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Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator
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Opportunities and challenges for a sustainable energy future
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Material choices for triboelectric nanogenerators: A critical review
Zhang, R., & Olin, H. (2020) · EcoMat · doi:10.1002/eom2.12062 · Cited by 533
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Self-citationGiant magnetoelastic effect in soft systems for bioelectronics
Zhou, Y., Zhao, X., Xu, J., Fang, Y., Chen, G., Song, Y., Li, S., & Chen, J. (2021) · Nature Materials · doi:10.1038/s41563-021-01093-1 · Cited by 459
Self-citationEvolution of breath analysis based on humidity and gas sensors: Potential and challenges
Tai, H., Wang, S., Duan, Z., & Jiang, Y. (2020) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2020.128104 · Cited by 412
Artificial intelligence biosensors: Challenges and prospects
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Metadata
- Authors
- Chen, J., & Wang, Z. L.
- Venue
- Joule
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 1
- Issue
- 3
- Pages
- 480-521
- ISSN
- 2542-4351 (ISSN-L)
- OpenAlex
- W2761761469
- Cited by
- 1,021
- References
- 218
- FWCI
- 33.41
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Chen, J., & Wang, Z. L. (2017). Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator. Joule. https://doi.org/10.1016/j.joule.2017.09.004
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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.