Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 301

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

Coaxial Thermoplastic Elastomer‐Wrapped Carbon Nanotube Fibers for Deformable and Wearable Strain Sensors

Zhou, Jian, Xu, Xuezhu, Xin, Yangyang, Lubineau, Gilles·2018·Advanced Functional Materials

Abstract

Highly conductive and stretchable fibers are crucial components of wearable electronics systems. Excellent electrical conductivity, stretchability, and wearability are required from such fibers. Existing technologies still display limited performances in these design requirements. Here, achieving highly stretchable and sensitive strain sensors by using a coaxial structure, prepared via coaxial wet spinning of thermoplastic elastomer‐wrapped carbon nanotube fibers, is proposed. The sensors attain high sensitivity (with a gauge factor of 425 at 100% strain), high stretchability, and high linearity. They are also reproducible and durable. Their use as safe sensing components on deformable cable, expandable surfaces, and wearable textiles is demonstrated.

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/adfm.201705591

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 301

Metadata

Authors
Zhou, J., Xu, X., Xin, Y., & Lubineau, G.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2018-01-22
Volume
28
Issue
16
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2790511433
Cited by
301
References
2
FWCI
14.91
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: Coaxial Thermoplastic Elastomer‐Wrapped Carbon Nanotube Fibers for Deformable and Wearable Strain Sensors. https://app.cochat.ai/papers/10.1002/adfm.201705591
The paper
Zhou, J., Xu, X., Xin, Y., & Lubineau, G. (2018). Coaxial Thermoplastic Elastomer‐Wrapped Carbon Nanotube Fibers for Deformable and Wearable Strain Sensors. Advanced Functional Materials. https://doi.org/10.1002/adfm.201705591

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.