The DOI matches its Crossref record; 167 of the 167 references it cites were found in a registry or an index.
High valence metals engineering strategies of Fe/Co/Ni-based catalysts for boosted OER electrocatalysis
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Citations
Cites
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
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Universality in Oxygen Evolution Electrocatalysis on Oxide Surfaces
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Identification of Highly Active Fe Sites in (Ni,Fe)OOH for Electrocatalytic Water Splitting
Friebel, D., Louie, M. W., Bajdich, M., Sanwald, K. E., Cai, Y., Wise, A. M., Cheng, M.-J., Sokaras, D., Weng, T.-C., Alonso-Mori, R., et al. (2015) · Journal of the American Chemical Society · doi:10.1021/ja511559d · Cited by 2,732
Water photolysis at 12.3% efficiency via perovskite photovoltaics and Earth-abundant catalysts
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Cited by
Unlocking Efficiency: Minimizing Energy Loss in Electrocatalysts for Water Splitting
Li, W., Liu, Y., Azam, A., Liu, Y., Yang, J., Wang, D., Sorrell, C. C., Zhao, C., & Li, S. (2024) · Advanced Materials · doi:10.1002/adma.202404658 · Cited by 162
Metadata
- Authors
- Li, L., Cao, X., Huo, J., Qu, J., Chen, W., Liu, C., Zhao, Y., Liu, H., & Wang, G.
- Venue
- Journal of Energy Chemistry
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 76
- Pages
- 195-213
- ISSN
- 2095-4956 (ISSN-L)
- OpenAlex
- W4296202466
- Cited by
- 404
- References
- 167
- FWCI
- 14.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: High valence metals engineering strategies of Fe/Co/Ni-based catalysts for boosted OER electrocatalysis. https://app.cochat.ai/papers/10.1016/j.jechem.2022.09.022
- The paper
- Li, L., Cao, X., Huo, J., Qu, J., Chen, W., Liu, C., Zhao, Y., Liu, H., & Wang, G. (2023). High valence metals engineering strategies of Fe/Co/Ni-based catalysts for boosted OER electrocatalysis. Journal of Energy Chemistry. https://doi.org/10.1016/j.jechem.2022.09.022
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.
