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Cited by 700

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Nanowire Electrodes for Electrochemical Energy Storage Devices

Mai, Liqiang, Tian, Xiaocong, Xu, Xu, Chang, Liang, Xu, Lin·2014·Chemical Reviews

Abstract

There are numerous electric energy storage techniques. Among them, electrochemical devices possess a lot of advantages, including low cost, long life span, high energy power density, good reversibility, and pollution-free operation. On the basis of the larger abundance resources and lower cost of sodium, sodium-based batteries possess the promising potential to meet the demands of large-scale energy storage. Since sodium-ion batteries are newly developed compared with LIBs, they require exploration of new materials and discovery of redox couples. Fortunately, the general technology of LIBs can be utilized to realize the high performance of sodium batteries. Thus, sodium-ion batteries have been considered as a future prospective candidate for reversible energy storage and conversion. Batteries can deliver a high energy density, but electrochemical capacitors, including electrical double-layer capacitors (EDLCs) and pseudocapacitors, are well known for their high power density.

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Metadata

Authors
Mai, L., Tian, X., Xu, X., Chang, L., & Xu, L.
Venue
Chemical Reviews
Published
2014-10-07
Volume
114
Issue
23
Pages
11828-11862
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2329239759
Cited by
700
References
6
FWCI
4.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanowire Electrodes for Electrochemical Energy Storage Devices. https://app.cochat.ai/papers/10.1021/cr500177a
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Mai, L., Tian, X., Xu, X., Chang, L., & Xu, L. (2014). Nanowire Electrodes for Electrochemical Energy Storage Devices. Chemical Reviews. https://doi.org/10.1021/cr500177a

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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.