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Cited by 1,156

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

Electrical and Electrochemical Properties of Conducting Polymers

Open access
Le, Thanh-Hai, Kim, Yukyung, Yoon, Hyeonseok·2017·Polymers

Abstract

Conducting polymers (CPs) have received much attention in both fundamental and practical studies because they have electrical and electrochemical properties similar to those of both traditional semiconductors and metals. CPs possess excellent characteristics such as mild synthesis and processing conditions, chemical and structural diversity, tunable conductivity, and structural flexibility. Advances in nanotechnology have allowed the fabrication of versatile CP nanomaterials with improved performance for various applications including electronics, optoelectronics, sensors, and energy devices. The aim of this review is to explore the conductivity mechanisms and electrical and electrochemical properties of CPs and to discuss the factors that significantly affect these properties. The size and morphology of the materials are also discussed as key parameters that affect their major properties. Finally, the latest trends in research on electrochemical capacitors and sensors are introduced through an in-depth discussion of the most remarkable studies reported since 2003.

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Crossref · 10.3390/polym9040150

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Metadata

Authors
Le, T.-H., Kim, Y., & Yoon, H.
Venue
Polymers
Publisher
MDPI AG
Published
2017-04-23
Volume
9
Issue
4
Pages
150
ISSN
2073-4360 (ISSN-L)
OpenAlex
W2608235074
Cited by
1,156
References
67
FWCI
46.42
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Electrical and Electrochemical Properties of Conducting Polymers. https://app.cochat.ai/papers/10.3390/polym9040150
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Le, T.-H., Kim, Y., & Yoon, H. (2017). Electrical and Electrochemical Properties of Conducting Polymers. Polymers. https://doi.org/10.3390/polym9040150

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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.