The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Ultrastable atomic copper nanosheets for selective electrochemical reduction of carbon dioxide
Open accessAbstract
Air-stable atomically thick copper nanosheets are prepared and used for selective electrochemical reduction of CO 2 into CO.
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Cites
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
Cu and Cu-Based Nanoparticles: Synthesis and Applications in Catalysis
Gawande, M. B., Goswami, A., Felpin, F.-X., Asefa, T., Huang, X., Silva, R., Zou, X., Zboril, R., & Varma, R. S. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00482 · Cited by 2,934
Covalent organic frameworks comprising cobalt porphyrins for catalytic CO 2 reduction in water
Lin, S., Diercks, C. S., Zhang, Y.-B., Kornienko, N., Nichols, E. M., Zhao, Y., Paris, A. R., Kim, D., Yang, P., Yaghi, O. M., et al. (2015) · Science · doi:10.1126/science.aac8343 · Cited by 2,644
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
Partially oxidized atomic cobalt layers for carbon dioxide electroreduction to liquid fuel
Gao, S., Lin, Y., Jiao, X., Sun, Y., Luo, Q., Zhang, W., Li, D., Yang, J., & Xie, Y. (2016) · Nature · doi:10.1038/nature16455 · Cited by 1,865
Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper
Li, C. W., Ciston, J., & Kanan, M. W. (2014) · Nature · doi:10.1038/nature13249 · Cited by 1,728
Aqueous CO2 Reduction at Very Low Overpotential on Oxide-Derived Au Nanoparticles
Chen, Y., Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja309317u · Cited by 1,664
Selective conversion of syngas to light olefins
Jiao, F., Li, J., Pan, X., Xiao, J., Li, H., Ma, H., Wei, M., Pan, Y., Zhou, Z., Li, M., et al. (2016) · Science · doi:10.1126/science.aaf1835 · Cited by 1,521
CO Chemisorption at Metal Surfaces and Overlayers
Hammer, B., Morikawa, Y., & Nørskov, J. K. (1996) · Physical Review Letters · doi:10.1103/physrevlett.76.2141 · Cited by 1,501
A selective and efficient electrocatalyst for carbon dioxide reduction
Lu, Q., Rosen, J., Zhou, Y., Hutchings, G. S., Kimmel, Y. C., Chen, J. G., & Jiao, F. (2014) · Nature Communications · doi:10.1038/ncomms4242 · Cited by 1,478
Cited by
Industrial carbon dioxide capture and utilization: state of the art and future challenges
Gao, W., Liang, S., Wang, R., Jiang, Q., Zhang, Y., Zheng, Q., Xie, B., Toe, C. Y., Zhu, X., Wang, J., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00025f · Cited by 1,388
Electrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
Large-Scale and Highly Selective CO2 Electrocatalytic Reduction on Nickel Single-Atom Catalyst
Zheng, T., Jiang, K., Ta, N., Hu, Y., Zeng, J., Liu, J., & Wang, H. (2019) · Joule · doi:10.1016/j.joule.2018.10.015 · Cited by 887
Recent Advances in Electrochemical CO2‐to‐CO Conversion on Heterogeneous Catalysts
Zheng, T., Jiang, K., & Wang, H. (2018) · Advanced Materials · doi:10.1002/adma.201802066 · Cited by 579
Bismuthene for highly efficient carbon dioxide electroreduction reaction
Yang, F., Elnabawy, A. O., Schimmenti, R., Song, P., Wang, J., Peng, Z., Yao, S., Deng, R., Song, S., Lin, Y., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14914-9 · Cited by 508
Metadata
- Authors
- Dai, L., Qin, Q., Wang, P., Zhao, X., Hu, C., Liu, P., Qin, R., Chen, M., Ou, D., Xu, C., Mo, S., Wu, B., Fu, G., Zhang, P., & Zheng, N.
- Venue
- Science Advances
- Published
- 2017-09
- Volume
- 3
- Issue
- 9
- Pages
- e1701069-e1701069
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2751719094
- Cited by
- 267
- References
- 42
- FWCI
- 7.19
- Type
- journal article
- Language
- en
- Open access
- gold
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- Dai, L., Qin, Q., Wang, P., Zhao, X., Hu, C., Liu, P., Qin, R., Chen, M., Ou, D., Xu, C., Mo, S., Wu, B., Fu, G., Zhang, P., & Zheng, N. (2017). Ultrastable atomic copper nanosheets for selective electrochemical reduction of carbon dioxide. Science Advances. https://doi.org/10.1126/sciadv.1701069
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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