The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Highly selective electrochemical reduction of carbon dioxide using Cu based metal organic framework as an electrocatalyst
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Citations
Cites
Electrochemical reduction of high pressure CO2 at a Cu electrode in cold methanol
Kaneco, S., Iiba, K., Katsumata, H., Suzuki, T., & Ohta, K. (2006) · Electrochimica Acta · doi:10.1016/j.electacta.2006.01.032 · Cited by 74
Cited by
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
Carbon capture and conversion using metal–organic frameworks and MOF-based materials
Ding, M., Flaig, R. W., Jiang, H.-L., & Yaghi, O. M. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00829a · Cited by 2,616
Bavykina, A., Kolobov, N., Khan, I. S., Bau, J. A., Ramirez, A., & Gascon, J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00685 · Cited by 1,754
The chemistry of metal–organic frameworks for CO2 capture, regeneration and conversion
Trickett, C. A., Helal, A., Al-Maythalony, B. A., Yamani, Z. H., Cordova, K. E., & Yaghi, O. M. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.45 · Cited by 1,524
Metal–Organic Framework-Based Catalysts with Single Metal Sites
Wei, Y.-S., Zhang, M., Zou, R., & Xu, Q. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00757 · Cited by 1,233
Metadata
- Authors
- Senthil Kumar, R., Senthil Kumar, S., & Anbu Kulandainathan, M.
- Venue
- Electrochemistry Communications
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 25
- Pages
- 70-73
- ISSN
- 1388-2481 (ISSN-L)
- OpenAlex
- W2076367553
- Cited by
- 315
- References
- 1
- FWCI
- 4.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
