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Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications
Open accessAbstract
The rapid progress of Internet of things (IoT) technology raises an imperative demand on human machine interfaces (HMIs) which provide a critical linkage between human and machines. Using a glove as an intuitive and low‐cost HMI can expediently track the motions of human fingers, resulting in a straightforward communication media of human–machine interactions. When combining several triboelectric textile sensors and proper machine learning technique, it has great potential to realize complex gesture recognition with the minimalist‐designed glove for the comprehensive control in both real and virtual space. However, humidity or sweat may negatively affect the triboelectric output as well as the textile itself. Hence, in this work, a facile carbon nanotubes/thermoplastic elastomer (CNTs/TPE) coating approach is investigated in detail to achieve superhydrophobicity of the triboelectric textile for performance improvement. With great energy harvesting and human motion sensing capabilities, the glove using the superhydrophobic textile realizes a low‐cost and self‐powered interface for gesture recognition. By leveraging machine learning technology, various gesture recognition tasks are done in real time by using gestures to achieve highly accurate virtual reality/augmented reality (VR/AR) controls including gun shooting, baseball pitching, and flower arrangement, with minimized effect from sweat during operation.
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Citations
Cites
Purity of the sacred lotus, or escape from contamination in biological surfaces
Barthlott, W., & Neinhuis, C. (1997) · Planta · doi:10.1007/s004250050096 · Cited by 6,860
Flexible triboelectric generator
Fan, F.-R., Tian, Z.-Q., & Lin Wang, Z. (2012) · Nano Energy · doi:10.1016/j.nanoen.2012.01.004 · Cited by 6,705
Water-repellent legs of water striders
Gao, X., & Jiang, L. (2004) · Nature · doi:10.1038/432036a · Cited by 2,609
Self-cleaning surfaces — virtual realities
Blossey, R. (2003) · Nature Materials · doi:10.1038/nmat856 · Cited by 2,314
Skin electronics from scalable fabrication of an intrinsically stretchable transistor array
Wang, S., Xu, J., Wang, W., Wang, G.-J. N., Rastak, R., Molina-Lopez, F., Chung, J. W., Niu, S., Feig, V. R., Lopez, J., et al. (2018) · Nature · doi:10.1038/nature25494 · Cited by 2,198
Quantifying the triboelectric series
Zou, H., Zhang, Y., Guo, L., Wang, P., He, X., Dai, G., Zheng, H., Chen, C., Wang, A. C., Xu, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09461-x · Cited by 1,920
Advanced Carbon for Flexible and Wearable Electronics
Wang, C., Xia, K., Wang, H., Liang, X., Yin, Z., & Zhang, Y. (2019) · Advanced Materials · doi:10.1002/adma.201801072 · Cited by 1,300
Learning the signatures of the human grasp using a scalable tactile glove
Sundaram, S., Kellnhofer, P., Li, Y., Zhu, J.-Y., Torralba, A., & Matusik, W. (2019) · Nature · doi:10.1038/s41586-019-1234-z · Cited by 1,162
Micro-cable structured textile for simultaneously harvesting solar and mechanical energy
Chen, J., Huang, Y., Zhang, N., Zou, H., Liu, R., Tao, C., Fan, X., & Wang, Z. L. (2016) · Nature Energy · doi:10.1038/nenergy.2016.138 · Cited by 1,060
Boutry, C. M., Negre, M., Jorda, M., Vardoulis, O., Chortos, A., Khatib, O., & Bao, Z. (2018) · Science Robotics · doi:10.1126/scirobotics.aau6914 · Cited by 921
A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids
