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Cited by 573

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications

Liu, Hu, Li, Yilong, Dai, Kun, Zheng, Guoqiang, Liu, Chuntai, Shen, Changyu, Yan, Xingru, Guo, Jiang, Guo, Zhanhu·2016·Journal of Materials Chemistry C

Abstract

Strain sensors with high sensitivity are reported in the thermoplastic polyurethane nanocomposites with ultralow graphene loading.

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Crossref · 10.1039/c5tc02751a

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Metadata

Authors
Liu, H., Li, Y., Dai, K., Zheng, G., Liu, C., Shen, C., Yan, X., Guo, J., & Guo, Z.
Venue
Journal of Materials Chemistry C
Published
2016
Volume
4
Issue
1
Pages
157-166
ISSN
  • 2050-7526 (ISSN-L)
  • 2050-7534
OpenAlex
W2174029439
Cited by
573
References
3
FWCI
31.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications. https://app.cochat.ai/papers/10.1039/c5tc02751a
The paper
Liu, H., Li, Y., Dai, K., Zheng, G., Liu, C., Shen, C., Yan, X., Guo, J., & Guo, Z. (2016). Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications. Journal of Materials Chemistry C. https://doi.org/10.1039/c5tc02751a

Data sources

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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.