Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 252

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

Highly Efficient Restoration of Graphitic Structure in Graphene Oxide Using Alcohol Vapors

Su, Ching-Yuan, Xu, Yanping, Zhang, Wenjing, Zhao, Jianwen, Liu, Aiping, Tang, Xiaohong, Tsai, Chuen-Horng, Huang, Yizhong, Li, Lain-Jong·2010·ACS Nano

Abstract

Solution-based processes involving the chemical oxidation of graphite and reduction of the obtained graphene oxide (GO) sheets have attracted much attention for preparing graphene films for printed electronics and biosensors. However, the low electrical conductivity of reduced GO is still hindering the development of electronic applications. This article presents that GO sheets reduced by high-temperature alcohol vapors exhibit highly graphitic structures and excellent electrical conductivity. The sheet resistance of thin transparent films is lowered to ∼15 kΩ/◻ (>96% transparency). Field-effect transistors produced from these reduced GO sheets exhibit high effective field-effect hole mobility up to 210 cm(2)/V x s. Raman spectroscopic studies reveal that the conductivity enhancement in the low mobility regime is attributed to the removal of chemical functional groups and the formation of six-fold rings. In the high mobility regime, the growth of the graphitic domain size becomes dominant for enhancing its electrical conductivity. The excellent electrical conductivity of the reduced GO sheets promises potential electronic applications.

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/nn101691m

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

Cited by

See all 252

Metadata

Authors
Su, C.-Y., Xu, Y., Zhang, W., Zhao, J., Liu, A., Tang, X., Tsai, C.-H., Huang, Y., & Li, L.-J.
Venue
ACS Nano
Published
2010-08-18
Volume
4
Issue
9
Pages
5285-5292
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2051074249
Cited by
252
References
2
FWCI
12.66
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: Highly Efficient Restoration of Graphitic Structure in Graphene Oxide Using Alcohol Vapors. https://app.cochat.ai/papers/10.1021/nn101691m
The paper
Su, C.-Y., Xu, Y., Zhang, W., Zhao, J., Liu, A., Tang, X., Tsai, C.-H., Huang, Y., & Li, L.-J. (2010). Highly Efficient Restoration of Graphitic Structure in Graphene Oxide Using Alcohol Vapors. ACS Nano. https://doi.org/10.1021/nn101691m

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.