The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Synergistic Effect between Metal–Nitrogen–Carbon Sheets and NiO Nanoparticles for Enhanced Electrochemical Water‐Oxidation Performance
Abstract
Identifying effective means to improve the electrochemical performance of oxygen‐evolution catalysts represents a significant challenge in several emerging renewable energy technologies. Herein, we consider metal–nitrogen–carbon sheets which are commonly used for catalyzing the oxygen‐reduction reaction (ORR), as the support to load NiO nanoparticles for the oxygen‐evolution reaction (OER). FeNC sheets, as the advanced supports, synergistically promote the NiO nanocatalysts to exhibit superior performance in alkaline media, which is confirmed by experimental observations and density functional theory (DFT) calculations. Our findings show the advantages in considering the support effect for designing highly active, durable, and cost‐effective OER electrocatalysts.
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
Mussel-inspired surface chemistry for multifunctional coatings
Lee, H., Dellatore, S. M., Miller, W. M., & Messersmith, P. B. (2007) · Science · doi:10.1126/science.1147241 · Cited by 10,965
The chemistry of two-dimensional layered transition metal dichalcogenide nanosheets
Chhowalla, M., Shin, H. S., Eda, G., Li, L.-J., Loh, K. P., & Zhang, H. (2013) · Nature Chemistry · doi:10.1038/nchem.1589 · Cited by 10,034
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
Liu, Y., Ai, K., & Lu, L. (2014) · Chemical Reviews · doi:10.1021/cr400407a · Cited by 4,794
High-Performance Electrocatalysts for Oxygen Reduction Derived from Polyaniline, Iron, and Cobalt
Wu, G., More, K. L., Johnston, C. M., & Zelenay, P. (2011) · Science · doi:10.1126/science.1200832 · Cited by 3,984
Enhancing Hydrogen Evolution Activity in Water Splitting by Tailoring Li + -Ni(OH) 2 -Pt Interfaces
Subbaraman, R., Tripkovic, D., Strmcnik, D., Chang, K.-C., Uchimura, M., Paulikas, A. P., Stamenkovic, V., & Markovic, N. M. (2011) · Science · doi:10.1126/science.1211934 · Cited by 3,135
Proton-coupled electron transfer
Huynh, M. H. V., & Meyer, T. J. (2007) · Chemical Reviews · doi:10.1021/cr0500030 · Cited by 1,659
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
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
Etched and doped Co9S8/graphene hybrid for oxygen electrocatalysis
Dou, S., Tao, L., Huo, J., Wang, S., & Dai, L. (2016) · Energy & Environmental Science · doi:10.1039/c6ee00054a · Cited by 836
Porous cobalt oxide nanoplates enriched with oxygen vacancies for oxygen evolution reaction
Xu, W., Lyu, F., Bai, Y., Gao, A., Feng, J., Cai, Z., & Yin, Y. (2018) · Nano Energy · doi:10.1016/j.nanoen.2017.11.022 · Cited by 513
Thangavel, P., Ha, M., Kumaraguru, S., Meena, A., Singh, A. N., Harzandi, A. M., & Kim, K. S. (2020) · Energy & Environmental Science · doi:10.1039/d0ee00877j · Cited by 303
Metadata
- Authors
- Wang, J., Li, K., Zhong, H., Xu, D., Wang, Z., Jiang, Z., Wu, Z., & Zhang, X.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2015-07-15
- Volume
- 54
- Issue
- 36
- Pages
- 10530-10534
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2159163776
- Cited by
- 323
- References
- 7
- FWCI
- 16.72
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Synergistic Effect between Metal–Nitrogen–Carbon Sheets and NiO Nanoparticles for Enhanced Electrochemical Water‐Oxidation Performance. https://app.cochat.ai/papers/10.1002/anie.201504358
- The paper
- Wang, J., Li, K., Zhong, H., Xu, D., Wang, Z., Jiang, Z., Wu, Z., & Zhang, X. (2015). Synergistic Effect between Metal–Nitrogen–Carbon Sheets and NiO Nanoparticles for Enhanced Electrochemical Water‐Oxidation Performance. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201504358
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.
