The DOI matches its Crossref record; 166 of the 166 references it cites were found in a registry or an index.
Recent advances on electrocatalytic CO2 reduction to resources: Target products, reaction pathways and typical catalysts
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Citations
Cites
Carbon Dioxide Capture in Metal–Organic Frameworks
Sumida, K., Rogow, D. L., Mason, J. A., McDonald, T. M., Bloch, E. D., Herm, Z. R., Bae, T.-H., & Long, J. R. (2012) · Chemical Reviews · doi:10.1021/cr2003272 · Cited by 6,408
Improved Oxygen Reduction Activity on Pt 3 Ni(111) via Increased Surface Site Availability
Stamenkovic, V. R., Fowler, B., Mun, B. S., Wang, G., Ross, P. N., Lucas, C. A., & Marković, N. M. (2007) · Science · doi:10.1126/science.1135941 · Cited by 4,421
New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces
Kuhl, K. P., Cave, E. R., Abram, D. N., & Jaramillo, T. F. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21234j · Cited by 3,160
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
Catalysts and Reaction Pathways for the Electrochemical Reduction of Carbon Dioxide
Kortlever, R., Shen, J., Schouten, K. J. P., Calle-Vallejo, F., & Koper, M. T. M. (2015) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.5b01559 · Cited by 2,175
Hori, Y., Wakebe, H., Tsukamoto, T., & Koga, O. (1994) · Electrochimica Acta · doi:10.1016/0013-4686(94)85172-7 · Cited by 2,140
Electrocatalytic and homogeneous approaches to conversion of CO2to liquid fuels
Benson, E. E., Kubiak, C. P., Sathrum, A. J., & Smieja, J. M. (2009) · Chem. Soc. Rev. · doi:10.1039/b804323j · Cited by 2,059
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper
Li, C. W., Ciston, J., & Kanan, M. W. (2014) · Nature · doi:10.1038/nature13249 · Cited by 1,728
Accelerated discovery of CO2 electrocatalysts using active machine learning
Zhong, M., Tran, K., Min, Y., Wang, C., Wang, Z., Dinh, C.-T., De Luna, P., Yu, Z., Rasouli, A. S., Brodersen, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2242-8 · Cited by 1,531
Self-citation
Cited by
Hanson, E., Nwakile, C., & Hammed, V. O. (2025) · Results in Surfaces and Interfaces · doi:10.1016/j.rsurfi.2024.100381 · Cited by 308
Metadata
- Authors
- Lei, Y., Wang, Z., Bao, A., Tang, X., Huang, X., Yi, H., Zhao, S., Sun, T., Wang, J., & Gao, F.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 453
- Pages
- 139663
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W4303629836
- Cited by
- 267
- References
- 166
- FWCI
- 9.38
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Recent advances on electrocatalytic CO2 reduction to resources: Target products, reaction pathways and typical catalysts. https://app.cochat.ai/papers/10.1016/j.cej.2022.139663
- The paper
- Lei, Y., Wang, Z., Bao, A., Tang, X., Huang, X., Yi, H., Zhao, S., Sun, T., Wang, J., & Gao, F. (2023). Recent advances on electrocatalytic CO2 reduction to resources: Target products, reaction pathways and typical catalysts. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2022.139663
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.
