The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Design strategies for markedly enhancing energy efficiency in the electrocatalytic CO2 reduction reaction
Abstract
The review summarizes the recent strategies to improve energy efficiency of CO 2 electroreduction, a guiding metric for industrial application and economic feasibility, with emphasis on designing remarkable catalyst and advanced electrolysis system.
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
Electrocatalysis for the oxygen evolution reaction: recent development and future perspectives
Suen, N.-T., Hung, S.-F., Quan, Q., Zhang, N., Xu, Y.-J., & Chen, H. M. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00328a · Cited by 6,307
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
Self-citationA 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
Advances and challenges in understanding the electrocatalytic conversion of carbon dioxide to fuels
Birdja, Y. Y., Pérez-Gallent, E., Figueiredo, M. C., Göttle, A. J., Calle-Vallejo, F., & Koper, M. T. M. (2019) · Nature Energy · doi:10.1038/s41560-019-0450-y · Cited by 2,747
CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
General Techno-Economic Analysis of CO 2 Electrolysis Systems
Jouny, M., Luc, W., & Jiao, F. (2018) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.7b03514 · Cited by 1,628
Ionic Liquid–Mediated Selective Conversion of CO 2 to CO at Low Overpotentials
Rosen, B. A., Salehi-Khojin, A., Thorson, M. R., Zhu, W., Whipple, D. T., Kenis, P. J. A., & Masel, R. I. (2011) · Science · doi:10.1126/science.1209786 · Cited by 1,558
CO 2 electrolysis to multicarbon products at activities greater than 1 A cm −2
García de Arquer, F. P., Dinh, C.-T., Ozden, A., Wicks, J., McCallum, C., Kirmani, A. R., Nam, D.-H., Gabardo, C., Seifitokaldani, A., Wang, X., et al. (2020) · Science · doi:10.1126/science.aay4217 · Cited by 1,517
CO 2 electrolysis to multicarbon products in strong acid
Huang, J. E., Li, F., Ozden, A., Sedighian Rasouli, A., García de Arquer, F. P., Liu, S., Zhang, S., Luo, M., Wang, X., Lum, Y., et al. (2021) · Science · doi:10.1126/science.abg6582 · Cited by 1,359
Metadata
- Authors
- Lai, W., Qiao, Y., Zhang, J., Lin, Z., & Huang, H.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2022
- Volume
- 15
- Issue
- 9
- Pages
- 3603-3629
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W4285221145
- Cited by
- 373
- References
- 26
- FWCI
- 13.23
- 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: Design strategies for markedly enhancing energy efficiency in the electrocatalytic CO2 reduction reaction. https://app.cochat.ai/papers/10.1039/d2ee00472k
- The paper
- Lai, W., Qiao, Y., Zhang, J., Lin, Z., & Huang, H. (2022). Design strategies for markedly enhancing energy efficiency in the electrocatalytic CO2 reduction reaction. Energy & Environmental Science. https://doi.org/10.1039/d2ee00472k
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.