Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 425

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Printed Carbon Nanotube Electronics and Sensor Systems

Chen, Kevin, Gao, Wei, Emaminejad, Sam, Kiriya, Daisuke, Ota, Hiroki, Nyein, Hnin Yin Yin, Takei, Kuniharu, Javey, Ali·2016·Advanced Materials

Abstract

Printing technologies offer large‐area, high‐throughput production capabilities for electronics and sensors on mechanically flexible substrates that can conformally cover different surfaces. These capabilities enable a wide range of new applications such as low‐cost disposable electronics for health monitoring and wearables, extremely large format electronic displays, interactive wallpapers, and sensing arrays. Solution‐processed carbon nanotubes have been shown to be a promising candidate for such printing processes, offering stable devices with high performance. Here, recent progress made in printed carbon nanotube electronics is discussed in terms of materials, processing, devices, and applications. Research challenges and opportunities moving forward from processing and system‐level integration points of view are also discussed for enabling practical applications.

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/adma.201504958

Cites

5 of 5 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 5 references

Cited by

See all 425

Metadata

Authors
Chen, K., Gao, W., Emaminejad, S., Kiriya, D., Ota, H., Nyein, H. Y. Y., Takei, K., & Javey, A.
Venue
Advanced Materials
Publisher
Wiley
Published
2016-02-16
Volume
28
Issue
22
Pages
4397-4414
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2281732274
Cited by
425
References
5
FWCI
26.98
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: Printed Carbon Nanotube Electronics and Sensor Systems. https://app.cochat.ai/papers/10.1002/adma.201504958
The paper
Chen, K., Gao, W., Emaminejad, S., Kiriya, D., Ota, H., Nyein, H. Y. Y., Takei, K., & Javey, A. (2016). Printed Carbon Nanotube Electronics and Sensor Systems. Advanced Materials. https://doi.org/10.1002/adma.201504958

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.