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Cited by 224

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

Engineering a conductive network of atomically thin bismuthene with rich defects enables CO2 reduction to formate with industry-compatible current densities and stability

Zhang, Min, Wei, Wenbo, Zhou, Shenghua, Ma, Dong-Dong, Cao, Aihui, Wu, Xin-Tao, Zhu, Qi-Long·2021·Energy & Environmental Science

Abstract

An electrocatalytic membrane featuring a 3D porous conductive network of atomically thin and defect-rich bismuthene nanolayers is assembled, which affords an unparalleled catalytic performance for CO 2 electroreduction to formate.

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Crossref · 10.1039/d1ee01495a

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Metadata

Authors
Zhang, M., Wei, W., Zhou, S., Ma, D.-D., Cao, A., Wu, X.-T., & Zhu, Q.-L.
Venue
Energy & Environmental Science
Published
2021
Volume
14
Issue
9
Pages
4998-5008
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W3185649036
Cited by
224
References
4
FWCI
7.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Engineering a conductive network of atomically thin bismuthene with rich defects enables CO2 reduction to formate with industry-compatible current densities and stability. https://app.cochat.ai/papers/10.1039/d1ee01495a
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Zhang, M., Wei, W., Zhou, S., Ma, D.-D., Cao, A., Wu, X.-T., & Zhu, Q.-L. (2021). Engineering a conductive network of atomically thin bismuthene with rich defects enables CO2 reduction to formate with industry-compatible current densities and stability. Energy & Environmental Science. https://doi.org/10.1039/d1ee01495a

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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.