Analysis of Trends and Emerging Technologies in Water Electrolysis Research Based on a Computational Method: A Comparison with Fuel Cell Research
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- Kadier, Abudukeremu & Kalil, Mohd Sahaid & Abdeshahian, Peyman & Chandrasekhar, K. & Mohamed, Azah & Azman, Nadia Farhana & Logroño, Washington & Simayi, Yibadatihan & Hamid, Aidil Abdul, 2016. "Recent advances and emerging challenges in microbial electrolysis cells (MECs) for microbial production of hydrogen and value-added chemicals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 501-525.
- Ho, Jonathan C. & Saw, Ewe-Chai & Lu, Louis Y.Y. & Liu, John S., 2014. "Technological barriers and research trends in fuel cell technologies: A citation network analysis," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 66-79.
- Hedegaard, K. & Meibom, P., 2012. "Wind power impacts and electricity storage – A time scale perspective," Renewable Energy, Elsevier, vol. 37(1), pages 318-324.
- Graves, Christopher & Ebbesen, Sune D. & Mogensen, Mogens & Lackner, Klaus S., 2011. "Sustainable hydrocarbon fuels by recycling CO2 and H2O with renewable or nuclear energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 1-23, January.
- Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
- 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.
- Beccali, M. & Brunone, S. & Finocchiaro, P. & Galletto, J.M., 2013. "Method for size optimisation of large wind–hydrogen systems with high penetration on power grids," Applied Energy, Elsevier, vol. 102(C), pages 534-544.
- Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
- Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
- Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
- Naoki Shibata & Yuya Kajikawa & Yoshiyuki Takeda & Katsumori Matsushima, 2009. "Comparative study on methods of detecting research fronts using different types of citation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 571-580, March.
- Arho Suominen, 2014. "Phases of growth in a green tech research network: a bibliometric evaluation of fuel cell technology from 1991 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 51-72, July.
- 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.
- Takaya Ogawa & Mizutomo Takeuchi & Yuya Kajikawa, 2018. "Comprehensive Analysis of Trends and Emerging Technologies in All Types of Fuel Cells Based on a Computational Method," Sustainability, MDPI, vol. 10(2), pages 1-30, February.
- Frank M. Bass, 2004. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 50(12_supple), pages 1825-1832, December.
- Wang, Mingyong & Wang, Zhi & Gong, Xuzhong & Guo, Zhancheng, 2014. "The intensification technologies to water electrolysis for hydrogen production – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 573-588.
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- Doyeon Lee & Keunhwan Kim, 2021. "Research and Development Investment and Collaboration Framework for the Hydrogen Economy in South Korea," Sustainability, MDPI, vol. 13(19), pages 1-28, September.
- Boguslaw Pierozynski & Tomasz Mikolajczyk & Boguslaw Wojciechowski & Mateusz Luba, 2021. "An Innovative 500 W Alkaline Water Electrolyser System for the Production of Ultra-Pure Hydrogen and Oxygen Gases," Energies, MDPI, vol. 14(3), pages 1-11, January.
- Rosario Carbone & Concettina Marino & Antonino Nucara & Maria Francesca Panzera & Matilde Pietrafesa, 2019. "Electric Load Influence on Performances of a Composite Plant for Hydrogen Production from RES and its Conversion in Electricity," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
- Hu, Kewei & Fang, Jiakun & Ai, Xiaomeng & Huang, Danji & Zhong, Zhiyao & Yang, Xiaobo & Wang, Lei, 2022. "Comparative study of alkaline water electrolysis, proton exchange membrane water electrolysis and solid oxide electrolysis through multiphysics modeling," Applied Energy, Elsevier, vol. 312(C).
- Woong Hee Lee & Young-Jin Ko & Jung Hwan Kim & Chang Hyuck Choi & Keun Hwa Chae & Hansung Kim & Yun Jeong Hwang & Byoung Koun Min & Peter Strasser & Hyung-Suk Oh, 2021. "High crystallinity design of Ir-based catalysts drives catalytic reversibility for water electrolysis and fuel cells," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
- Yuya Kajikawa, 2022. "Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5571-5585, September.
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Keywords
water electrolysis; alkaline water electrolyzer; polymer electrolyte membrane water electrolyzer; solid oxide electrolyzer; microbial electrolyzers; hydrogen production; bibliometrics; citation network;All these keywords.
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