ReviewiScience2025
Green hydrogen value chain challenges and global readiness for a sustainable energy future.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Review
- Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production.iScience · 2026Article
- Green hydrogen pathways for a net-zero future: technologies, circular economy integration, life-cycle performance and safety dimensions.RSC advances · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Green hydrogen (GH) offers a sustainable fuel alternative for addressing global energy and climate goals. This study evaluates GH viability across five dimensions: technological advancement, economic feasibility and market potential, environmental impacts and resources dynamics, policy regulatory frameworks, and interdisciplinary collaborations. Recent advancements in electrolysis technologies and artificial intelligent driven process optimization have enhanced production efficiency and resource management. Despite increasing investments, GH faces challenges such as high electricity demand, water usage, and infrastructure constraints. A regional assessment using the Green Hydrogen Feasibility Index (GHFI) indicates that countries such as China, Germany, and the USA lead in readiness due to robust policies and investment, while others face implementation issues. The finding emphasizes the need for coordinated global regulation, infrastructure development, and digital integration to enhance GH scalability and sustainability. This work contributes a comprehensive framework for assessing GH deployment and highlights strategies to accelerate its role in achieving a net-zero energy future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.