Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 325

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

A Review of Carbon Nanotube‐ and Graphene‐Based Flexible Thin‐Film Transistors

Sun, Dong‐Ming, Liu, Chang, Ren, Wen‐Cai, Cheng, Hui‐Ming·2013·Small

Abstract

Carbon nanotubes (CNTs) and graphene have attracted great attention for numerous applications for future flexible electronics, owing to their supreme properties including exceptionally high electronic conductivity and mechanical strength. Here, the progress of CNT‐ and graphene‐based flexible thin‐film transistors from material preparation, device fabrication techniques to transistor performance control is reviewed. State‐of‐the‐art fabrication techniques of thin‐film transistors are divided into three categories: solid‐phase, liquid‐phase, and gas‐phase techniques, and possible scale‐up approaches to achieve realistic production of flexible nanocarbon‐based transistors are discussed. In particular, the recent progress in flexible all‐carbon nanomaterial transistor research is highlighted, and this all‐carbon strategy opens up a perspective to realize extremely flexible, stretchable, and transparent electronics with a relatively low‐cost and fast fabrication technique, compared to traditional rigid silicon, metal and metal oxide electronics.

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/smll.201203154

Cites

6 of 6 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 6 references

Cited by

See all 325

Metadata

Authors
Sun, D., Liu, C., Ren, W., & Cheng, H.
Venue
Small
Publisher
Wiley
Published
2013-03-21
Volume
9
Issue
8
Pages
1188-1205
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2116979131
Cited by
325
References
6
FWCI
16.43
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: A Review of Carbon Nanotube‐ and Graphene‐Based Flexible Thin‐Film Transistors. https://app.cochat.ai/papers/10.1002/smll.201203154
The paper
Sun, D., Liu, C., Ren, W., & Cheng, H. (2013). A Review of Carbon Nanotube‐ and Graphene‐Based Flexible Thin‐Film Transistors. Small. https://doi.org/10.1002/smll.201203154

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.