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Cited by 561

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Metal–Covalent Organic Frameworks (MCOFs): A Bridge Between Metal–Organic Frameworks and Covalent Organic Frameworks

Dong, Jinqiao, Han, Xing, Liu, Yan, Li, Haiyang, Cui, Yong·2020·Angewandte Chemie International Edition

Abstract

Many sophisticated chemical and physical properties of porous materials strongly rely on the presence of the metal ions within the structures. Whereas homogeneous distribution of metals is conveniently realized in metal–organic frameworks (MOFs), the limited stability potentially restricts their practical implementation. From that perspective, the development of metal–covalent organic frameworks (MCOFs) may address these shortcomings by incorporating active metal species atop highly stable COF backbones. This Minireview highlights examples of MCOFs that tackle important issues from their design, synthesis, characterization to cutting‐edge applications.

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Crossref · 10.1002/anie.202004796

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Metadata

Authors
Dong, J., Han, X., Liu, Y., Li, H., & Cui, Y.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2020-05-27
Volume
59
Issue
33
Pages
13722-13733
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W3015494419
Cited by
561
References
45
FWCI
19.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal–Covalent Organic Frameworks (MCOFs): A Bridge Between Metal–Organic Frameworks and Covalent Organic Frameworks. https://app.cochat.ai/papers/10.1002/anie.202004796
The paper
Dong, J., Han, X., Liu, Y., Li, H., & Cui, Y. (2020). Metal–Covalent Organic Frameworks (MCOFs): A Bridge Between Metal–Organic Frameworks and Covalent Organic Frameworks. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202004796

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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.