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Cited by 557

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Metal-organic frameworks for direct electrochemical applications

Xu, Yuxia, Li, Qing, Xue, Huaiguo, Pang, Huan·2018·Coordination Chemistry Reviews

Abstract

Abstract Metal-organic frameworks are a class of functional porous materials. In recent years, metal-organic frameworks have become a hot research topic in the field of electrochemistry because of their controllable morphology, abundant pores, high specific surface area and versatility. Herein, we summarize the latest developments of metal-organic frameworks and metal-organic framework composites as electrode materials or catalysts for electrochemical applications such as batteries, supercapacitors, electrocatalysts and electrochemical sensors. The morphological and electrochemical properties of these promising metal-organic framework materials for their future development are discussed. Finally, based on the reported literature, we propose the future direction of metal-organic frameworks and metal-organic framework composites in the field of electrochemistry.

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Metadata

Authors
Xu, Y., Li, Q., Xue, H., & Pang, H.
Venue
Coordination Chemistry Reviews
Publisher
Elsevier BV
Published
2018-12
Volume
376
Pages
292-318
ISSN
0010-8545 (ISSN-L)
OpenAlex
W2888235376
Cited by
557
References
4
FWCI
22.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal-organic frameworks for direct electrochemical applications. https://app.cochat.ai/papers/10.1016/j.ccr.2018.08.010
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Xu, Y., Li, Q., Xue, H., & Pang, H. (2018). Metal-organic frameworks for direct electrochemical applications. Coordination Chemistry Reviews. https://doi.org/10.1016/j.ccr.2018.08.010

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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.