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The DOI matches its Crossref record; 256 of the 256 references it cites were found in a registry or an index.

Graphene oxide: A promising nanomaterial for energy and environmental applications

Open access
Li, Fen, Jiang, Xue, Zhao, Jijun, Zhang, Shengbai·2015·Nano Energy

Abstract

Graphene oxide (GO), the functionalized graphene with oxygen-containing chemical groups, has recently attracted resurgent interests because of its superior properties such as large surface area, mechanical stability, tunable electrical and optical properties. Moreover, the surface functional groups of hydroxyl, epoxy and carboxyl make GO an excellent candidate in coordinating with other materials or molecules. Owing to the expanded structural diversity and improved overall properties, GO and its composites hold great promise for versatile applications of energy storage/conversion and environment protection, including hydrogen storage materials, photocatalyst for water splitting, removal of air pollutants and water purification, as well as electrode materials for various lithium batteries and supercapacitors. In this review, we present an overview on the current successes, as well as the challenges, of the GO-based materials for energy and environmental applications.

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Crossref · 10.1016/j.nanoen.2015.07.014

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Metadata

Authors
Li, F., Jiang, X., Zhao, J., & Zhang, S.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2015-09
Volume
16
Pages
488-515
ISSN
2211-2855 (ISSN-L)
OpenAlex
W975137774
Cited by
674
References
256
FWCI
23.05
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Graphene oxide: A promising nanomaterial for energy and environmental applications. https://app.cochat.ai/papers/10.1016/j.nanoen.2015.07.014
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Li, F., Jiang, X., Zhao, J., & Zhang, S. (2015). Graphene oxide: A promising nanomaterial for energy and environmental applications. Nano Energy. https://doi.org/10.1016/j.nanoen.2015.07.014

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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.