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Cited by 331

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Conductive Hydrogels as Smart Materials for Flexible Electronic Devices

Rong, Qinfeng, Lei, Wenwei, Liu, Mingjie·2018·Chemistry – A European Journal

Abstract

Flexible conductive materials have gained considerable research interest in recent years because of their potential applications in flexible energy storage devices, sensors, touch panels, electronic skins, etc. With excellent flexibility, outstanding electric properties and tunable mechanical properties, conductive hydrogels as conductive materials offer plentiful insights and opportunities for flexible electronic devices. Numerous synthetic strategies have been developed to obtain various conductive hydrogels, and high‐performance flexible electronic devices based on these conductive hydrogels have been realized. This review provides a comprehensive overview of conductive‐hydrogel‐based flexible electronics, ranging from conductive hydrogels synthesis to several important flexible devices applications, including touch panels, sensors and energy storage. Finally, we provide new future research directions and perspectives for conductive‐hydrogel‐based flexible and portable electronic devices.

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Crossref · 10.1002/chem.201801302

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Metadata

Authors
Rong, Q., Lei, W., & Liu, M.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2018-07-30
Volume
24
Issue
64
Pages
16930-16943
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2803472552
Cited by
331
References
132
FWCI
9.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Conductive Hydrogels as Smart Materials for Flexible Electronic Devices. https://app.cochat.ai/papers/10.1002/chem.201801302
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Rong, Q., Lei, W., & Liu, M. (2018). Conductive Hydrogels as Smart Materials for Flexible Electronic Devices. Chemistry – A European Journal. https://doi.org/10.1002/chem.201801302

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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.