Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review

84 indexed citations

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This paper, published in 2024, received 84 indexed citations. Written by Jinglun Yang, Zihao Chen, Lei Zhang and Qichun Zhang covering the research area of Materials Chemistry, Inorganic Chemistry and Renewable Energy, Sustainability and the Environment. It is primarily cited by scholars working on Materials Chemistry (70 citations), Renewable Energy, Sustainability and the Environment (52 citations) and Inorganic Chemistry (37 citations). Published in ACS Nano.

Countries where authors are citing Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review

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This map shows the geographic impact of Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review more than expected).

Fields of papers citing Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1021/acsnano.4c06783.

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