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Trends and priority shifts in artificial intelligence technology invention: A global patent analysis

Citations

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Cited by:

  1. Zhu, Qingyuan & Sun, Chenhao & Xu, Chengzhen & Geng, Qianqian, 2025. "The impact of artificial intelligence on global energy vulnerability," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 15-27.
  2. N. A. Ganichev & O. B. Koshovets, 2021. "Forcing the Digital Economy: How will the Structure of Digital Markets Change as a Result of the COVID-19 Pandemic," Studies on Russian Economic Development, Springer, vol. 32(1), pages 11-22, January.
  3. Zhichao Ba & Kai Meng & Leilei Liu & Yujie Zhang, 2025. "How science-technology interactions affect technological innovation: the moderating role of topic divergence," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  4. Zhao, Xin & Zhai, Guoqing & Charles, Vincent & Gherman, Tatiana & Lee, Hyoungsuk & Pan, Tuan & Shang, Yuping, 2024. "Enhancing enterprise investment efficiency through artificial intelligence: The role of accounting information transparency," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
  5. Fang Qu & Wensen She, 2025. "Artificial Intelligence Technology and Regional Carbon Emission Performance: Does Energy Transition or Industrial Transformation Matter?," Sustainability, MDPI, vol. 17(5), pages 1-31, February.
  6. Podrecca, Matteo & Culot, Giovanna & Tavassoli, Sam & Orzes, Guido, 2024. "Artificial intelligence for climate change: a patent analysis in the manufacturing sector," Papers in Innovation Studies 2024/12, Lund University, CIRCLE - Centre for Innovation Research.
  7. Fujii, Hidemichi & Managi, Shunsuke, 2019. "Decomposition analysis of sustainable green technology inventions in China," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 10-16.
  8. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2021. "Detecting the labour-friendly nature of AI product innovation," DISCE - Working Papers del Dipartimento di Politica Economica dipe0017, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  9. Gavin Wang & Lynn Wu, 2025. "Artificial Intelligence, Lean Startup Method, and Product Innovations," Papers 2506.16334, arXiv.org, revised Aug 2025.
  10. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  11. Gokhan Ozkaya & Ayse Demirhan, 2023. "Analysis of Countries in Terms of Artificial Intelligence Technologies: PROMETHEE and GAIA Method Approach," Sustainability, MDPI, vol. 15(5), pages 1-27, March.
  12. Yamashita, Andre S. & Fujii, Hidemichi, 2022. "Trend and priority change of climate change mitigation technology in the global mining sector," Resources Policy, Elsevier, vol. 78(C).
  13. Jaehyuk Park, 2024. "Analyzing the direct role of governmental organizations in artificial intelligence innovation," The Journal of Technology Transfer, Springer, vol. 49(2), pages 437-465, April.
  14. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "May AI Revolution Be Labour-Friendly? Some Micro Evidence from the Supply Side," IZA Discussion Papers 14309, IZA Network @ LISER.
  15. Pan, Martin & Li, Daozheng & Wu, Hanrui & Lei, Pengfei, 2024. "Technological revolution and regulatory innovation: How governmental artificial intelligence adoption matters for financial regulation intensity," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  16. Zheng Zhang & Hidemichi Fujii, 2025. "A Global Analysis of Patent Invention Strategies in Automotive Technologies for Environmental Sustainability," Sustainability, MDPI, vol. 17(2), pages 1-16, January.
  17. Niklas Kühl & Max Schemmer & Marc Goutier & Gerhard Satzger, 2022. "Artificial intelligence and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2235-2244, December.
  18. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
  19. Byeongdeuk Jang & Jae-Yong Choung & Inje Kang, 2022. "Knowledge production patterns of China and the US: quantum technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5691-5719, October.
  20. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
  21. repec:rjr:romjef:v::y:2025:i:3:p:89-109 is not listed on IDEAS
  22. Na Liu & Philip Shapira & Xiaoxu Yue & Jiancheng Guan, 2021. "Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-20, December.
  23. Zhang, Xinchun & Yu, Qi & Liu, Jianxu & He, Ying & Xu, Aijia, 2024. "The application of industrial robots and changes in capital-labour income disparity in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 42-56.
  24. Zhang, Chen & Li, Rongrong & Wang, Qiang, 2026. "Artificial intelligence and sustainable development: A global nonlinear analysis of the moderating roles of human capital and renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 228(C).
  25. Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023. "The environmental effects of the “twin” green and digital transition in European regions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 877-918, April.
  26. Huang, Lei & Ladikas, Miltos & Schippl, Jens & He, Guangxi & Hahn, Julia, 2023. "Knowledge mapping of an artificial intelligence application scenario: A bibliometric analysis of the basic research of data-driven autonomous vehicles," Technology in Society, Elsevier, vol. 75(C).
  27. Behrens, Vanessa & Viete, Steffen, 2020. "A note on Germany's role in the fourth industrial revolution," Working Papers 09/2020, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
  28. Suguru TAMURA, 2019. "Results of a survey on standardization activities: Japanese institutions' standardization activities in 2017 (Implementation, knowledge source, organizational structure, and interest in artificial intelligence)," Policy Discussion Papers 19013, Research Institute of Economy, Trade and Industry (RIETI).
  29. Yagi, Michiyuki & Managi, Shunsuke, 2018. "Shadow price of patent stock as knowledge stock: Time and country heterogeneity," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 43-61.
