The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Development of MOF-Derived Carbon-Based Nanomaterials for Efficient Catalysis
Abstract
Carbon-based nanomaterials have been widely used as catalysts or catalyst supports in the chemical industry or for energy or environmental applications due to their fascinating properties. High surface areas, tunable porosity, and functionalization are considered to be crucial to enhance the catalytic performance of carbon-based materials. Recently, the newly emerging metal–organic frameworks (MOFs) built from metal ions and polyfunctional organic ligands have proved to be promising self-sacrificing templates and precursors for preparing various carbon-based nanomaterials, benefiting from their high BET surface areas, abundant metal/organic species, large pore volumes, and extraordinary tunability of structures and compositions. In comparison with other carbon-based catalysts, MOF-derived carbon-based nanomaterials have great advantages in terms of tailorable morphologies and hierarchical porosity and easy functionalization with other heteroatoms and metal/metal oxides, which make them highly efficient as catalysts directly or as catalyst supports for numerous important reactions. In this perspective, we intend to give readers a survey of the research advances in the use of MOFs as self-sacrificing templates and precursors to prepare carbon-based nanomaterials, mainly including heteroatom-doped porous carbons and metal/metal oxide decorated porous carbons for applications as catalysts in energy and environment-related electrocatalysis and traditional heterogeneous catalysis. Finally, some perspectives are provided for future developments and directions of MOF-derived carbon-based materials for catalysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Georgakilas, V., Perman, J. A., Tucek, J., & Zboril, R. (2015) · Chemical Reviews · doi:10.1021/cr500304f · Cited by 2,147
The Fischer-Tropsch process: 1950-2000
Dry, M. E. (2002) · Catalysis Today · doi:10.1016/s0920-5861(01)00453-9 · Cited by 2,061
Wu, H. B., Xia, B. Y., Yu, L., Yu, X.-Y., & Lou, X. W. (2015) · Nature Communications · doi:10.1038/ncomms7512 · Cited by 1,434
High oxygen-reduction activity and durability of nitrogen-doped graphene
Geng, D., Chen, Y., Chen, Y., Li, Y., Li, R., Sun, X., Ye, S., & Knights, S. (2011) · Energy & Environmental Science · doi:10.1039/c0ee00326c · Cited by 1,219
Self-citationJiao, L., Zhou, Y.-X., & Jiang, H.-L. (2016) · Chemical Science · doi:10.1039/c5sc04425a · Cited by 798
You, B., Jiang, N., Sheng, M., Gul, S., Yano, J., & Sun, Y. (2015) · Chemistry of Materials · doi:10.1021/acs.chemmater.5b02877 · Cited by 631
Zhang, H., Ma, Z., Duan, J., Liu, H., Liu, G., Wang, T., Chang, K., Li, M., Shi, L., Meng, X., et al. (2016) · ACS Nano · doi:10.1021/acsnano.5b05728 · Cited by 491
Cited by
Recent Advances in Electrocatalytic Hydrogen Evolution Using Nanoparticles
Zhu, J., Hu, L., Zhao, P., Lee, L. Y. S., & Wong, K.-Y. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00248 · Cited by 3,133
Support and Interface Effects in Water‐Splitting Electrocatalysts
Zhang, J., Zhang, Q., & Feng, X. (2019) · Advanced Materials · doi:10.1002/adma.201808167 · Cited by 916
Design Strategies toward Advanced MOF‐Derived Electrocatalysts for Energy‐Conversion Reactions
Liu, J., Zhu, D., Guo, C., Vasileff, A., & Qiao, S. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201700518 · Cited by 668
Wang, C., Kaneti, Y. V., Bando, Y., Lin, J., Liu, C., Li, J., & Yamauchi, Y. (2018) · Materials Horizons · doi:10.1039/c8mh00133b · Cited by 533
Mukherjee, S., Cullen, D. A., Karakalos, S., Liu, K., Zhang, H., Zhao, S., Xu, H., More, K. L., Wang, G., & Wu, G. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.03.059 · Cited by 474
Metadata
- Authors
- Shen, K., Chen, X., Chen, J., & Li, Y.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-08-08
- Volume
- 6
- Issue
- 9
- Pages
- 5887-5903
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2488813449
- Cited by
- 1,334
- References
- 7
- FWCI
- 51.15
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.