability, MDPI, vol. 9(9), pages 1-22, September.
  20. Heo, Pil Sun & Lee, Duk Hee, 2019. "Evolution patterns and network structural characteristics of industry convergence," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 405-426.
  21. Jungpyo Lee & So Young Sohn, 2021. "Recommendation system for technology convergence opportunities based on self-supervised representation learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 1-25, January.
  22. 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).
  23. Zhu, Chen & Motohashi, Kazuyuki, 2022. "Identifying the technology convergence using patent text information: A graph convolutional networks (GCN)-based approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  24. Yachu Wang & Renyong Hou, 2024. "The Influence of the Convergence of Digital and Green Technologies on Regional Total Factor Productivity: Evidence from 30 Provinces in China," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
  25. Li, Yung-Ta & Huang, Mu-Hsuan & Chen, Dar-Zen, 2014. "Positioning and shifting of technology focus for integrated device manufacturers by patent perspectives," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 363-375.
  26. Yuan Zhou & Meijuan Pan & Frauke Urban, 2018. "Comparing the International Knowledge Flow of China’s Wind and Solar Photovoltaic (PV) Industries: Patent Analysis and Implications for Sustainable Development," Sustainability, MDPI, vol. 10(6), pages 1-34, June.
  27. Yoon, Janghyeok & Park, Hyunseok & Seo, Wonchul & Lee, Jae-Min & Coh, Byoung-youl & Kim, Jonghwa, 2015. "Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 153-167.
  28. Daim, Tugrul U. & Yoon, Byung-Sung & Lindenberg, John & Grizzi, Robert & Estep, Judith & Oliver, Terry, 2018. "Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 49-66.
  29. Sajad Ashouri & Anne-Laure Mention & Kosmas X. Smyrnios, 2021. "Anticipation and analysis of industry convergence using patent-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5727-5758, July.
  30. Julia Cohen & Carina Marques & Joana Lameira & Maria José Sousa & Manuel Au-Yong-Oliveira, 2020. "The Interrelationship between Corporate Social Responsibility and Strategic Innovation In Aveiro-based Startups," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 11(3), pages 65-86, December.
  31. Aydemir, Nisa Yazici & Huang, Wan-Ling & Welch, Eric W., 2022. "Late-stage academic entrepreneurship: Explaining why academic scientists collaborate with industry to commercialize their patents," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  32. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
  33. Kim, Tae San & Sohn, So Young, 2020. "Machine-learning-based deep semantic analysis approach for forecasting new technology convergence," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  34. Hélène Dernis & Mariagrazia Squicciarini & Roberto Pinho, 2016. "Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a ‘burst’ analysis-based approach," The Journal of Technology Transfer, Springer, vol. 41(5), pages 930-960, October.
  35. Worasak Klongthong & Veera Muangsin & Chupun Gowanit & Nongnuj Muangsin, 2021. "A Patent Analysis to Identify Emergent Topics and Convergence Fields: A Case Study of Chitosan," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
  36. Jong Wook Lee & So Young Sohn, 2021. "Patent data based search framework for IT R&D employees for convergence technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5687-5705, July.
  37. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  38. Chen ZHU & Kazuyuki MOTOHASHI, 2022. "Government R&D spending as a driving force of technology convergence," Discussion papers 22030, Research Institute of Economy, Trade and Industry (RIETI).
  39. Kwon, Deuksin & Lee, Ha Young & Cho, Joon Hyung & Sohn, So Young, 2023. "Effect of an open patent pool strategy on technology innovation in terms of creating shared value," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  40. Seo, Wonchul & Afifuddin, Mokh, 2024. "Developing a supervised learning model for anticipating potential technology convergence between technology topics," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  41. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
  42. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
  43. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
  44. Wang, Lili & Jiang, Shan & Zhang, Shiyun, 2020. "Mapping technological trajectories and exploring knowledge sources: A case study of 3D printing technologies," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  45. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
  46. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2018. "Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments," Journal of Informetrics, Elsevier, vol. 12(1), pages 259-270.
  47. Chul Lee & Gunno Park & Jina Kang, 2018. "The impact of convergence between science and technology on innovation," The Journal of Technology Transfer, Springer, vol. 43(2), pages 522-544, April.
