The DOI matches its Crossref record.
Hydrogenation of CO2 to formic acid on supported ruthenium catalysts
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Citations
Cited by
Klankermayer, J., Wesselbaum, S., Beydoun, K., & Leitner, W. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201507458 · Cited by 856
Direct CO2 Hydrogenation over Bifunctional Catalysts to Produce Dimethyl Ether—A Review
Ebrahimian, S., & Bhattacharya, S. (2024) · Energies · doi:10.3390/en17153701 · Cited by 13
Metadata
- Authors
- Hao, C., Wang, S., Li, M., Kang, L., & Ma, X.
- Venue
- Catalysis Today
- Publisher
- Elsevier BV
- Published
- 2011-02-02
- Volume
- 160
- Issue
- 1
- Pages
- 184-190
- ISSN
- 0920-5861 (ISSN-L)
- OpenAlex
- W1996075337
- Cited by
- 178
- References
- 0
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hydrogenation of CO2 to formic acid on supported ruthenium catalysts. https://app.cochat.ai/papers/10.1016/j.cattod.2010.05.034
- The paper
- Hao, C., Wang, S., Li, M., Kang, L., & Ma, X. (2011). Hydrogenation of CO2 to formic acid on supported ruthenium catalysts. Catalysis Today. https://doi.org/10.1016/j.cattod.2010.05.034
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.
