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Cited by 356

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Surface Immobilization of Transition Metal Ions on Nitrogen‐Doped Graphene Realizing High‐Efficient and Selective CO2 Reduction

Bi, Wentuan, Li, Xiaogang, You, Rui, Chen, Minglong, Yuan, Ruilin, Huang, Weixin, Wu, Xiaojun, Chu, Wangsheng, Wu, Changzheng, Xie, Yi·2018·Advanced Materials

Abstract

Electrochemical conversion of CO 2 to value‐added chemicals using renewable electricity provides a promising way to mitigate both global warming and the energy crisis. Here, a facile ion‐adsorption strategy is reported to construct highly active graphene‐based catalysts for CO 2 reduction to CO. The isolated transition metal cyclam‐like moieties formed upon ion adsorption are found to contribute to the observed improvements. Free from the conventional harsh pyrolysis and acid‐leaching procedures, this solution‐chemistry strategy is easy to scale up and of general applicability, thus paving a rational avenue for the design of high‐efficiency catalysts for CO 2 reduction and beyond.

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Crossref · 10.1002/adma.201706617

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Metadata

Authors
Bi, W., Li, X., You, R., Chen, M., Yuan, R., Huang, W., Wu, X., Chu, W., Wu, C., & Xie, Y.
Venue
Advanced Materials
Publisher
Wiley
Published
2018-03-25
Volume
30
Issue
18
Pages
e1706617-e1706617
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2794350593
Cited by
356
References
4
FWCI
11.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface Immobilization of Transition Metal Ions on Nitrogen‐Doped Graphene Realizing High‐Efficient and Selective CO2 Reduction. https://app.cochat.ai/papers/10.1002/adma.201706617
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Bi, W., Li, X., You, R., Chen, M., Yuan, R., Huang, W., Wu, X., Chu, W., Wu, C., & Xie, Y. (2018). Surface Immobilization of Transition Metal Ions on Nitrogen‐Doped Graphene Realizing High‐Efficient and Selective CO2 Reduction. Advanced Materials. https://doi.org/10.1002/adma.201706617

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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.