Guo, H., Pu, X., Chen, J., Meng, Y., Yeh, M.-H., Liu, G., Tang, Q., Chen, B., Liu, D., Qi, S., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aat2516 · Cited by 786
Muscle-Inspired Self-Healing Hydrogels for Strain and Temperature Sensor
Ge, G., Lu, Y., Qu, X., Zhao, W., Ren, Y., Wang, W., Wang, Q., Huang, W., & Dong, X. (2020) · ACS Nano · doi:10.1021/acsnano.9b07874 · Cited by 732
Reverse‐Micelle‐Induced Porous Pressure‐Sensitive Rubber for Wearable Human–Machine Interfaces
Jung, S., Kim, J. H., Kim, J., Choi, S., Lee, J., Park, I., Hyeon, T., & Kim, D. (2014) · Advanced Materials · doi:10.1002/adma.201401364 · Cited by 623
Wearable Microfluidic Diaphragm Pressure Sensor for Health and Tactile Touch Monitoring
Gao, Y., Ota, H., Schaler, E. W., Chen, K., Zhao, A., Gao, W., Fahad, H. M., Leng, Y., Zheng, A., Xiong, F., et al. (2017) · Advanced Materials · doi:10.1002/adma.201701985 · Cited by 614
Integrated charge excitation triboelectric nanogenerator
Liu, W., Wang, Z., Wang, G., Liu, G., Chen, J., Pu, X., Xi, Y., Wang, X., Guo, H., Hu, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09464-8 · Cited by 607
Lim, S., Son, D., Kim, J., Lee, Y. B., Song, J., Choi, S., Lee, D. J., Kim, J. H., Lee, M., Hyeon, T., et al. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201402987 · Cited by 582
Xiong, J., Cui, P., Chen, X., Wang, J., Parida, K., Lin, M.-F., & Lee, P. S. (2018) · Nature Communications · doi:10.1038/s41467-018-06759-0 · Cited by 569
Integrated textile sensor patch for real-time and multiplex sweat analysis
He, W., Wang, C., Wang, H., Jian, M., Lu, W., Liang, X., Zhang, X., Yang, F., & Zhang, Y. (2019) · Science Advances · doi:10.1126/sciadv.aax0649 · Cited by 564
The Salvinia Paradox: Superhydrophobic Surfaces with Hydrophilic Pins for Air Retention Under Water
Barthlott, W., Schimmel, T., Wiersch, S., Koch, K., Brede, M., Barczewski, M., Walheim, S., Weis, A., Kaltenmaier, A., Leder, A., et al. (2010) · Advanced Materials · doi:10.1002/adma.200904411 · Cited by 556
Hydrophobic Sponge Structure‐Based Triboelectric Nanogenerator
Lee, K. Y., Chun, J., Lee, J., Kim, K. N., Kang, N., Kim, J., Kim, M. H., Shin, K., Gupta, M. K., Baik, J. M., et al. (2014) · Advanced Materials · doi:10.1002/adma.201401184 · Cited by 509
Taylor, N. A., & Machado-Moreira, C. A. (2013) · Extreme Physiology & Medicine · doi:10.1186/2046-7648-2-4 · Cited by 490
Deng, W., Yang, T., Jin, L., Yan, C., Huang, H., Chu, X., Wang, Z., Xiong, D., Tian, G., Gao, Y., et al. (2019) · Nano Energy · doi:10.1016/j.nanoen.2018.10.049 · Cited by 488
Yang, Y., Sun, N., Wen, Z., Cheng, P., Zheng, H., Shao, H., Xia, Y., Chen, C., Lan, H., Xie, X., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b00147 · Cited by 476
A Superhydrophobic Smart Coating for Flexible and Wearable Sensing Electronics
Li, L., Bai, Y., Li, L., Wang, S., & Zhang, T. (2017) · Advanced Materials · doi:10.1002/adma.201702517 · Cited by 471
Self-citationWireless body sensor networks based on metamaterial textiles
Tian, X., Lee, P. M., Tan, Y. J., Wu, T. L. Y., Yao, H., Zhang, M., Li, Z., Ng, K. A., Tee, B. C. K., & Ho, J. S. (2019) · Nature Electronics · doi:10.1038/s41928-019-0257-7 · Cited by 434
Carey, T., Cacovich, S., Divitini, G., Ren, J., Mansouri, A., Kim, J. M., Wang, C., Ducati, C., Sordan, R., & Torrisi, F. (2017) · Nature Communications · doi:10.1038/s41467-017-01210-2 · Cited by 433
Lai, Y., Deng, J., Zhang, S. L., Niu, S., Guo, H., & Wang, Z. L. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201604462 · Cited by 411
Zhu, M., Shi, Q., He, T., Yi, Z., Ma, Y., Yang, B., Chen, T., & Lee, C. (2019) · ACS Nano · doi:10.1021/acsnano.8b08329 · Cited by 411
