The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Engineering the Electrical Conductivity of Lamellar Silver‐Doped Cobalt(II) Selenide Nanobelts for Enhanced Oxygen Evolution
Abstract
Precisely engineering the electrical conductivity represents a promising strategy to design efficient catalysts towards oxygen evolution reaction (OER). Here, we demonstrate a versatile partial cation exchange method to fabricate lamellar Ag‐CoSe 2 nanobelts with controllable conductivity. The electrical conductivity of the materials was significantly enhanced by the addition of Ag+ cations of less than 1.0 %. Moreover, such a trace amount of Ag induced a negligible loss of active sites which was compensated through the effective generation of active sites as shown by the excellent conductivity. Both the enhanced conductivity and the retained active sites contributed to the remarkable electrocatalytic performance of the Ag‐CoSe 2 nanobelts. Relative to the CoSe 2 nanobelts, the as‐prepared Ag‐CoSe 2 nanobelts exhibited a higher current density and a lower Tafel slope towards OER. This strategy represents a rational design of efficient electrocatalysts through finely tuning their electrical conductivities.
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
Toward the rational design of non-precious transition metal oxides for oxygen electrocatalysis
Hong, W. T., Risch, M., Stoerzinger, K. A., Grimaud, A., Suntivich, J., & Shao-Horn, Y. (2015) · Energy & Environmental Science · doi:10.1039/c4ee03869j · Cited by 2,089
Kong, D., Wang, H., Lu, Z., & Cui, Y. (2014) · Journal of the American Chemical Society · doi:10.1021/ja501497n · Cited by 1,392
Metallic Nickel Nitride Nanosheets Realizing Enhanced Electrochemical Water Oxidation
Xu, K., Chen, P., Li, X., Tong, Y., Ding, H., Wu, X., Chu, W., Peng, Z., Wu, C., & Xie, Y. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5119495 · Cited by 1,115
Self-citationLow Overpotential in Vacancy-Rich Ultrathin CoSe2 Nanosheets for Water Oxidation
Liu, Y., Cheng, H., Lyu, M., Fan, S., Liu, Q., Zhang, W., Zhi, Y., Wang, C., Xiao, C., Wei, S., et al. (2014) · Journal of the American Chemical Society · doi:10.1021/ja5085157 · Cited by 1,094
Selenide‐Based Electrocatalysts and Scaffolds for Water Oxidation Applications
Xia, C., Jiang, Q., Zhao, C., Hedhili, M. N., & Alshareef, H. N. (2016) · Advanced Materials · doi:10.1002/adma.201503906 · Cited by 614
Cited by
3D Nitrogen‐Anion‐Decorated Nickel Sulfides for Highly Efficient Overall Water Splitting
Chen, P., Zhou, T., Zhang, M., Tong, Y., Zhong, C., Zhang, N., Zhang, L., Wu, C., & Xie, Y. (2017) · Advanced Materials · doi:10.1002/adma.201701584 · Cited by 643
Noble‐Metal‐Free Electrocatalysts for Oxygen Evolution
Lyu, F., Wang, Q., Choi, S. M., & Yin, Y. (2019) · Small · doi:10.1002/smll.201804201 · Cited by 533
Gas Bubbles in Electrochemical Gas Evolution Reactions
Zhao, X., Ren, H., & Luo, L. (2019) · Langmuir · doi:10.1021/acs.langmuir.9b00119 · Cited by 457
Self-citationRecent progress in transition metal selenide electrocatalysts for water splitting
Xia, X., Wang, L., Sui, N., Colvin, V. L., & Yu, W. W. (2020) · Nanoscale · doi:10.1039/d0nr02939d · Cited by 336
Approaching the activity limit of CoSe2 for oxygen evolution via Fe doping and Co vacancy
Dou, Y., He, C.-T., Zhang, L., Yin, H., Al-Mamun, M., Ma, J., & Zhao, H. (2020) · Nature Communications · doi:10.1038/s41467-020-15498-0 · Cited by 311
Metadata
- Authors
- Zhao, X., Zhang, H., Yan, Y., Cao, J., Li, X., Zhou, S., Peng, Z., & Zeng, J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2016-11-29
- Volume
- 56
- Issue
- 1
- Pages
- 328-332
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2559733883
- Cited by
- 210
- References
- 5
- FWCI
- 6.88
- 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: Engineering the Electrical Conductivity of Lamellar Silver‐Doped Cobalt(II) Selenide Nanobelts for Enhanced Oxygen Evolution. https://app.cochat.ai/papers/10.1002/anie.201609080
- The paper
- Zhao, X., Zhang, H., Yan, Y., Cao, J., Li, X., Zhou, S., Peng, Z., & Zeng, J. (2017). Engineering the Electrical Conductivity of Lamellar Silver‐Doped Cobalt(II) Selenide Nanobelts for Enhanced Oxygen Evolution. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201609080
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.