The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Morphology regulation of metal–organic framework-derived nanostructures for efficient oxygen evolution electrocatalysis
Abstract
A series of morphology-regulated oxygen-evolution electrocatalysts including nanosheets, nanoflowers, nanotubes and aggregations derived from Hofmann-type metal–organic frameworks have been developed and demonstrated efficient catalytic properties.
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Citations
Cites
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
A review on fundamentals for designing oxygen evolution electrocatalysts
Song, J., Wei, C., Huang, Z.-F., Liu, C., Zeng, L., Wang, X., & Xu, Z. J. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00607a · Cited by 2,936
Jin, H., Wang, J., Su, D., Wei, Z., Pang, Z., & Wang, Y. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5127165 · Cited by 1,765
Yan, Y., Li, C., Wu, Y., Gao, J., & Zhang, Q. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta03749d · Cited by 260
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Wu, Y., Li, Y., Gao, J., & Zhang, Q. (2021) · SusMat · doi:10.1002/sus2.3 · Cited by 319
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Metadata
- Authors
- Li, Y., Lu, M., Wu, Y., Ji, Q., Xu, H., Gao, J., Qian, G., & Zhang, Q.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 8
- Issue
- 35
- Pages
- 18215-18219
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W3048072455
- Cited by
- 207
- References
- 4
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, Y., Lu, M., Wu, Y., Ji, Q., Xu, H., Gao, J., Qian, G., & Zhang, Q. (2020). Morphology regulation of metal–organic framework-derived nanostructures for efficient oxygen evolution electrocatalysis. Journal of Materials Chemistry A. https://doi.org/10.1039/d0ta05866a
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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.
