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Cited by 228

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Photochemical and Electrochemical Carbon Dioxide Utilization with Organic Compounds

Cao, Yu, He, Xing, Wang, Ning, Li, Hong‐Ru, He, Liang‐Nian·2018·Chinese Journal of Chemistry

Abstract

In the last few years, photochemical and electrochemical CO 2 transformations have attracted increasing attention in response to topical interest in renewable energy and green chemistry. The present minireview offers an overview about the current approaches for the photochemical and electrochemical carbon dioxide fixation with organic compounds. Valuable products, including carboxylic acids and heterocyclic compounds, are accessible through carboxylation and carboxylative cyclization, respectively. In photochemical and electrochemical processes, photo‐ or electro‐induced radical ions or other high‐energy organic compounds are considered as key intermediates to react with CO 2. Besides, activation of CO 2 to produce radical anion has also been reported.

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Crossref · 10.1002/cjoc.201700742

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Metadata

Authors
Cao, Y., He, X., Wang, N., Li, H., & He, L.
Venue
Chinese Journal of Chemistry
Publisher
Wiley
Published
2018-05-17
Volume
36
Issue
7
Pages
644-659
ISSN
  • 1001-604X (ISSN-L)
  • 1614-7065
OpenAlex
W2800466461
Cited by
228
References
5
FWCI
7.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photochemical and Electrochemical Carbon Dioxide Utilization with Organic Compounds. https://app.cochat.ai/papers/10.1002/cjoc.201700742
The paper
Cao, Y., He, X., Wang, N., Li, H., & He, L. (2018). Photochemical and Electrochemical Carbon Dioxide Utilization with Organic Compounds. Chinese Journal of Chemistry. https://doi.org/10.1002/cjoc.201700742

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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.