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A novel approach to forecast promising technology through patent analysis

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Cited by:

  1. 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.
  2. Shugang Li & Ziyi Li & Yixin Tang & Wenjing Zhao & Xiaoqi Kang & Lingling Zheng & Zhaoxu Yu, 2024. "Pioneering Technology Mining Research for New Technology Strategic Planning," Sustainability, MDPI, vol. 16(15), pages 1-26, August.
  3. 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.
  4. Serkan Altuntas & Zulfiye Erdogan & Turkay Dereli, 2020. "A clustering-based approach for the evaluation of candidate emerging technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1157-1177, August.
  5. Yuan Zhou & Fang Dong & Yufei Liu & Liang Ran, 2021. "A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 969-994, February.
  6. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
  7. Jung, Jaehoon & Kim, Sunhye & Yoon, Byungun, 2025. "A data-driven approach to establishing a patent strategy by generating a patent map based on generative topographic mapping," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
  8. Chakraborty, Swagata & Nijssen, Edwin J. & Valkenburg, Rianne, 2022. "A systematic review of industry-level applications of technology roadmapping: Evaluation and design propositions for roadmapping practitioners," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  9. Juite Wang, 2025. "Exploring technological landscape to uncover technological opportunities for immersive technologies in the Metaverse using patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(7), pages 3505-3536, July.
  10. Sajjad Shokouhyar & Mehrdad Maghsoudi & Shahrzad Khanizadeh & Saeid Jorfi, 2024. "Analyzing supply chain technology trends through network analysis and clustering techniques: a patent-based study," Annals of Operations Research, Springer, vol. 341(1), pages 313-348, October.
  11. Rhoden, Imke & Weller, Daniel & Voit, Ann-Katrin, 2021. "Spatio-temporal dynamics of European innovation: An exploratory approach via multivariate functional data cluster analysis," Ruhr Economic Papers 926, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  12. Chung, Jaemin & Ko, Namuk & Yoon, Janghyeok, 2021. "Inventor group identification approach for selecting university-industry collaboration partners," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  13. Dejian Yu & Zhaoping Yan, 2025. "Early detection of valuable technologies: a BP neural network involving patent-based indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(11), pages 5871-5891, November.
  14. Yuwen Chen & Peihu Zhu & Weiwei Deng & Xiaoming Huang & Jian Ma & Jin Qin, 2026. "Enhancing patent recommendations for product innovation: integrating industry relevance and technology trends with multi-view learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 131(3), pages 1801-1825, March.
  15. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
  16. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
  17. Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  18. Yoruk, Esin & Radosevic, Slavo & Fischer, Bruno, 2023. "Technological profiles, upgrading and the dynamics of growth: Country-level patterns and trajectories across distinct stages of development," Research Policy, Elsevier, vol. 52(8).
  19. Vesselkov, Alexandr & Hämmäinen, Heikki & Töyli, Juuso, 2018. "Technology and value network evolution in telehealth," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 207-222.
  20. Lijie Feng & Yilang Li & Zhenfeng Liu & Jinfeng Wang, 2020. "Idea Generation and New Direction for Exploitation Technologies of Coal-Seam Gas through Recombinative Innovation and Patent Analysis," IJERPH, MDPI, vol. 17(8), pages 1-21, April.
  21. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
  22. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
  23. Sylvia Novillo-Villegas & Ana Belén Tulcanaza-Prieto & Alexander X. Chantera & Christian Chimbo, 2025. "Exploring a Sustainable Pathway Towards Enhancing National Innovation Capacity from an Empirical Analysis," Sustainability, MDPI, vol. 17(15), pages 1-25, July.
  24. Dongwook Kim & Sungbum Kim, 2017. "The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews," Sustainability, MDPI, vol. 9(11), pages 1-45, November.
  25. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  26. Pereira, Cristiano Gonçalves & Lavoie, Joao Ricardo & Garces, Edwin & Basso, Fernanda & Dabić, Marina & Porto, Geciane Silveira & Daim, Tugrul, 2019. "Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 185-199.
  27. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2018. "Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 150-160.
