Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 369

The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.

Flexible temperature sensors: A review

Arman Kuzubasoglu, Burcu, Kursun Bahadir, Senem·2020·Sensors and Actuators A: Physical

Abstract

Abstract The research and development of wearable sensors have gained a growing interest due to the advantage of being flexible, thin, and light, which makes them highly desirable for robotic and healthcare applications. One of the essential devices in wearable technology is flexible temperature sensors for body temperature detection. Recent advances in flexible temperature sensors based on nanomaterials and conductive polymers are evaluated in this review. The temperature-responsive mechanisms, temperature-sensitive materials, and production methods of temperature sensors and recent outcomes of related papers are explained and classified in a detailed perspective. The flexible temperature sensors based on nanomaterial-filled polymer composites, printed/coated conductors, and textiles are explained in terms of structures and performances by giving examples from recent literature studies. The reliability and challenges of flexible temperature sensors are outlined from the point of view of structural design and implementation.

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 · 10.1016/j.sna.2020.112282

Cites

127 of 127 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 127 references

Cited by

See all 369

Metadata

Authors
Arman Kuzubasoglu, B., & Kursun Bahadir, S.
Venue
Sensors and Actuators A: Physical
Publisher
Elsevier BV
Published
2020-11
Volume
315
Pages
112282
ISSN
0924-4247 (ISSN-L)
OpenAlex
W3059475505
Cited by
369
References
127
FWCI
10.76
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: Flexible temperature sensors: A review. https://app.cochat.ai/papers/10.1016/j.sna.2020.112282
The paper
Arman Kuzubasoglu, B., & Kursun Bahadir, S. (2020). Flexible temperature sensors: A review. Sensors and Actuators A: Physical. https://doi.org/10.1016/j.sna.2020.112282

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.