The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Recent advances in understanding Li–CO2 electrochemistry
Abstract
This review presents a comprehensive understanding of recent advances in Li–CO 2 electrochemistry and aims to develop advanced Li–CO 2 batteries.
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Cites
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Structural Defects in Graphene
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CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
Frontiers, Opportunities, and Challenges in Biochemical and Chemical Catalysis of CO 2 Fixation
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Atomic layers of hybridized boron nitride and graphene domains
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A Reversible and Higher-Rate Li-O 2 Battery
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Catalysis of the electrochemical reduction of carbon dioxide
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Cited by
Lobato-Peralta, D. R., Okoye, P. U., & Alegre, C. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.235140 · Cited by 266
Metadata
- Authors
- Liu, B., Sun, Y., Liu, L., Chen, J., Yang, B., Xu, S., & Yan, X.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 12
- Issue
- 3
- Pages
- 887-922
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2909269687
- Cited by
- 317
- References
- 114
- FWCI
- 13.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Recent advances in understanding Li–CO2 electrochemistry. https://app.cochat.ai/papers/10.1039/c8ee03417f
- The paper
- Liu, B., Sun, Y., Liu, L., Chen, J., Yang, B., Xu, S., & Yan, X. (2019). Recent advances in understanding Li–CO2 electrochemistry. Energy & Environmental Science. https://doi.org/10.1039/c8ee03417f
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.
