Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 315

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

Flexible Carbon Nanotube Films for High Performance Strain Sensors

Open access
Kanoun, Olfa, Müller, Christian, Benchirouf, Abderahmane, Sanli, Abdulkadir, Dinh, Trong, Al-Hamry, Ammar, Bu, Lei, Gerlach, Carina, Bouhamed, Ayda·2014·Sensors

Abstract

Compared with traditional conductive fillers, carbon nanotubes (CNTs) have unique advantages, i.e., excellent mechanical properties, high electrical conductivity and thermal stability. Nanocomposites as piezoresistive films provide an interesting approach for the realization of large area strain sensors with high sensitivity and low manufacturing costs. A polymer-based nanocomposite with carbon nanomaterials as conductive filler can be deposited on a flexible substrate of choice and this leads to mechanically flexible layers. Such sensors allow the strain measurement for both integral measurement on a certain surface and local measurement at a certain position depending on the sensor geometry. Strain sensors based on carbon nanostructures can overcome several limitations of conventional strain sensors, e.g., sensitivity, adjustable measurement range and integral measurement on big surfaces. The novel technology allows realizing strain sensors which can be easily integrated even as buried layers in material systems. In this review paper, we discuss the dependence of strain sensitivity on different experimental parameters such as composition of the carbon nanomaterial/polymer layer, type of polymer, fabrication process and processing parameters. The insights about the relationship between film parameters and electromechanical properties can be used to improve the design and fabrication of CNT strain sensors.

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 · 10.3390/s140610042

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 315

Metadata

Authors
Kanoun, O., Müller, C., Benchirouf, A., Sanli, A., Dinh, T., Al-Hamry, A., Bu, L., Gerlach, C., & Bouhamed, A.
Venue
Sensors
Publisher
MDPI AG
Published
2014-06-06
Volume
14
Issue
6
Pages
10042-10071
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2070464492
Cited by
315
References
2
FWCI
13.91
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: Flexible Carbon Nanotube Films for High Performance Strain Sensors. https://app.cochat.ai/papers/10.3390/s140610042
The paper
Kanoun, O., Müller, C., Benchirouf, A., Sanli, A., Dinh, T., Al-Hamry, A., Bu, L., Gerlach, C., & Bouhamed, A. (2014). Flexible Carbon Nanotube Films for High Performance Strain Sensors. Sensors. https://doi.org/10.3390/s140610042

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.