The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Large‐Area Ultrathin Graphene Films by Single‐Step Marangoni Self‐Assembly for Highly Sensitive Strain Sensing Application
Open accessAbstract
Promoted by the demand for wearable devices, graphene has been proved to be a promising material for potential applications in flexible and highly sensitive strain sensors. However, low sensitivity and complex processing of graphene retard the development toward the practical applications. Here, an environment‐friendly and cost‐effective method to fabricate large‐area ultrathin graphene films is proposed for highly sensitive flexible strain sensor. The assembled graphene films are derived rapidly at the liquid/air interface by Marangoni effect and the area can be scaled up. These graphene‐based strain sensors exhibit extremely high sensitivity with gauge factor of 1037 at 2% strain, which represents the highest value for graphene platelets at this small deformation so far. This simple fabrication for strain sensors with highly sensitive performance of strain sensor makes it a novel approach to applications in electronic skin, wearable sensors, and health monitoring platforms.
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.
Integrity signals
Registry
Cites
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.
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
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Advances of flexible pressure sensors toward artificial intelligence and health care applications
Zang, Y., Zhang, F., Di, C.-A., & Zhu, D. (2015) · Materials Horizons · doi:10.1039/c4mh00147h · Cited by 1,272
Highly Stretchable Piezoresistive Graphene–Nanocellulose Nanopaper for Strain Sensors
Yan, C., Wang, J., Kang, W., Cui, M., Wang, X., Foo, C. Y., Chee, K. J., & Lee, P. S. (2014) · Advanced Materials · doi:10.1002/adma.201304742 · Cited by 1,179
Sensitive, High-Strain, High-Rate Bodily Motion Sensors Based on Graphene–Rubber Composites
Boland, C. S., Khan, U., Backes, C., O’Neill, A., McCauley, J., Duane, S., Shanker, R., Liu, Y., Jurewicz, I., Dalton, A. B., et al. (2014) · ACS Nano · doi:10.1021/nn503454h · Cited by 793
Material approaches to stretchable strain sensors
Park, J., You, I., Shin, S., & Jeong, U. (2015) · ChemPhysChem · doi:10.1002/cphc.201402810 · Cited by 216
Cited by
Flexible Sensing Electronics for Wearable/Attachable Health Monitoring
Wang, X., Liu, Z., & Zhang, T. (2017) · Small · doi:10.1002/smll.201602790 · Cited by 1,075
Cai, Y., Shen, J., Ge, G., Zhang, Y., Jin, W., Huang, W., Shao, J., Yang, J., & Dong, X. (2018) · ACS Nano · doi:10.1021/acsnano.7b06251 · Cited by 929
Liao, M., Wan, P., Wen, J., Gong, M., Wu, X., Wang, Y., Shi, R., & Zhang, L. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201703852 · Cited by 760
Duan, L., D'hooge, D. R., & Cardon, L. (2020) · Progress in Materials Science · doi:10.1016/j.pmatsci.2019.100617 · Cited by 554
Shi, J., Wang, L., Dai, Z., Zhao, L., Du, M., Li, H., & Fang, Y. (2018) · Small · doi:10.1002/smll.201800819 · Cited by 507
Self-citation
Metadata
- Authors
- Li, X., Yang, T., Yang, Y., Zhu, J., Li, L., Alam, F. E., Li, X., Wang, K., Cheng, H., Lin, C., Fang, Y., & Zhu, H.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2016-01-25
- Volume
- 26
- Issue
- 9
- Pages
- 1322-1329
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2308405896
- Cited by
- 387
- References
- 5
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- green
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: Large‐Area Ultrathin Graphene Films by Single‐Step Marangoni Self‐Assembly for Highly Sensitive Strain Sensing Application. https://app.cochat.ai/papers/10.1002/adfm.201504717
- The paper
- Li, X., Yang, T., Yang, Y., Zhu, J., Li, L., Alam, F. E., Li, X., Wang, K., Cheng, H., Lin, C., Fang, Y., & Zhu, H. (2016). Large‐Area Ultrathin Graphene Films by Single‐Step Marangoni Self‐Assembly for Highly Sensitive Strain Sensing Application. Advanced Functional Materials. https://doi.org/10.1002/adfm.201504717
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.
