Akademik Veri Yönetim Sistemi
Green Energy and Technology, Springer International Publishing Ag, ss.187-230, 2026
This research presents a systematic bibliometric analysis of artificial intelligence applications in hydrogen energy systems. The study examines 430 publications from the Web of Science database spanning 2011–2025. Through quantitative methods and network visualization techniques using VOSviewer, the research identifies key contributors, institutional collaborations, and thematic structures within this domain. The analysis reveals the temporal evolution of research activities, geographic distribution of scientific output, and conceptual frameworks that characterize the integration of artificial intelligence into hydrogen energy technologies.