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Cited by 1,404

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

Metal–organic frameworks: Structures and functional applications

Jiao, Long, Seow, Joanne Yen Ru, Skinner, William Scott, Wang, Zhiyong U., Jiang, Hai-Long·2019·Materials Today

Abstract

Abstract Metal–organic frameworks (MOFs), constructed by organic linkers and metal nodes, are a new class of crystalline porous materials with significant application potentials. Featured with extremely high surface area, large porosity, tunable pore size, and flexible functionality, MOFs have gained extensive explorations as a highly versatile platform for functional applications in many research fields. This review presents an up-to-date summary ranging from the structural and physical properties of MOFs to their recent application advances including gas storage and separation, heterogeneous catalysis, chemical sensors, proton conductivity, biomedicine, and others. The structure–property relationships are particularly emphasized. Finally, the newly emerging research trends of MOFs and the unresolved challenges for functional applications are discussed in detail.

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Metadata

Authors
Jiao, L., Seow, J. Y. R., Skinner, W. S., Wang, Z. U., & Jiang, H.-L.
Venue
Materials Today
Publisher
Elsevier BV
Published
2019-07
Volume
27
Pages
43-68
ISSN
1369-7021 (ISSN-L)
OpenAlex
W2900777486
Cited by
1,404
References
6
FWCI
22.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal–organic frameworks: Structures and functional applications. https://app.cochat.ai/papers/10.1016/j.mattod.2018.10.038
The paper
Jiao, L., Seow, J. Y. R., Skinner, W. S., Wang, Z. U., & Jiang, H.-L. (2019). Metal–organic frameworks: Structures and functional applications. Materials Today. https://doi.org/10.1016/j.mattod.2018.10.038

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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.