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Strain sensing behaviour of elastomeric composite films containing carbon nanotubes under cyclic loading
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Citations
Cited by
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504755 · Cited by 3,202
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
The emergence of AI-based wearable sensors for digital health technology: a review
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535
Advances in graphene-based flexible and wearable strain sensors
Chen, H., Zhuo, F., Zhou, J., Liu, Y., Zhang, J., Dong, S., Liu, X., Elmarakbi, A., Duan, H., & Fu, Y. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.142576 · Cited by 386
Zheng, Y., Li, Y., Dai, K., Wang, Y., Zheng, G., Liu, C., & Shen, C. (2018) · Composites Science and Technology · doi:10.1016/j.compscitech.2018.01.019 · Cited by 369
Highly Stretchable Core–Sheath Fibers via Wet-Spinning for Wearable Strain Sensors
Tang, Z., Jia, S., Wang, F., Bian, C., Chen, Y., Wang, Y., & Li, B. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b18677 · Cited by 312
Highly sensitive and stretchable graphene-silicone rubber composites for strain sensing
Yang, H., Yao, X., Zheng, Z., Gong, L., Yuan, L., Yuan, Y., & Liu, Y. (2018) · Composites Science and Technology · doi:10.1016/j.compscitech.2018.08.022 · Cited by 253
Shajari, S., Mahmoodi, M., Rajabian, M., Karan, K., Sundararaj, U., & Sudak, L. J. (2020) · Advanced Electronic Materials · doi:10.1002/aelm.201901067 · Cited by 58
Metadata
- Authors
- Zhang, R., Deng, H., Valenca, R., Jin, J., Fu, Q., Bilotti, E., & Peijs, T.
- Venue
- Composites Science and Technology
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 74
- Pages
- 1-5
- ISSN
- 0266-3538 (ISSN-L)
- OpenAlex
- W2141068900
- Cited by
- 250
- References
- 0
- FWCI
- 3.62
- 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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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.