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Cited by 514

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Wearable and Implantable Triboelectric Nanogenerators

Liu, Zhuo, Li, Hu, Shi, Bojing, Fan, Yubo, Wang, Zhong Lin, Li, Zhou·2019·Advanced Functional Materials

Abstract

Triboelectric nanogenerators (TENGs) are a promising technology to convert mechanical energy to electrical energy based on coupled triboelectrification and electrostatic induction. With the rapid development of functional materials and manufacturing techniques, wearable and implantable TENGs have evolved into playing important roles in clinic and daily life from in vitro to in vivo. These flexible and light membrane‐like devices have the potential to be a new power supply or sensor element, to meet the special requirements for portable electronics, promoting innovation in electronic devices. In this review, the recent advances in wearable and implantable TENGs as sustainable power sources or self‐powered sensors are reviewed. In addition, the remaining challenges and future possible improvements of wearable and implantable TENG‐based self‐powered systems are discussed.

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Crossref · 10.1002/adfm.201808820

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Metadata

Authors
Liu, Z., Li, H., Shi, B., Fan, Y., Wang, Z. L., & Li, Z.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2019-02-27
Volume
29
Issue
20
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2917194707
Cited by
514
References
6
FWCI
20.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wearable and Implantable Triboelectric Nanogenerators. https://app.cochat.ai/papers/10.1002/adfm.201808820
The paper
Liu, Z., Li, H., Shi, B., Fan, Y., Wang, Z. L., & Li, Z. (2019). Wearable and Implantable Triboelectric Nanogenerators. Advanced Functional Materials. https://doi.org/10.1002/adfm.201808820

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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.