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Cited by 3,539

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

Graphene‐Like Carbon Nitride Nanosheets for Improved Photocatalytic Activities

Niu, Ping, Zhang, Lili, Liu, Gang, Cheng, Hui‐Ming·2012·Advanced Functional Materials
DOI 10.1002/adfm.201200922
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Abstract

“Graphitic” (g)‐C 3 N 4 with a layered structure has the potential of forming graphene‐like nanosheets with unusual physicochemical properties due to weak van der Waals forces between layers. Herein is shown that g‐C 3 N 4 nanosheets with a thickness of around 2 nm can be easily obtained by a simple top‐down strategy, namely, thermal oxidation etching of bulk g‐C 3 N 4 in air. Compared to the bulk g‐C 3 N 4, the highly anisotropic 2D‐nanosheets possess a high specific surface area of 306 m 2 g−1, a larger bandgap (by 0.2 eV), improved electron transport ability along the in‐plane direction, and increased lifetime of photoexcited charge carriers because of the quantum confinement effect. As a consequence, the photocatalytic activities of g‐C 3 N 4 nanosheets have been remarkably improved in terms of •OH radical generation and photocatalytic hydrogen evolution.

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Research works printed but not linked: 46

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Metadata

Authors
Niu, P., Zhang, L., Liu, G., & Cheng, H.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2012-07-05
Volume
22
Issue
22
Pages
4763-4770
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
DOI
10.1002/adfm.201200922
OpenAlex
W1987020734
Cited by
3,539
References
4
FWCI
40.09
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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CoChat. (2026). Citation check: Graphene‐Like Carbon Nitride Nanosheets for Improved Photocatalytic Activities. https://app.cochat.ai/papers/10.1002/adfm.201200922
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Niu, P., Zhang, L., Liu, G., & Cheng, H. (2012). Graphene‐Like Carbon Nitride Nanosheets for Improved Photocatalytic Activities. Advanced Functional Materials. https://doi.org/10.1002/adfm.201200922

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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.