The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Eye motion triggered self-powered mechnosensational communication system using triboelectric nanogenerator
Open accessAbstract
A triboelectric eye blinking sensor with robustly high sensitivity achieves prominence as a human-machine interface.
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Cites
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Self-citationThe rise of plastic bioelectronics
Someya, T., Bao, Z., & Malliaras, G. G. (2016) · Nature · doi:10.1038/nature21004 · Cited by 1,884
Brain–machine interfaces: past, present and future
Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875
A spelling device for the paralysed
Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577
A brain–computer interface using electrocorticographic signals in humans
Leuthardt, E. C., Schalk, G., Wolpaw, J. R., Ojemann, J. G., & Moran, D. W. (2004) · Journal of Neural Engineering · doi:10.1088/1741-2560/1/2/001 · Cited by 1,188
High-speed spelling with a noninvasive brain–computer interface
Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T.-P., & Gao, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508080112 · Cited by 969
Cited by
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602
Material choices for triboelectric nanogenerators: A critical review
Zhang, R., & Olin, H. (2020) · EcoMat · doi:10.1002/eom2.12062 · Cited by 533
Cao, R., Pu, X., Du, X., Yang, W., Wang, J., Guo, H., Zhao, S., Yuan, Z., Zhang, C., Li, C., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b02477 · Cited by 486
Self-citationEffective Wound Healing Enabled by Discrete Alternative Electric Fields from Wearable Nanogenerators
Long, Y., Wei, H., Li, J., Yao, G., Yu, B., Ni, D., Gibson, A. L., Lan, X., Jiang, Y., Cai, W., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b07038 · Cited by 397
Self-citation
Metadata
- Authors
- Pu, X., Guo, H., Chen, J., Wang, X., Xi, Y., Hu, C., & Wang, Z. L.
- Venue
- Science Advances
- Published
- 2017-07-07
- Volume
- 3
- Issue
- 7
- Pages
- e1700694-e1700694
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2739622635
- Cited by
- 624
- References
- 42
- FWCI
- 28.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- Pu, X., Guo, H., Chen, J., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2017). Eye motion triggered self-powered mechnosensational communication system using triboelectric nanogenerator. Science Advances. https://doi.org/10.1126/sciadv.1700694
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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.
