Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 453

The DOI matches its Crossref record.

Cu2O/Reduced Graphene Oxide Composites for the Photocatalytic Conversion of CO2

Open access
An, Xiaoqiang, Li, Kimfung, Tang, Junwang·2014·ChemSusChem

Abstract

A facile one‐step microwave‐assisted chemical method has been successfully used for the synthesis of Cu 2 O/reduced graphene oxide (RGO) composites. Photocatalytic CO 2 reduction was then investigated on the junction under ambient conditions. The RGO coating dramatically increases Cu 2 O activity for CO 2 photoreduction to result in a nearly six times higher activity than the optimized Cu 2 O and 50 times higher activity than the Cu 2 O/RuOx junction in the 20 th hour. Furthermore, an apparent initial quantum yield of approximately 0.34 % at 400 nm has been achieved by the Cu 2 O/RGO junction for CO 2 photoreduction. The photocurrent of the junction is nearly double that of the blank Cu 2 O photocathode. The improved activity together with the enhanced stability of Cu 2 O is attributed to the efficient charge separation and transfer to RGO as well as the protection function of RGO, which was proved by XRD, SEM, TEM, X‐ray photoelectron spectroscopy, photo‐electrochemical, photoluminescence, and impedance characterizations. This study further presents useful information for other photocatalyst modification for efficient CO 2 reduction without the need for a noble‐metal co‐catalyst.

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 · 10.1002/cssc.201301194

Cites

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

Cited by

See all 453

Metadata

Authors
An, X., Li, K., & Tang, J.
Venue
ChemSusChem
Publisher
Wiley
Published
2014-02-26
Volume
7
Issue
4
Pages
1086-1093
ISSN
  • 1864-5631 (ISSN-L)
  • 1864-564X
OpenAlex
W2086483321
Cited by
453
References
0
FWCI
11.68
Type
journal article
Language
en
Open access
bronze

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: Cu2O/Reduced Graphene Oxide Composites for the Photocatalytic Conversion of CO2. https://app.cochat.ai/papers/10.1002/cssc.201301194
The paper
An, X., Li, K., & Tang, J. (2014). Cu2O/Reduced Graphene Oxide Composites for the Photocatalytic Conversion of CO2. ChemSusChem. https://doi.org/10.1002/cssc.201301194

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.