The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Robust noble metal-based electrocatalysts for oxygen evolution reaction
Abstract
The oxygen evolution reaction (OER) is a kinetically sluggish anodic reaction that requires rationalized compositions and structures for achieving highly efficient and reliable noble metal-based electrocatalysts in acidic electrolyte.
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Cites
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3D Nitrogen‐Anion‐Decorated Nickel Sulfides for Highly Efficient Overall Water Splitting
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Cited by
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
Chen, F.-Y., Wu, Z.-Y., Adler, Z., & Wang, H. (2021) · Joule · doi:10.1016/j.joule.2021.05.005 · Cited by 1,284
Yu, L., Wu, L., McElhenny, B., Song, S., Luo, D., Zhang, F., Yu, Y., Chen, S., & Ren, Z. (2020) · Energy & Environmental Science · doi:10.1039/d0ee00921k · Cited by 877
Multifunctional Transition Metal‐Based Phosphides in Energy‐Related Electrocatalysis
Li, Y., Dong, Z., & Jiao, L. (2020) · Advanced Energy Materials · doi:10.1002/aenm.201902104 · Cited by 603
High-entropy alloys in electrocatalysis: from fundamentals to applications
Ren, J.-T., Chen, L., Wang, H.-Y., & Yuan, Z.-Y. (2023) · Chemical Society Reviews · doi:10.1039/d3cs00557g · Cited by 551
Metadata
- Authors
- Shi, Q., Zhu, C., Du, D., & Lin, Y.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 48
- Issue
- 12
- Pages
- 3181-3192
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2945411159
- Cited by
- 1,161
- References
- 55
- FWCI
- 4.77
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
