The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Polyethylenimine promoted electrocatalytic reduction of CO2to CO in aqueous medium by graphene-supported amorphous molybdenum sulphide
Open accessAbstract
Amorphous molybdenum sulphide immobilized on polyethylenimine modified reduced graphene oxide can catalyse the electroreduction of CO 2 to CO or “syngas” in aqueous media with high efficiency.
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Cites
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Electrocatalytic Conversion of Carbon Dioxide to Methane and Methanol on Transition Metal Surfaces
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Active and Selective Conversion of CO 2 to CO on Ultrathin Au Nanowires
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Cited by
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
Fe-Based Electrocatalysts for Oxygen Evolution Reaction: Progress and Perspectives
Feng, C., Faheem, M. B., Fu, J., Xiao, Y., Li, C., & Li, Y. (2020) · ACS Catalysis · doi:10.1021/acscatal.9b05445 · Cited by 587
Li, N., Chen, X., Ong, W.-J., MacFarlane, D. R., Zhao, X., Cheetham, A. K., & Sun, C. (2017) · ACS Nano · doi:10.1021/acsnano.7b03738 · Cited by 486
Self-citationInsight into Electrochemical CO 2 Reduction on Surface-Molecule-Mediated Ag Nanoparticles
Kim, C., Eom, T., Jee, M. S., Jung, H., Kim, H., Min, B. K., & Hwang, Y. J. (2017) · ACS Catalysis · doi:10.1021/acscatal.6b01862 · Cited by 265
Sekar, P., Calvillo, L., Tubaro, C., Baron, M., Pokle, A., Carraro, F., Martucci, A., & Agnoli, S. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b02166 · Cited by 92
Metadata
- Authors
- Li, F., Zhao, S.-F., Chen, L., Khan, A., MacFarlane, D. R., & Zhang, J.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 9
- Issue
- 1
- Pages
- 216-223
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2172745253
- Cited by
- 191
- References
- 15
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- green
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.