The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
Photoredox catalysis over semiconductors for light-driven hydrogen peroxide production
Abstract
This critical review presents recent advances in light-driven H 2 O 2 production from the viewpoint of H 2 O 2 generation pathways.
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Cites
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Generation and Detection of Reactive Oxygen Species in Photocatalysis
Nosaka, Y., & Nosaka, A. Y. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00161 · Cited by 4,771
Metal-free efficient photocatalyst for stable visible water splitting via a two-electron pathway
Liu, J., Liu, Y., Liu, N., Han, Y., Zhang, X., Huang, H., Lifshitz, Y., Lee, S.-T., Zhong, J., & Kang, Z. (2015) · Science · doi:10.1126/science.aaa3145 · Cited by 4,468
Self-citationS-Scheme Heterojunction Photocatalyst
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All‐Solid‐State Z‐Scheme Photocatalytic Systems
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Cocatalysts for Selective Photoreduction of CO2into Solar Fuels
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Research opportunities to advance solar energy utilization
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Cited by
Photocatalytic H2O2 production Systems: Design strategies and environmental applications
Chen, Z., Yao, D., Chu, C., & Mao, S. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.138489 · Cited by 482
Metadata
- Authors
- Zeng, X., Liu, Y., Hu, X., & Zhang, X.
- Venue
- Green Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2021
- Volume
- 23
- Issue
- 4
- Pages
- 1466-1494
- ISSN
- 1463-9262 (ISSN-L)
- 1463-9270
- OpenAlex
- W3121464807
- Cited by
- 450
- References
- 112
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zeng, X., Liu, Y., Hu, X., & Zhang, X. (2021). Photoredox catalysis over semiconductors for light-driven hydrogen peroxide production. Green Chemistry. https://doi.org/10.1039/d0gc04236f
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.