Scholarlink

<p>Green hydrogen technology, which produces hydrogen via water electrolysis powered by renewable energy, has emerged as a critical pathway toward carbon neutrality and become a global research hotspot. However, systematic mapping of its research evolution and knowledge structure remains insufficient. This study employs CiteSpace (v6.3.R2) to conduct scientometric analysis of 9545 Web of Science publications (2010–2024), examining publication trends, collaboration networks, co-citation relationships, and keyword evolution. Key findings include: (1) explosive growth from 43 publications (2010) to 3275 (2024), driven by escalating policy commitments; (2) a core-periphery collaboration structure in which China leads in volume but Germany, France, and Saudi Arabia occupy central brokerage positions; (3) moderate modular structure in the co-citation network with nascent cross-cluster convergence since 2020; and (4) a punctuated three-phase keyword transition from fundamental electrolysis research (2010–2016), through mechanistic optimisation (2017–2020), to system integration and deployment (2021–2024). These findings advance scientometric analysis from descriptive mapping to theoretical explanation, identifying challenges in international cooperation and knowledge fragmentation while charting emerging priorities in electrocatalysis, system-level optimisation, and techno-economic integration.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Global knowledge structures and evolutionary dynamics of green hydrogen technology research revealed by integrated scientometric analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月29日

查看全文
  • Peng Liu,
  • Fuzhi Wang,
  • Chunyan Chen

摘要

Green hydrogen technology, which produces hydrogen via water electrolysis powered by renewable energy, has emerged as a critical pathway toward carbon neutrality and become a global research hotspot. However, systematic mapping of its research evolution and knowledge structure remains insufficient. This study employs CiteSpace (v6.3.R2) to conduct scientometric analysis of 9545 Web of Science publications (2010–2024), examining publication trends, collaboration networks, co-citation relationships, and keyword evolution. Key findings include: (1) explosive growth from 43 publications (2010) to 3275 (2024), driven by escalating policy commitments; (2) a core-periphery collaboration structure in which China leads in volume but Germany, France, and Saudi Arabia occupy central brokerage positions; (3) moderate modular structure in the co-citation network with nascent cross-cluster convergence since 2020; and (4) a punctuated three-phase keyword transition from fundamental electrolysis research (2010–2016), through mechanistic optimisation (2017–2020), to system integration and deployment (2021–2024). These findings advance scientometric analysis from descriptive mapping to theoretical explanation, identifying challenges in international cooperation and knowledge fragmentation while charting emerging priorities in electrocatalysis, system-level optimisation, and techno-economic integration.