The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids
Abstract
A self-powered triboelectric auditory sensor is designed for human-robot interactions.
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Citations
Cites
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
Mannsfeld, S. C. B., Tee, B. C.-K., Stoltenberg, R. M., Chen, C. V. H.-H., Barman, S., Muir, B. V. O., Sokolov, A. N., Reese, C., & Bao, Z. (2010) · Nature Materials · doi:10.1038/nmat2834 · Cited by 3,291
Wang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Self-citationThe grand challenges of Science Robotics
Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aar7650 · Cited by 1,177
Self-citationSustainably powering wearable electronics solely by biomechanical energy
Wang, J., Li, S., Yi, F., Zi, Y., Lin, J., Wang, X., Xu, Y., & Wang, Z. L. (2016) · Nature Communications · doi:10.1038/ncomms12744 · Cited by 648
Self-citationTriboelectric nanogenerators for sensitive nano-coulomb molecular mass spectrometry
Li, A., Zi, Y., Guo, H., Wang, Z. L., & Fernández, F. M. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.17 · Cited by 324
Self-citation
Cited by
Yu, Y., Nassar, J., Xu, C., Min, J., Yang, Y., Dai, A., Doshi, R., Huang, A., Song, Y., Gehlhar, R., et al. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz7946 · Cited by 655
Flexible Hybrid Electronics for Digital Healthcare
Ma, Y., Zhang, Y., Cai, S., Han, Z., Liu, X., Wang, F., Cao, Y., Wang, Z., Li, H., Chen, Y., et al. (2020) · Advanced Materials · doi:10.1002/adma.201902062 · Cited by 620
Self-citationMaterial choices for triboelectric nanogenerators: A critical review
Zhang, R., & Olin, H. (2020) · EcoMat · doi:10.1002/eom2.12062 · Cited by 533
Wen, F., Sun, Z., He, T., Shi, Q., Zhu, M., Zhang, Z., Li, L., Zhang, T., & Lee, C. (2020) · Advanced Science · doi:10.1002/advs.202000261 · Cited by 478
Hierarchically patterned self-powered sensors for multifunctional tactile sensing
Wang, Y., Wu, H., Xu, L., Zhang, H., Yang, Y., & Wang, Z. L. (2020) · Science Advances · doi:10.1126/sciadv.abb9083 · Cited by 425
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Metadata
- Authors
- Guo, H., Pu, X., Chen, J., Meng, Y., Yeh, M.-H., Liu, G., Tang, Q., Chen, B., Liu, D., Qi, S., Wu, C., Hu, C., Wang, J., & Wang, Z. L.
- Venue
- Science Robotics
- Published
- 2018-07-25
- Volume
- 3
- Issue
- 20
- ISSN
- 2470-9476 (ISSN-L)
- OpenAlex
- W2883165917
- Cited by
- 786
- References
- 5
- FWCI
- 32.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guo, H., Pu, X., Chen, J., Meng, Y., Yeh, M.-H., Liu, G., Tang, Q., Chen, B., Liu, D., Qi, S., Wu, C., Hu, C., Wang, J., & Wang, Z. L. (2018). A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids. Science Robotics. https://doi.org/10.1126/scirobotics.aat2516
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.
