Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 470

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Flexible supercapacitors based on carbon nanomaterials

Chen, Tao, Dai, Liming·2014·Journal of Materials Chemistry A

Abstract

Flexible energy storage devices are essential for the development of flexible and wearable electronics. Flexible supercapacitors (also known as electrochemical capacitors or ultracapacitors) have attracted increasing attention for advanced energy storage because of their high capability, long cycle life, low cost, and easy fabrication. Carbon nanomaterials, including 1D carbon nanotubes, 2D graphene, and 3D mesoporous carbon, are promising as electrode materials for flexible supercapacitors due to their extremely large surface area, excellent mechanical and electrical properties, and high electrochemical stability. Much effort has been devoted to developing flexible, carbon-based, all-solid-state supercapacitors with different structure/performance characteristics, including conventional planar, ultrathin in-plane, wearable fiber-shaped, stretchable, transparent, and integrated devices with aesthetic appeal. The aim of this article is to provide an overview of recent progress towards the development of advanced flexible supercapacitors based on carbon nanomaterials. The challenges and perspectives in this emerging field are also discussed.

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 · 10.1039/c4ta00567h

Cites

4 of 4 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 4 references

Cited by

See all 470

Metadata

Authors
Chen, T., & Dai, L.
Venue
Journal of Materials Chemistry A
Published
2014
Volume
2
Issue
28
Pages
10756
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W1996489967
Cited by
470
References
4
FWCI
17.39
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 supercapacitors based on carbon nanomaterials. https://app.cochat.ai/papers/10.1039/c4ta00567h
The paper
Chen, T., & Dai, L. (2014). Flexible supercapacitors based on carbon nanomaterials. Journal of Materials Chemistry A. https://doi.org/10.1039/c4ta00567h

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.