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Mapping the technology diffusion of battery electric vehicle based on patent analysis: A perspective of global innovation systems

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Cited by:

  1. Li, Fangyi & Zhao, Zhewen & Li, Fei & Xie, Wu, 2024. "Carbon reduction effects of electric delivery vehicle adoption in Chinese cities: Gradient pattern and scenario analysis," Energy, Elsevier, vol. 309(C).
  2. Robby Dwianto Widyantara & Muhammad Adnan Naufal & Poetro Lebdo Sambegoro & Ignatius Pulung Nurprasetio & Farid Triawan & Djati Wibowo Djamari & Asep Bayu Dani Nandiyanto & Bentang Arief Budiman & Muh, 2021. "Low-Cost Air-Cooling System Optimization on Battery Pack of Electric Vehicle," Energies, MDPI, vol. 14(23), pages 1-14, November.
  3. Eslami, Hossein & Krishnan, Trichy, 2023. "New sustainable product adoption: The role of economic and social factors," Energy Policy, Elsevier, vol. 183(C).
  4. Qiwen Ye, 2024. "Extended DEMATEL method with intuitionistic fuzzy information: A case of electric vehicles," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-23, December.
  5. 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).
  6. Vázquez Rojo, Juan & Visintin, Stefano, 2024. "The US-China race for technological centrality: A network perspective," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 68-83.
  7. Yuan, Xiaodong & Li, Xiaotao, 2021. "The evolution of the industrial value chain in China's high-speed rail driven by innovation policies: A patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  8. Jiang, Li & Bai, Yu, 2022. "Strategic or substantive innovation? -The impact of institutional investors' site visits on green innovation evidence from China," Technology in Society, Elsevier, vol. 68(C).
  9. Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024. "Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering," MPRA Paper 123081, University Library of Munich, Germany.
  10. Annala, Salla & Ruggiero, Salvatore & Kangas, Hanna-Liisa & Honkapuro, Samuli & Ohrling, Tiina, 2022. "Impact of home market on business development and internationalization of demand response firms," Energy, Elsevier, vol. 242(C).
  11. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
  12. Wenmin Luo & Guiting Mu & Xianliang Wu & Wei Qin & Yingying Liu, 2024. "The Hotspots and Trends of Patented Technologies for Heavy Metal-Contaminated Soil Remediation: A Systematic Review," Agriculture, MDPI, vol. 14(5), pages 1-17, April.
  13. Ruoso, Ana Cristina & Ribeiro, José Luis Duarte, 2022. "An assessment of barriers and solutions for the deployment of electric vehicles in the Brazilian market," Transport Policy, Elsevier, vol. 127(C), pages 218-229.
  14. Jian Xue & YiXue Fan & Yang Lv, 2024. "The evolution of patent cooperation network for new energy vehicle power battery," SN Business & Economics, Springer, vol. 4(7), pages 1-17, July.
  15. Romano Alberto Acri & Silvia Barone & Paolo Cambula & Valter Cecchini & Maria Carmen Falvo & Jacopo Lepore & Matteo Manganelli & Federico Santi, 2021. "Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport," Energies, MDPI, vol. 14(17), pages 1-19, August.
  16. 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).
  17. Ren, Maohui & Zhou, Tao & Wang, ChenXi, 2024. "New energy vehicle innovation network, innovation resources agglomeration externalities and energy efficiency: Navigating industry chain innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  18. Ayrapetyan, David & Befort, Nicolas & Hermans, Frans, 2025. "From local markets to global legitimacy: A materialization perspective on technological innovation system's dynamics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(1).
  19. Yuan, Yuxin & Yuan, Xiaodong, 2024. "The advances and opportunities of developing solid-state battery technology: Based on the patent Information Relation Matrix," Energy, Elsevier, vol. 296(C).
  20. Sang Kwon Yi & Chie Hoon Song, 2025. "A Dual-Level Prediction Approach for Uncovering Technology Convergence Opportunities: The Case of Electric Vehicles," Sustainability, MDPI, vol. 17(8), pages 1-23, April.
  21. repec:osf:socarx:nftv3_v1 is not listed on IDEAS
  22. Jianhua Hou & Xiucai Yang & Haoyang Song & Haiyue Yao, 2023. "Will patent family be dormant? Research on the identification and characteristics of sleeping beauty’s patent family," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5361-5387, October.
  23. 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).
  24. 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.
  25. Sinigaglia, Tiago & Eduardo Santos Martins, Mario & Cezar Mairesse Siluk, Julio, 2022. "Technological evolution of internal combustion engine vehicle: A patent data analysis," Applied Energy, Elsevier, vol. 306(PA).
  26. Kwon, Kihan & Jo, Junhyeong & Min, Seungjae, 2021. "Multi-objective gear ratio and shifting pattern optimization of multi-speed transmissions for electric vehicles considering variable transmission efficiency," Energy, Elsevier, vol. 236(C).
  27. Leng, Zhihui & Sun, Han & Cheng, Jinhua & Wang, Hai & Yao, Zhen, 2021. "China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents," Resources Policy, Elsevier, vol. 73(C).
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