Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 272

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Advances and Challenges for the Electrochemical Reduction of CO2 to CO: From Fundamentals to Industrialization

Jin, Song, Hao, Zhimeng, Zhang, Kai, Yan, Zhenhua, Chen, Jun·2021·Angewandte Chemie

Abstract

The electrochemical carbon dioxide reduction reaction (CO 2 RR) provides an attractive approach to convert renewable electricity into fuels and feedstocks in the form of chemical bonds. Among the different CO 2 RR pathways, the conversion of CO 2 into CO is considered one of the most promising candidate reactions because of its high technological and economic feasibility. Integrating catalyst and electrolyte design with an understanding of the catalytic mechanism will yield scientific insights and promote this technology towards industrial implementation. Herein, we give an overview of recent advances and challenges for the selective conversion of CO 2 into CO. Multidimensional catalyst and electrolyte engineering for the CO 2 RR are also summarized. Furthermore, recent studies on the large‐scale production of CO are highlighted to facilitate industrialization of the electrochemical reduction of CO 2. To conclude, the remaining technological challenges and future directions for the industrial application of the CO 2 RR to generate CO are highlighted.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/ange.202101818

Cites

30 of 30 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 30 references

Cited by

See all 272

Metadata

Authors
Jin, S., Hao, Z., Zhang, K., Yan, Z., & Chen, J.
Venue
Angewandte Chemie
Publisher
Wiley
Published
2021-05-05
Volume
133
Issue
38
Pages
20795-20816
ISSN
  • 0044-8249 (ISSN-L)
  • 1521-3757
OpenAlex
W4252704113
Cited by
272
References
30
FWCI
6.35
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: Advances and Challenges for the Electrochemical Reduction of CO2 to CO: From Fundamentals to Industrialization. https://app.cochat.ai/papers/10.1002/ange.202101818
The paper
Jin, S., Hao, Z., Zhang, K., Yan, Z., & Chen, J. (2021). Advances and Challenges for the Electrochemical Reduction of CO2 to CO: From Fundamentals to Industrialization. Angewandte Chemie. https://doi.org/10.1002/ange.202101818

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.