  28. Junseok Lee & Ji-Ho Kang & Sunghae Jun & Hyunwoong Lim & Dongsik Jang & Sangsung Park, 2018. "Ensemble Modeling for Sustainable Technology Transfer," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
  29. Park, Sanghyun & Kim, Giyun & Lee, Sungjoo, 2026. "Evaluating the value of LLMs in patent-based technology intelligence: Toward increasing efficiency and reducing expert dependency," Technological Forecasting and Social Change, Elsevier, vol. 222(C).
  30. Lijie Feng & Kehui Liu & Jinfeng Wang & Kuo-Yi Lin & Ke Zhang & Luyao Zhang, 2022. "Identifying Promising Technologies of Electric Vehicles from the Perspective of Market and Technical Attributes," Energies, MDPI, vol. 15(20), pages 1-22, October.
  31. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
  32. Cammarano, Antonello & Varriale, Vincenzo & Michelino, Francesca & Caputo, Mauro, 2024. "Discovering technological opportunities of cutting-edge technologies: A methodology based on literature analysis and artificial neural network," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  33. Ventsislava Nikolova-Minkova, 2023. "Bulgarian and Foreign Patent Activity in Bulgaria and Bulgarian Patent Activity Abroad by Technological Areas and Fields for the Period 2010-2021," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 82-114.
  34. Yunkoo Cho & Young Jae Han & Jumi Hwang & Jiwon Yu & Sangbaek Kim & Chulung Lee & Sugil Lee & Kyung Pyo Yi, 2021. "Identifying Technology Opportunities for Electric Motors of Railway Vehicles with Patent Analysis," Sustainability, MDPI, vol. 13(5), pages 1-13, February.
  35. Culot, Giovanna & Battistella, Cinzia, 2024. "Future ecosystem business model tool: Design science and field test in the efuel ecosystem towards the sustainability transition," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  36. Song Yanhui & Lei Lixin, 2024. "Inventor bibliographic-patent-coupling analysis and inventor-patent-classification-coupling analysis: a comparative analysis based on NPE," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 745-765, February.
  37. Youngjae Choi & Sanghyun Park & Sungjoo Lee, 2021. "Identifying emerging technologies to envision a future innovation ecosystem: A machine learning approach to patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5431-5476, July.
  38. Graziela Salvan Cerveira & Jorge Lima de Magalhães & Adelaide Maria de Souza Antunes, 2022. "Status and Trends of Membrane Technology for Wastewater Treatment: A Patent Analysis," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
  39. Terrazas-Santamaria Diana & Mendoza-Palacios Saul & Berasaluce-Iza Julen, 2023. "An Alternative Approach to Frequency of Patent Technology Codes: The Case of Renewable Energy Generation," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-14, January.
  40. Shu-Hao Chang & Chin-Yuan Fan, 2020. "Using Patent Technology Networks to Observe Neurocomputing Technology Hotspots and Development Trends," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
  41. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
  42. Chung, Jaemin & Ko, Namuk & Kim, Hyeonsu & Yoon, Janghyeok, 2021. "Inventor profile mining approach for prospective human resource scouting," Journal of Informetrics, Elsevier, vol. 15(1).
  43. 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.
  44. Elona Marku & Manuel Castriotta & Michela Loi & Maria Chiara Di Guardo, 2021. "General Purpose Technology: The Blockchain Domain," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(11), pages 192-192, July.
  45. Nicola Amoroso & Annamaria Demarinis Loiotile & Ester Pantaleo & Giuseppe Conti & Shiva Loccisano & Sabina Tangaro & Alfonso Monaco & Roberto Bellotti, 2025. "An Italian Patent Multi-Label Classification System to Support the Innovation Demand and Supply Matching," Sustainability, MDPI, vol. 17(14), pages 1-27, July.
  46. 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).
  47. Koopo Kwon & Sungchan Jun & Yong-Jae Lee & Sanghei Choi & Chulung Lee, 2022. "Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap," Sustainability, MDPI, vol. 14(9), pages 1-30, April.
  48. Eunsook Jeon & Kyungkook Kim & Hyunjeong Park & Keuntae Cho, 2023. "Global Collaboration in Technology Sectors during the COVID-19 Pandemic: A Patent Review," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
  49. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  50. Gozuacik, Necip & Sakar, C. Okan & Ozcan, Sercan, 2023. "Technological forecasting based on estimation of word embedding matrix using LSTM networks," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
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