Self-citationShi, G., Zhao, Z., Pai, J., Lee, I., Zhang, L., Stevenson, C., Ishara, K., Zhang, R., Zhu, H., & Ma, J. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201602619 · Cited by 399
Wen, Z., Yang, Y., Sun, N., Li, G., Liu, Y., Chen, C., Shi, J., Xie, L., Jiang, H., Bao, D., et al. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201803684 · Cited by 393
Super‐Hydrophobic PDMS Surface with Ultra‐Low Adhesive Force
Jin, M., Feng, X., Xi, J., Zhai, J., Cho, K., Feng, L., & Jiang, L. (2005) · Macromolecular Rapid Communications · doi:10.1002/marc.200500458 · Cited by 373
Multifunctional TENG for Blue Energy Scavenging and Self‐Powered Wind‐Speed Sensor
Xi, Y., Guo, H., Zi, Y., Li, X., Wang, J., Deng, J., Li, S., Hu, C., Cao, X., & Wang, Z. L. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201602397 · Cited by 357
Carbon‐Nanomaterial‐Based Flexible Batteries for Wearable Electronics
Wu, Z., Wang, Y., Liu, X., Lv, C., Li, Y., Wei, D., & Liu, Z. (2019) · Advanced Materials · doi:10.1002/adma.201800716 · Cited by 350
Liu, H., Li, Q., Bu, Y., Zhang, N., Wang, C., Pan, C., Mi, L., Guo, Z., Liu, C., & Shen, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.104143 · Cited by 333
Atalay, O., Atalay, A., Gafford, J., & Walsh, C. (2018) · Advanced Materials Technologies · doi:10.1002/admt.201700237 · Cited by 329
Lai, Y., Hsiao, Y., Wu, H., & Wang, Z. L. (2019) · Advanced Science · doi:10.1002/advs.201801883 · Cited by 314
Transcatheter Self‐Powered Ultrasensitive Endocardial Pressure Sensor
Liu, Z., Ma, Y., Ouyang, H., Shi, B., Li, N., Jiang, D., Xie, F., Qu, D., Zou, Y., Huang, Y., et al. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201807560 · Cited by 308
Sim, K., Rao, Z., Zou, Z., Ershad, F., Lei, J., Thukral, A., Chen, J., Huang, Q.-A., Xiao, J., & Yu, C. (2019) · Science Advances · doi:10.1126/sciadv.aav9653 · Cited by 305
Wu, R., Ma, L., Hou, C., Meng, Z., Guo, W., Yu, W., Yu, R., Hu, F., & Liu, X. Y. (2019) · Small · doi:10.1002/smll.201901558 · Cited by 300
Liu, Y., Sun, N., Liu, J., Wen, Z., Sun, X., Lee, S.-T., & Sun, B. (2018) · ACS Nano · doi:10.1021/acsnano.8b00416 · Cited by 283
Wearable All‐Fabric‐Based Triboelectric Generator for Water Energy Harvesting
Xiong, J., Lin, M., Wang, J., Gaw, S. L., Parida, K., & Lee, P. S. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201701243 · Cited by 282
Personalized Keystroke Dynamics for Self-Powered Human–Machine Interfacing
Chen, J., Zhu, G., Yang, J., Jing, Q., Bai, P., Yang, W., Qi, X., Su, Y., & Wang, Z. L. (2015) · ACS Nano · doi:10.1021/nn506832w · Cited by 270
A Textile‐Based Stretchable Multi‐Ion Potentiometric Sensor
Parrilla, M., Cánovas, R., Jeerapan, I., Andrade, F. J., & Wang, J. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600092 · Cited by 269
Core–Shell-Yarn-Based Triboelectric Nanogenerator Textiles as Power Cloths
Yu, A., Pu, X., Wen, R., Liu, M., Zhou, T., Zhang, K., Zhang, Y., Zhai, J., Hu, W., & Wang, Z. L. (2017) · ACS Nano · doi:10.1021/acsnano.7b07534 · Cited by 264
Recent progress on textile-based triboelectric nanogenerators
Paosangthong, W., Torah, R., & Beeby, S. (2019) · Nano Energy · doi:10.1016/j.nanoen.2018.10.036 · Cited by 258
He, T., Wang, H., Wang, J., Tian, X., Wen, F., Shi, Q., Ho, J. S., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201901437 · Cited by 252
Self-citationRotation sensing and gesture control of a robot joint via triboelectric quantization sensor
Pu, X., Guo, H., Tang, Q., Chen, J., Feng, L., Liu, G., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.10.044 · Cited by 244
