Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 303

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

High-Quality Reduced Graphene Oxide by a Dual-Function Chemical Reduction and Healing Process

Open access
Some, Surajit, Kim, Youngmin, Yoon, Yeoheung, Yoo, HeeJoun, Lee, Saemi, Park, Younghun, Lee, Hyoyoung·2013·Scientific Reports

Abstract

A new chemical dual-functional reducing agent, thiophene, was used to produce high-quality reduced graphene oxide (rGO) as a result of a chemical reduction of graphene oxide (GO) and the healing of rGO. Thiophene reduced GO by donation of electrons with acceptance of oxygen while it was converted into an intermediate oxidised polymerised thiophene that was eventually transformed into polyhydrocarbon by loss of sulphur atoms. Surprisingly, the polyhydrocarbon template helped to produce good-quality rGOC (chemically reduced) and high-quality rGOCT after thermal treatment. The resulting rGOCT nanosheets did not contain any nitrogen or sulphur impurities, were highly deoxygenated and showed a healing effect. Thus the electrical properties of the as-prepared rGOCT were superior to those of conventional hydrazine-produced rGO that require harsh reaction conditions. Our novel dual reduction and healing method with thiophene could potentially save energy and facilitate the commercial mass production of high-quality graphene.

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 · 10.1038/srep01929

Cites

2 of 2 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 2 references

Metadata

Authors
Some, S., Kim, Y., Yoon, Y., Yoo, H., Lee, S., Park, Y., & Lee, H.
Venue
Scientific Reports
Published
2013-05-31
Volume
3
Issue
1
Pages
1929-1929
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2051350975
Cited by
303
References
2
FWCI
13.76
Type
journal article
Language
en
Open access
gold

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: High-Quality Reduced Graphene Oxide by a Dual-Function Chemical Reduction and Healing Process. https://app.cochat.ai/papers/10.1038/srep01929
The paper
Some, S., Kim, Y., Yoon, Y., Yoo, H., Lee, S., Park, Y., & Lee, H. (2013). High-Quality Reduced Graphene Oxide by a Dual-Function Chemical Reduction and Healing Process. Scientific Reports. https://doi.org/10.1038/srep01929

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.