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Cited by 543

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Metal sulphide semiconductors for photocatalytic hydrogen production

Zhang, Kai, Guo, Liejin·2013·Catalysis Science & Technology

Abstract

Photocatalytic hydrogen production using semiconductor materials is one of the ideal processes for direct solar energy conversion. Sulphide semiconductor photocatalysts have attracted much attention due to their excellent solar spectrum responses and high photocatalytic activities. This article presents recent research progress in the development of visible light driven sulphide photocatalysts, focusing on the expansion of solar spectrum response and enhancement of charge separation efficiency. As is known, the ultimate goal of photocatalytic hydrogen production is to meet the practical energy demand of human beings. Thus, design of highly efficient and low cost sulphide photocatalysts with excellent sunlight response is highly desired. So we also highlight the crucial issues in the development of highly efficient sulphide photocatalysts without noble metal cocatalysts. The present paper is expected to provide important scientific reference for future works. Finally, the challenges and perspectives in this area are also discussed.

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Crossref · 10.1039/c3cy00018d

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Metadata

Authors
Zhang, K., & Guo, L.
Venue
Catalysis Science & Technology
Published
2013
Volume
3
Issue
7
Pages
1672
ISSN
  • 2044-4753 (ISSN-L)
  • 2044-4761
OpenAlex
W2115901181
Cited by
543
References
4
FWCI
16.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal sulphide semiconductors for photocatalytic hydrogen production. https://app.cochat.ai/papers/10.1039/c3cy00018d
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Zhang, K., & Guo, L. (2013). Metal sulphide semiconductors for photocatalytic hydrogen production. Catalysis Science & Technology. https://doi.org/10.1039/c3cy00018d

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.