Human–Machine Interfacing Enabled by Triboelectric Nanogenerators and Tribotronics
Ding, W., Wang, A. C., Wu, C., Guo, H., & Wang, Z. L. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800487 · Cited by 243
Keystroke dynamics enabled authentication and identification using triboelectric nanogenerator array
Wu, C., Ding, W., Liu, R., Wang, J., Wang, A. C., Wang, J., Li, S., Zi, Y., & Wang, Z. L. (2018) · Materials Today · doi:10.1016/j.mattod.2018.01.006 · Cited by 231
Chen, T., Shi, Q., Zhu, M., He, T., Sun, L., Yang, L., & Lee, C. (2018) · ACS Nano · doi:10.1021/acsnano.8b06747 · Cited by 225
Self-citationTextile‐Based Wireless Pressure Sensor Array for Human‐Interactive Sensing
Nie, B., Huang, R., Yao, T., Zhang, Y., Miao, Y., Liu, C., Liu, J., & Chen, X. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201808786 · Cited by 217
Dhakar, L., Pitchappa, P., Tay, F. E. H., & Lee, C. (2016) · Nano Energy · doi:10.1016/j.nanoen.2015.04.020 · Cited by 213
Self-citationSuzuki, K., Yataka, K., Okumiya, Y., Sakakibara, S., Sako, K., Mimura, H., & Inoue, Y. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00145 · Cited by 205
Shi, Q., Wang, H., Wang, T., & Lee, C. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.10.046 · Cited by 205
Self-citationHou, C., Chen, T., Li, Y., Huang, M., Shi, Q., Liu, H., Sun, L., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.103871 · Cited by 205
Self-citationShi, Q., Zhang, Z., Chen, T., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.05.033 · Cited by 202
Self-citationShi, Q., Wang, H., Wu, H., & Lee, C. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.08.018 · Cited by 199
Self-citationZhu, H., Liu, A., Luque, H. L., Sun, H., Ji, D., & Noh, Y.-Y. (2019) · ACS Nano · doi:10.1021/acsnano.8b07567 · Cited by 197
Humidity-resisting triboelectric nanogenerator for high performance biomechanical energy harvesting
Shen, J., Li, Z., Yu, J., & Ding, B. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.08.035 · Cited by 193
Zhou, Q., Lee, K., Kim, K. N., Park, J. G., Pan, J., Bae, J., Baik, J. M., & Kim, T. (2019) · Nano Energy · doi:10.1016/j.nanoen.2018.12.091 · Cited by 190
Wearable Keyboard Using Conducting Polymer Electrodes on Textiles
Takamatsu, S., Lonjaret, T., Ismailova, E., Masuda, A., Itoh, T., & Malliaras, G. G. (2016) · Advanced Materials · doi:10.1002/adma.201504249 · Cited by 188
Tutika, R., Kmiec, S., Haque, A. B. M. T., Martin, S. W., & Bartlett, M. D. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b04569 · Cited by 188
Guo, H., Li, T., Cao, X., Xiong, J., Jie, Y., Willander, M., Cao, X., Wang, N., & Wang, Z. L. (2017) · ACS Nano · doi:10.1021/acsnano.6b07389 · Cited by 185
Wang, J., Wang, H., Thakor, N. V., & Lee, C. (2019) · ACS Nano · doi:10.1021/acsnano.9b00140 · Cited by 177
Self-citationFrom Dual-Mode Triboelectric Nanogenerator to Smart Tactile Sensor: A Multiplexing Design
Li, T., Zou, J., Xing, F., Zhang, M., Cao, X., Wang, N., & Wang, Z. L. (2017) · ACS Nano · doi:10.1021/acsnano.7b00396 · Cited by 176
Machine learning-based self-powered acoustic sensor for speaker recognition
Han, J. H., Bae, K. M., Hong, S. K., Park, H., Kwak, J.-H., Wang, H. S., Joe, D. J., Park, J. H., Jung, Y. H., Hur, S., et al. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.09.030 · Cited by 175
He, T., Sun, Z., Shi, Q., Zhu, M., Anaya, D. V., Xu, M., Chen, T., Yuce, M. R., Thean, A. V.-Y., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.01.091 · Cited by 175
Self-citationShi, Q., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201900617 · Cited by 174
