The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A High‐Performance Electrocatalyst for Oxygen Evolution Reaction: LiCo0.8Fe0.2O2
Abstract
Layered LiCo0.8 Fe0.2 O2 demonstrates dramatically enhanced oxygen evolution reaction (OER) activity and durability in an alkaline solution over LiCoO2 and other reported state-of-the-art catalysts, including benchmark IrO2 . This superior performance is attributed to Fe-doping-induced synergistic effects.
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
Shannon, R. D. (1976) · Acta Crystallographica Section A · doi:10.1107/s0567739476001551 · Cited by 66,145
Li-O2 and Li-S batteries with high energy storage
Bruce, P. G., Freunberger, S. A., Hardwick, L. J., & Tarascon, J.-M. (2012) · Nature Materials · doi:10.1038/nmat3191 · Cited by 9,479
Benchmarking Heterogeneous Electrocatalysts for the Oxygen Evolution Reaction
McCrory, C. C. L., Jung, S., Peters, J. C., & Jaramillo, T. F. (2013) · Journal of the American Chemical Society · doi:10.1021/ja407115p · Cited by 7,026
Computational high-throughput screening of electrocatalytic materials for hydrogen evolution
Greeley, J., Jaramillo, T. F., Bonde, J., Chorkendorff, I., & Nørskov, J. K. (2006) · Nature Materials · doi:10.1038/nmat1752 · Cited by 4,097
Highly defective CeO 2 as a promoter for efficient and stable water oxidation
Liang, F., Yu, Y., Zhou, W., Xu, X., & Zhu, Z. (2015) · Journal of Materials Chemistry A · doi:10.1039/c4ta05770h · Cited by 266
Self-citation
Cited by
Cheng, G., Kou, T., Zhang, J., Si, C., Gao, H., & Zhang, Z. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.05.043 · Cited by 349
Binary nickel–iron nitride nanoarrays as bifunctional electrocatalysts for overall water splitting
Jiang, M., Li, Y., Lu, Z., Sun, X., & Duan, X. (2016) · Inorganic Chemistry Frontiers · doi:10.1039/c5qi00232j · Cited by 164
Wang, X., Dai, J., Zhou, C., Guan, D., Wu, X., Zhou, W., & Shao, Z. (2021) · ACS Materials Letters · doi:10.1021/acsmaterialslett.1c00359 · Cited by 63
Self-citationEngineering of Aerogel-Based Electrocatalysts for Oxygen Evolution Reaction
Gao, C., Zhang, X., Zhan, J., & Cai, B. (2022) · Electrochemical Science Advances · doi:10.1002/elsa.202100113 · Cited by 15
Metadata
- Authors
- Zhu, Y., Zhou, W., Chen, Y., Yu, J., Liu, M., & Shao, Z.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-10-09
- Volume
- 27
- Issue
- 44
- Pages
- 7150-7155
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W1951775699
- Cited by
- 292
- References
- 5
- FWCI
- 9.87
- 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.