  48. Song, Kisik & Kim, Kyuwoong & Lee, Sungjoo, 2018. "Identifying promising technologies using patents: A retrospective feature analysis and a prospective needs analysis on outlier patents," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 118-132.
  49. Jie Liu, 2024. "“Divergent” cross-domain stretching for technology fusion: validating the knowledge partition search model using patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3023-3043, June.
  50. Niemann, Helen & Moehrle, Martin G. & Frischkorn, Jonas, 2017. "Use of a new patent text-mining and visualization method for identifying patenting patterns over time: Concept, method and test application," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 210-220.
  51. Ying Tang & Xuming Lou & Zifeng Chen & Chengjin Zhang, 2020. "A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
  52. Carmona-Lavado, Antonio & Gimenez-Fernandez, Elena M. & Vlaisavljevic, Vesna & Cabello-Medina, Carmen, 2023. "Cross-industry innovation: A systematic literature review," Technovation, Elsevier, vol. 124(C).
  53. 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.
  54. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
  55. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
  56. Kyebambe, Moses Ntanda & Cheng, Ge & Huang, Yunqing & He, Chunhui & Zhang, Zhenyu, 2017. "Forecasting emerging technologies: A supervised learning approach through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 236-244.
  57. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  58. Daniel de Cerqueira Lima e Penalva Santos & Juliana Berendt Ihler & Laene Oliveira Soares & Yana Amaral Alves & Cristina Gomez Souza & Ronney Arismel Mancebo Boloy, 2022. "Global Trends and Opportunities in Hybrid Microgrid Systems Using Renewable Energies," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 263-273, July.
  59. Angelou, Konstantinos & Maragakis, Michael & Argyrakis, Panos, 2019. "A structural analysis of the patent citation network by the k-shell decomposition method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 476-483.
  60. Nicola Melluso & Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Rapid detection of fast innovation under the pressure of COVID-19," Papers 2102.00197, arXiv.org.
  61. Qian Xu & Hua Cheng, 2021. "Research on the Evolution of Textile Technological Convergence in China," Sustainability, MDPI, vol. 13(5), pages 1-13, February.
  62. Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
  63. Na Liu & Jianqi Mao & Jiancheng Guan, 2020. "Knowledge convergence and organization innovation: the moderating role of relational embeddedness," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1899-1921, December.
  64. Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
  65. Puccetti, Giovanni & Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2023. "Technology identification from patent texts: A novel named entity recognition method," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  66. Chen Zhu & Kazuyuki Motohashi, 2023. "Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3035-3065, May.
  67. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
  68. Jinkuk Kim & Jungsub Yoon & Jeong-Dong Lee, 2021. "Dominant design and evolution of technological trajectories: The case of tank technology, 1915–1998," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 661-676, April.
  69. Kim, Yong Jin & Lee, Duk Hee, 2020. "Technology convergence networks for flexible display application: A comparative analysis of latecomers and leaders," Japan and the World Economy, Elsevier, vol. 55(C).
  70. Bhatt, Priyanka C. & Lai, Kuei-Kuei & Drave, Vinayak A. & Lu, Tzu-Chuen & Kumar, Vimal, 2023. "Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  71. Jinho Choi & Nina Shin & Yong Sik Chang, 2021. "Strategic Investment Decisions for Emerging Technology Fields in the Health Care Sector Based on M&A Analysis," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
  72. Chieh-Wa Tsai & Tung-Kuan Liu & Po-Wen Hsueh, 2020. "Patent Analysis of High Efficiency Tunneling Oxide Passivated Contact Solar Cells," Energies, MDPI, vol. 13(12), pages 1-16, June.
  73. Song, Chie Hoon & Elvers, David & Leker, Jens, 2017. "Anticipation of converging technology areas — A refined approach for the identification of attractive fields of innovation," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 98-115.
  74. Qiang Gao & Man Jiang, 2024. "Exploring technology fusion by combining latent Dirichlet allocation with Doc2vec: a case of digital medicine and machine learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4043-4070, July.
  75. 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).
  76. Yun, Siyeong & Song, Kisik & Kim, Chulhyun & Lee, Sungjoo, 2021. "From stones to jewellery: Investigating technology opportunities from expired patents," Technovation, Elsevier, vol. 103(C).
  77. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
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