The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Nickel Doping in Atomically Thin Tin Disulfide Nanosheets Enables Highly Efficient CO2 Reduction
Abstract
Engineering electronic properties by elemental doping is a direct strategy to design efficient catalysts towards CO 2 electroreduction. Atomically thin SnS 2 nanosheets were modified by Ni doping for efficient electroreduction of CO 2. The introduction of Ni into SnS 2 nanosheets significantly enhanced the current density and Faradaic efficiency for carbonaceous product relative to pristine SnS 2 nanosheets. When the Ni content was 5 atm %, the Ni‐doped SnS 2 nanosheets achieved a remarkable Faradaic efficiency of 93 % for carbonaceous product with a current density of 19.6 mA cm−2 at −0.9 V vs. RHE. A mechanistic study revealed that the Ni doping gave rise to a defect level and lowered the work function of SnS 2 nanosheets, resulting in the promoted CO 2 activation and thus improved performance in CO 2 electroreduction.
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
Jiao, Y., Zheng, Y., Davey, K., & Qiao, S.-Z. (2016) · Nature Energy · doi:10.1038/nenergy.2016.130 · Cited by 1,196
Achieving Highly Efficient, Selective, and Stable CO2 Reduction on Nitrogen-Doped Carbon Nanotubes
Wu, J., Yadav, R. M., Liu, M., Sharma, P. P., Tiwary, C. S., Ma, L., Zou, X., Zhou, X.-D., Yakobson, B. I., Lou, J., et al. (2015) · ACS Nano · doi:10.1021/acsnano.5b01079 · Cited by 652
Long, R., Li, Y., Liu, Y., Chen, S., Zheng, X., Gao, C., He, C., Chen, N., Qi, Z., Song, L., et al. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b00452 · Cited by 571
Self-citationSulfur-Modulated Tin Sites Enable Highly Selective Electrochemical Reduction of CO2 to Formate
Zheng, X., De Luna, P., García de Arquer, F. P., Zhang, B., Becknell, N., Ross, M. B., Li, Y., Banis, M. N., Li, Y., Liu, M., et al. (2017) · Joule · doi:10.1016/j.joule.2017.09.014 · Cited by 515
Cited by
Electrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
Yang, H., Wu, Y., Li, G., Lin, Q., Hu, Q., Zhang, Q., Liu, J., & He, C. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b04907 · Cited by 788
Defect engineering in earth-abundant electrocatalysts for CO2 and N2 reduction
Wang, Q., Lei, Y., Wang, D., & Li, Y. (2019) · Energy & Environmental Science · doi:10.1039/c8ee03781g · Cited by 574
Electrocatalytic carbon dioxide reduction: from fundamental principles to catalyst design
Zhang, X., Guo, S.-X., Gandionco, K. A., Bond, A. M., & Zhang, J. (2020) · Materials Today Advances · doi:10.1016/j.mtadv.2020.100074 · Cited by 322
Metadata
- Authors
- Zhang, A., He, R., Li, H., Chen, Y., Kong, T., Li, K., Ju, H., Zhu, J., Zhu, W., & Zeng, J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2018-08-07
- Volume
- 57
- Issue
- 34
- Pages
- 10954-10958
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2810830133
- Cited by
- 241
- References
- 4
- FWCI
- 7.01
- 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: Nickel Doping in Atomically Thin Tin Disulfide Nanosheets Enables Highly Efficient CO2 Reduction. https://app.cochat.ai/papers/10.1002/anie.201806043
- The paper
- Zhang, A., He, R., Li, H., Chen, Y., Kong, T., Li, K., Ju, H., Zhu, J., Zhu, W., & Zeng, J. (2018). Nickel Doping in Atomically Thin Tin Disulfide Nanosheets Enables Highly Efficient CO2 Reduction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201806043
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.