Evidence map›Paper›PMID 40808096›Full record

ReviewPolymers2025

The Advances in Polymer-Based Electrothermal Composites: A Review.

Xiaoli Wu, Ting Yin, Wenyan Liu, Libo Wan, Yijun Liao

Abstract readReview
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoli WuSchool of Materials and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Ting YinSchool of Materials and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Wenyan LiuSchool of Materials and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Libo WanSchool of Humanities and Design, Chengdu Technological University, Chengdu 611730, China.
Yijun LiaoSchool of Materials and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.

Funding

the Science and Technology Project of Sichuan Province 2022YFG0107
6 · The paper itself

Abstract

Polymer-based electrothermal composites (PECs) have been increasingly attracting attention in recent years owing to their flexibility, low density, and high electrothermal efficiency. However, although a large number of reviews have focused on flexible and transparent film heaters as well as polymer-based conductive composites, comprehensive reviews of polymer-based electrothermal composites remain limited. Herein, we provide a comprehensive review of recent advancements in polymer-based electrothermal materials. This review begins with an introduction to the electrothermal theoretical basis and the research progress of PECs incorporating various conductive fillers, such as graphene, carbon nanotubes (CNTs), carbon black (CB), MXenes, and metal nanowires. Furthermore, a critical discussion is provided to emphasize the factors influencing the electrothermal conversion efficiency of these composites. Meanwhile, the development of multi-functional electrothermal materials has been also summarized. Finally, the application progress, future prospects, limitations, and potential directions for PEC are discussed. This review aims to serve as a practical guide for engineers and researchers engaged in the development of polymer-based electrothermal composites.

Indexed as

carbon nanotubeelectrothermal conversion efficiencyelectrothermal theoretical basisgrapheneMXenepolymer-based electrothermal composites

Identifiers

PMID40808096
PMCPMC12349497

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.