Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 261

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Application of Ceria in CO2 Conversion Catalysis

Chang, Kuan, Zhang, Haochen, Cheng, Mu-jeng, Lu, Qi·2020·ACS Catalysis

Abstract

The growing threat of global climate change has received increasing attention in recent years. The conversion of CO 2 to fuels and chemicals is vital for reducing emissions of greenhouse gases and neutralizing the negative impacts of CO 2 emissions on the environment. Various CO 2 conversion routes have been proposed on the basis of heterogeneous catalysis. However, the development of a high-performance catalyst with satisfactory activity and selectivity remains challenging. In past decades, the role of ceria in activating CO 2 under mild conditions has been widely demonstrated, which has inspired the design of novel heterogeneous catalysts and contributed to the extensive catalytic applications in CO 2 conversion reactions. The applications of ceria have been studied in three groups of CO 2 conversion reactions, including hydrogenation of CO 2, activation of CO 2 with alkanes, and nonreductive CO 2 transformations. Investigations into these reactions show that CeO 2 is a highly tunable material with great potential for CO 2 catalysis due to its unique properties such as abundant oxygen vacancy and metal–support interaction. The catalytic performance of CeO 2 -based catalysts can be improved by various strategies including metal doping, forming mixed oxides or solid solution, as well as morphological control. Future works are proposed to address the challenges in current research and to further advance the CeO 2 -based catalysts in CO 2 conversion reactions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acscatal.9b03935

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 261

Metadata

Authors
Chang, K., Zhang, H., Cheng, M.-J., & Lu, Q.
Venue
ACS Catalysis
Published
2019-11-26
Volume
10
Issue
1
Pages
613-631
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2991363301
Cited by
261
References
1
FWCI
5.44
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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Application of Ceria in CO2 Conversion Catalysis. https://app.cochat.ai/papers/10.1021/acscatal.9b03935
The paper
Chang, K., Zhang, H., Cheng, M.-J., & Lu, Q. (2020). Application of Ceria in CO2 Conversion Catalysis. ACS Catalysis. https://doi.org/10.1021/acscatal.9b03935

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.