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Cited by 264

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Graphene-based polyaniline nanocomposites: preparation, properties and applications

Wang, Li, Lu, Xingping, Lei, Shengbin, Song, Yonghai·2014·J. Mater. Chem. A

Abstract

Graphene is very popular in recent years, due to its unique electrical, thermal, mechanical, optical and electrochemical properties. With these useful advantages, graphene has been used as a substance to incorporate various kinds of functional materials. Among them, graphene-based polyaniline (PANI) nanocomposites have attracted a great deal of interest due to their new properties or enhanced performance during the past few years. This is because PANI is a useful conducting polymer that has been widely used for electronic, optical and electrochemical applications owing to its low cost, good environmental stability, interesting electroactivity, high pseudocapacitance and unusual doping/dedoping chemistry. This review discusses the current development of graphene-based PANI nanocomposites. After introduction of the properties of graphene, we summarize various methods to synthesize graphene-based PANI nanocomposites, as well as their enhanced properties. Finally, the applications of graphene-based PANI nanocomposites, such as supercapacitors, sensing platforms, fuel cells, solar cells, electrochromic devices, lithium ion batteries and so on, are described.

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Metadata

Authors
Wang, L., Lu, X., Lei, S., & Song, Y.
Venue
J. Mater. Chem. A
Published
2014
Volume
2
Issue
13
Pages
4491-4509
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W2041586794
Cited by
264
References
5
FWCI
15.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Graphene-based polyaniline nanocomposites: preparation, properties and applications. https://app.cochat.ai/papers/10.1039/c3ta13462h
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Wang, L., Lu, X., Lei, S., & Song, Y. (2014). Graphene-based polyaniline nanocomposites: preparation, properties and applications. J. Mater. Chem. A. https://doi.org/10.1039/c3ta13462h

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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.