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Cited by 1,075

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Flexible graphene–polyaniline composite paper for high-performance supercapacitor

Cong, Huai-Ping, Ren, Xiao-Chen, Wang, Ping, Yu, Shu-Hong·2013·Energy & Environmental Science

Abstract

Free-standing graphene paper with a grey metallic luster has been fabricated for the first time, by a convenient one-step method on a large scale. Herein, the assembly of graphene oxide dispersion into ordered paper occurs simultaneously with the chemical reduction of graphene oxide to graphene. The graphene paper presents the advantages of good flexibility, low weight (0.2 g cm−3) and high electrical conductivity (15 Ω sq−1). Moreover, the size and shape of the graphene paper are freely exchanged for those of the Teflon substrate used. The flexible graphene–PANI paper subsequently exhibits excellent supercapacitor performance with an enhanced specific capacitance (763 F g−1) and good cycling stability by electropolymerization of PANI nanorods on the above graphene paper. The method presented here shows great promise for the development of low-cost electrode materials in potential energy storage devices.

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Metadata

Authors
Cong, H.-P., Ren, X.-C., Wang, P., & Yu, S.-H.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
4
Pages
1185
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2030976149
Cited by
1,075
References
2
FWCI
35.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Flexible graphene–polyaniline composite paper for high-performance supercapacitor. https://app.cochat.ai/papers/10.1039/c2ee24203f
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Cong, H.-P., Ren, X.-C., Wang, P., & Yu, S.-H. (2013). Flexible graphene–polyaniline composite paper for high-performance supercapacitor. Energy & Environmental Science. https://doi.org/10.1039/c2ee24203f

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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.