The DOI matches its Crossref record.
Organic field-effect transistor-based gas sensors
Abstract
This tutorial review reports the recent progress on OFET gas sensors, including their working principle, and protocols for high-performance sensing.
Overview
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Citations
Cited by
Recent progress of gas sensors based on perovskites
Wei, C., Guo, Z., Wang, H., Zhang, S., Hao, D., & Huang, J. (2025) · Materials Horizons · doi:10.1039/d4mh01306a · Cited by 38
Metadata
- Authors
- Zhang, C., Chen, P., & Hu, W.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 44
- Issue
- 8
- Pages
- 2087-2107
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2076070842
- Cited by
- 468
- References
- 0
- FWCI
- 4.15
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Organic field-effect transistor-based gas sensors. https://app.cochat.ai/papers/10.1039/c4cs00326h
- The paper
- Zhang, C., Chen, P., & Hu, W. (2015). Organic field-effect transistor-based gas sensors. Chemical Society Reviews. https://doi.org/10.1039/c4cs00326h
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.
