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Technological barriers and research trends in fuel cell technologies: A citation network analysis

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Cited by:

  1. Napole, Cristian & Derbeli, Mohamed & Barambones, Oscar, 2021. "A global integral terminal sliding mode control based on a novel reaching law for a proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 301(C).
  2. Gnekpe, Christian & Plantec, Quentin, 2023. "Regulatory push-pull and technological knowledge dynamics of circular economy innovation," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  3. Najmeh Masoumi & Reza Khajavi, 2023. "A fuzzy classifier for evaluation of research topics by using keyword co-occurrence network and sponsors information," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1485-1512, March.
  4. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
  5. Yasutomo Takano & Yuya Kajikawa & Makoto Ando, 2017. "Trends and Typology of Emerging Antenna Propagation Technologies: Citation Network Analysis," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-19, February.
  6. Kosztyán, Zsolt T. & Csizmadia, Tibor & Katona, Attila I., 2021. "SIMILAR – Systematic iterative multilayer literature review method," Journal of Informetrics, Elsevier, vol. 15(1).
  7. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
  8. Flavia Filippin, 2021. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6443-6477, August.
  9. E. Tattershall & G. Nenadic & R. D. Stevens, 2021. "Modelling trend life cycles in scientific research using the Logistic and Gompertz equations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9113-9132, November.
  10. Rawat, Atul & Garg, Chandra Prakash & Sinha, Priyank, 2024. "Analysis of the key hydrogen fuel vehicles adoption barriers to reduce carbon emissions under net zero target in emerging market," Energy Policy, Elsevier, vol. 184(C).
  11. Lubna Zafar & Nayyer Masood & Samreen Ayaz, 2023. "Impact of field of study (FoS) on authors’ citation trend," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2557-2576, April.
  12. Samuel Simon Araya & Sobi Thomas & Andrej Lotrič & Simon Lennart Sahlin & Vincenzo Liso & Søren Juhl Andreasen, 2021. "Effects of Impurities on Pre-Doped and Post-Doped Membranes for High Temperature PEM Fuel Cell Stacks," Energies, MDPI, vol. 14(11), pages 1-18, May.
  13. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
  14. Frédéric Goulet & Matthieu Hubert, 2020. "Making a Place for Alternative Technologies: The Case of Agricultural Bio‐Inputs in Argentina," Review of Policy Research, Policy Studies Organization, vol. 37(4), pages 535-555, July.
  15. Mitja Mori & Rok Stropnik & Mihael Sekavčnik & Andrej Lotrič, 2021. "Criticality and Life-Cycle Assessment of Materials Used in Fuel-Cell and Hydrogen Technologies," Sustainability, MDPI, vol. 13(6), pages 1-29, March.
  16. Cristian Mejia & Yuya Kajikawa, 2018. "Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 883-904, March.
  17. Liao, Shu-Chun & Chou, Tzu-Chuan & Huang, Chen-Hao, 2022. "Revisiting the development trajectory of the digital divide: A main path analysis approach," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  18. Patrick S. W. Fong & Xuhua Chang & Qiang Chen, 2018. "Faculty patent assignment in the Chinese mainland: evidence from the top 35 patent application universities," The Journal of Technology Transfer, Springer, vol. 43(1), pages 69-95, February.
  19. Ogawa, Takaya & Kajikawa, Yuya, 2017. "Generating novel research ideas using computational intelligence: A case study involving fuel cells and ammonia synthesis," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 41-47.
  20. Takaya Ogawa & Mizutomo Takeuchi & Yuya Kajikawa, 2018. "Analysis of Trends and Emerging Technologies in Water Electrolysis Research Based on a Computational Method: A Comparison with Fuel Cell Research," Sustainability, MDPI, vol. 10(2), pages 1-24, February.
  21. Ba, Zhichao & Ma, Yaxue & Cai, Jinyao & Li, Gang, 2023. "A citation-based research framework for exploring policy diffusion: Evidence from China's new energy policies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  22. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  23. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
  24. Adamuthe, Amol C. & Thampi, Gopakumaran T., 2019. "Technology forecasting: A case study of computational technologies," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 181-189.
  25. Huenteler, Joern & Schmidt, Tobias S. & Ossenbrink, Jan & Hoffmann, Volker H., 2016. "Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 102-121.
  26. Ogawa, Takaya & Kajikawa, Yuya, 2015. "Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 469-475.
  27. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
  28. Wang, Chang & Geng, Hongjun & Sun, Rui & Song, Huiling, 2022. "Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining," Resources Policy, Elsevier, vol. 77(C).
  29. Kang, Dong Gyun & Lee, Dong Keun & Choi, Jong Min & Shin, Dong Kyu & Kim, Min Soo, 2020. "Study on the metal foam flow field with porosity gradient in the polymer electrolyte membrane fuel cell," Renewable Energy, Elsevier, vol. 156(C), pages 931-941.
  30. 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).
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