Self-citationLiu, L., Shi, Q., Ho, J. S., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.104167 · Cited by 174
Self-citationLee, T., Lee, W., Kim, S., Kim, J. J., & Kim, B. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201601237 · Cited by 166
Qiu, H.-J., Song, W.-Z., Wang, X.-X., Zhang, J., Fan, Z., Yu, M., Ramakrishna, S., & Long, Y.-Z. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.01.069 · Cited by 160
Tactile Sensors for Advanced Intelligent Systems
Wang, C., Dong, L. R., Peng, D., & Pan, C. (2019) · Advanced Intelligent Systems · doi:10.1002/aisy.201900090 · Cited by 159
Polymer‐Enhanced Highly Stretchable Conductive Fiber Strain Sensor Used for Electronic Data Gloves
Chen, S., Lou, Z., Chen, D., Jiang, K., & Shen, G. (2016) · Advanced Materials Technologies · doi:10.1002/admt.201600136 · Cited by 155
Wearable Superhydrophobic Elastomer Skin with Switchable Wettability
Wang, J., Liu, Y., Zhang, Y., Feng, J., Wang, H., Yu, Y., & Sun, H. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201800625 · Cited by 154
Xie, L., Chen, X., Wen, Z., Yang, Y., Shi, J., Chen, C., Peng, M., Liu, Y., & Sun, X. (2019) · Nano-Micro Letters · doi:10.1007/s40820-019-0271-3 · Cited by 150
Zhao, K., Wang, Z. L., & Yang, Y. F. (2016) · ACS Nano · doi:10.1021/acsnano.6b05815 · Cited by 148
Chandrasekhar, A., Vivekananthan, V., Khandelwal, G., & Kim, S. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.04.004 · Cited by 145
Wang, J., Wang, H., He, T., He, B., Thakor, N. V., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201900149 · Cited by 139
Self-citationChen, Y., Wang, Y., Zhang, Y., Zou, H., Lin, Z., Zhang, G., Zou, C., & Wang, Z. L. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201802159 · Cited by 136
Water-Repellent Textile via Decorating Fibers with Amphiphilic Janus Particles
Synytska, A., Khanum, R., Ionov, L., Cherif, C., & Bellmann, C. (2011) · ACS Applied Materials & Interfaces · doi:10.1021/am200033u · Cited by 132
Wang, J., He, T., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.104039 · Cited by 129
Self-citationHassani, F. A., Mogan, R. P., Gammad, G. G. L., Wang, H., Yen, S.-C., Thakor, N. V., & Lee, C. (2018) · ACS Nano · doi:10.1021/acsnano.8b00303 · Cited by 125
Self-citationSelf-Powered Dual-Mode Amenity Sensor Based on the Water–Air Triboelectric Nanogenerator
Wang, H., Wu, H., Hasan, D. M. N., He, T., Shi, Q., & Lee, C. (2017) · ACS Nano · doi:10.1021/acsnano.7b05213 · Cited by 124
Self-citationSelf-powered gait pattern-based identity recognition by a soft and stretchable triboelectric band
Han, Y., Fang, Y., Cheng, J., Dai, K., Xu, Y., Wang, X., & You, Z. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.11.078 · Cited by 124
Choi, S., Yoon, K., Lee, S.-G., Lee, H. J., Lee, J., Kim, D. W., Kim, M., Lee, T., & Pang, C. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201905808 · Cited by 123
All-Elastomer-Based Triboelectric Nanogenerator as a Keyboard Cover To Harvest Typing Energy
Li, S., Peng, W., Wang, J., Lin, L., Zi, Y., Zhang, G., & Wang, Z. L. (2016) · ACS Nano · doi:10.1021/acsnano.6b03926 · Cited by 120
Mullangi, D., Shalini, S., Nandi, S., Choksi, B., & Vaidhyanathan, R. (2017) · Journal of Materials Chemistry A · doi:10.1039/c7ta01302g · Cited by 120
Kim, S. B., Lee, K., Raj, M. S., Lee, B.-R., Reeder, J. T., Koo, J., Hourlier‐Fargette, A., Bandodkar, A. J., Won, S. M., Sekine, Y., et al. (2018) · Small · doi:10.1002/smll.201802876 · Cited by 119
Wang, H., Pastorin, G., & Lee, C. (2016) · Advanced Science · doi:10.1002/advs.201500441 · Cited by 118