  30. Lei Wang & Provash Sarker & Kausar Alam & Shahneoaj Sumon, 2021. "Artificial Intelligence and Economic Growth: A Theoretical Framework," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 68(4), pages 421-443, November.
  31. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.
  32. Suguru TAMURA, 2021. "Results of the Survey on Standardization Activity (2019): Situation of Standardization Activities in Business Entities and Other Institutions," Policy Discussion Papers 21015, Research Institute of Economy, Trade and Industry (RIETI).
  33. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
  34. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Management, Strategy and Innovation, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
  35. Alexander Kopka & Dirk Fornahl, 2024. "Artificial intelligence and firm growth — catch-up processes of SMEs through integrating AI into their knowledge bases," Small Business Economics, Springer, vol. 62(1), pages 63-85, January.
  36. V. V. Vertogradov & S. V. Shchelokova, 2025. "Comparative Competitive Analysis of Generative AI Chatbots in Russia and Worldwide," Studies on Russian Economic Development, Springer, vol. 36(5), pages 643-652, October.
  37. Jiang, Cuiqing & Zhou, Yiru & Chen, Bo, 2023. "Mining semantic features in patent text for financial distress prediction," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  38. Van Roy, Vincent & Vertesy, Daniel & Damioli, Giacomo, 2019. "AI and Robotics Innovation: a Sectoral and Geographical Mapping using Patent Data," GLO Discussion Paper Series 433, Global Labor Organization (GLO).
  39. Yulia Turovets & Konstantin Vishnevskiy & Artem Altynov, 2020. "How To Measure Ai: Trends, Challenges And Implications," HSE Working papers WP BRP 116/STI/2020, National Research University Higher School of Economics.
  40. Lapo Santarlasci & Armando Rungi & Loredana Fattorini & Nestor Maslej, 2025. "Owning the Intelligence: Global AI Patents Landscape and Europe's Quest for Technological Sovereignty," Papers 2512.19569, arXiv.org.
  41. 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).
  42. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
  43. Yang, Senmiao & Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Wang, Kun & Fu, Xiaowen, 2024. "Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective," Energy, Elsevier, vol. 300(C).
  44. Soyea Lee & Junseok Hwang & Eunsang Cho, 2022. "Comparing technology convergence of artificial intelligence on the industrial sectors: two-way approaches on network analysis and clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 407-452, January.
  45. Bai, Caiquan & Yao, Di & Xue, Qihang, 2025. "Does artificial intelligence suppress firms' greenwashing behavior? Evidence from robot adoption in China," Energy Economics, Elsevier, vol. 142(C).
  46. Choi, Jaemyoung & Lee, Sungsoo & Lee, Hakyeon, 2026. "Navigating the AI technology landscape from GitHub data," Technology in Society, Elsevier, vol. 84(C).
  47. Aleksei L. Kalinichenko & Nikita A. Paplavsky & Ivan V. Oseledets, 2025. "How to measure inventive speed? A new patent activity assessment dimension," The Journal of Technology Transfer, Springer, vol. 50(4), pages 1815-1839, August.
  48. Zhang, Fuyu & Wang, Qiang & Li, Rongrong, 2025. "How does clean energy reshape the relationship between artificial intelligence and carbon emissions? Evidence from renewable and nuclear energy," Energy Economics, Elsevier, vol. 149(C).
  49. Wang, Bo & Wang, Jianda & Dong, Kangyin & Nepal, Rabindra, 2024. "How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society," Energy Policy, Elsevier, vol. 186(C).
  50. Basnet, Anup & Elias, Maxim & Salganik-Shoshan, Galla & Walker, Thomas & Zhao, Yunfei, 2025. "Analyzing the market's reaction to AI narratives in corporate filings," International Review of Financial Analysis, Elsevier, vol. 105(C).
  51. Matheus Eduardo Leusin, 2022. "The Development of Al in Multinational Enterprises - Effects upon Technological Trajectories and Innovation Performance," Bremen Papers on Economics & Innovation 2201, University of Bremen, Faculty of Business Studies and Economics.
  52. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.
  53. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, December.
  54. Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2023. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3313-3335, June.
  55. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
  56. Wang, Jianda & Wang, Kun & Dong, Kangyin & Zhang, Shiqiu, 2023. "Assessing the role of financial development in natural resource utilization efficiency: Does artificial intelligence technology matter?," Resources Policy, Elsevier, vol. 85(PA).
  57. Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2022. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Papers 2201.07168, arXiv.org.
  58. Duch-Brown, Néstor & Gomez-Herrera, Estrella & Mueller-Langer, Frank & Tolan, Songül, 2022. "Market power and artificial intelligence work on online labour markets," Research Policy, Elsevier, vol. 51(3).
  59. Danning Mao & Hidemichi Fujii, 2023. "A Decomposition Analysis of the Energy System Patent with Blockchain Technology," Energies, MDPI, vol. 16(24), pages 1-18, December.
  60. Alexander V. Giczy & Nicholas A. Pairolero & Andrew A. Toole, 2022. "Identifying artificial intelligence (AI) invention: a novel AI patent dataset," The Journal of Technology Transfer, Springer, vol. 47(2), pages 476-505, April.
  61. Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
  62. Lidan Jiang & Jingyan Chen & Yuhan Bao & Fang Zou, 2022. "Exploring the patterns of international technology diffusion in AI from the perspective of patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5307-5323, September.
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