Self-citationSun, C., Shi, Q., Hasan, D. M. N., Yazici, M. S., Zhu, M., Ma, Y., Dong, B., Liu, Y., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.01.096 · Cited by 115
Self-citationDirect muscle stimulation using diode-amplified triboelectric nanogenerators (TENGs)
Wang, H., Wang, J., He, T., Li, Z., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.06.040 · Cited by 114
Self-citation“Lock‐and‐Key” Geometry Effect of Patterned Surfaces: Wettability and Switching of Adhesive Force
Huang, X., Kim, D., Im, M., Lee, J., Yoon, J., & Choi, Y. (2008) · Small · doi:10.1002/smll.200800649 · Cited by 111
Triboelectric liquid volume sensor for self-powered lab-on-chip applications
Wang, H., Xiang, Z., Pastorin, G., Mu, X., Yang, Y. F., Wang, Z. L., & Lee, C. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.02.054 · Cited by 111
Self-citationBattery-free neuromodulator for peripheral nerve direct stimulation
Lee, S., Wang, H., Wang, J., Shi, Q., Yen, S.-C., Thakor, N. V., & Lee, C. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.04.004 · Cited by 110
Self-citationEnergy Cost Calculations for Exercise Prescription: An Update
Swain, D. P. (2000) · Sports Medicine · doi:10.2165/00007256-200030010-00002 · Cited by 108
Lee, S., Wang, H., Peh, W. Y. X., He, T., Yen, S.-C., Thakor, N. V., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.03.082 · Cited by 103
Self-citationSelf-powered wearable keyboard with fabric based triboelectric nanogenerator
Jeon, S., Park, S.-J., Kim, W., Tcho, I., Jin, I. K., Han, J., Kim, D., & Choi, Y. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.09.024 · Cited by 101
Biocompatible, Flexible, and Compliant Energy Harvesters Based on Piezoelectric Thin Films
Todaro, M. T., Guido, F., Algieri, L., Mastronardi, V., Desmaële, D., Epifani, G., & Vittorio, M. D. (2018) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2017.2789300 · Cited by 95
Chen, T., Zhao, M., Shi, Q., Yang, Z., Liu, H., Sun, L., Ouyang, J., & Lee, C. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.06.022 · Cited by 89
Self-citationTriboelectric single-electrode-output control interface using patterned grid electrode
Shi, Q., Qiu, C., He, T., Wu, F., Zhu, M., Dziuban, J., Walczak, R., Yuce, M. R., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.03.090 · Cited by 85
Self-citationChen, C., Wen, Z., Wei, A., Xie, X., Zhai, N., Wei, X., Peng, M., Liu, Y., Sun, X., & Yeow, J. T. W. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.05.029 · Cited by 84
Liu, G., Chen, J., Tang, Q., Feng, L., Yang, H., Li, J., Xi, Y., Wang, X., & Hu, C. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201703086 · Cited by 81
Triboelectric effect based instantaneous self-powered wireless sensing with self-determined identity
Chen, J., Xuan, W., Zhao, P., Farooq, U., Ding, P., Yin, W., Jin, H., Wang, X., Fu, Y., Dong, S., et al. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.06.029 · Cited by 76
Zhao, G., Yang, J., Chen, J., Zhu, G., Jiang, Z., Liu, X., Niu, G., Wang, Z. L., & Zhang, B. (2018) · Advanced Materials Technologies · doi:10.1002/admt.201800167 · Cited by 76
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Self-citation
Metadata
- Authors
- Wen, F., Sun, Z., He, T., Shi, Q., Zhu, M., Zhang, Z., Li, L., Zhang, T., & Lee, C.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2020-06-09
- Volume
- 7
- Issue
- 14
- Pages
- 2000261-2000261
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W3035108607
- Cited by
- 478
- References
- 115
- FWCI
- 20.79
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.
