| Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications M Zhu, Z Sun, Z Zhang, Q Shi, T He, H Liu, T Chen, C Lee Science Advances 6 (19), eaaz8693, 2020 | 567 | 2020 |
| Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications T Jin, Z Sun, L Li, Q Zhang, M Zhu, Z Zhang, G Yuan, T Chen, Y Tian, ... Nature communications 11 (1), 5381, 2020 | 481 | 2020 |
| Self-powered and self-functional cotton sock using piezoelectric and triboelectric hybrid mechanism for healthcare and sports monitoring M Zhu, Q Shi, T He, Z Yi, Y Ma, B Yang, T Chen, C Lee ACS nano 13 (2), 1940-1952, 2019 | 440 | 2019 |
| Machine learning glove using selfpowered conductive superhydrophobic triboelectric textile for gesture recognition in VR/AR applications F Wen, Z Sun, T He, Q Shi, M Zhu, Z Zhang, L Li, T Zhang, C Lee Advanced science 7 (14), 2000261, 2020 | 373 | 2020 |
| Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications Z Zhang, T He, M Zhu, Z Sun, Q Shi, J Zhu, B Dong, MR Yuce, C Lee npj Flexible Electronics 4 (1), 29, 2020 | 312 | 2020 |
| Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions Z Sun, M Zhu, X Shan, C Lee Nature communications 13 (1), 5224, 2022 | 279 | 2022 |
| Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem J Zhu, M Zhu, Q Shi, F Wen, L Liu, B Dong, A Haroun, Y Yang, P Vachon, ... EcoMat 2 (4), e12058, 2020 | 243 | 2020 |
| Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems M Zhu, T He, C Lee Applied Physics Reviews 7 (3), 2020 | 233 | 2020 |
| Making use of nanoenergy from human–Nanogenerator and self-powered sensor enabled sustainable wireless IoT sensory systems M Zhu, Z Yi, B Yang, C Lee Nano Today 36, 101016, 2021 | 223 | 2021 |
| Triboelectric self-powered wearable flexible patch as 3D motion control interface for robotic manipulator T Chen, Q Shi, M Zhu, T He, L Sun, L Yang, C Lee ACS nano 12 (11), 11561-11571, 2018 | 202 | 2018 |
| Artificial Intelligence of Things (AIoT) enabled virtual shop applications using selfpowered sensor enhanced soft robotic manipulator Z Sun, M Zhu, Z Zhang, Z Chen, Q Shi, X Shan, RCH Yeow, C Lee Advanced Science 8 (14), 2100230, 2021 | 190 | 2021 |
| Triboelectric nanogenerator enabled wearable sensors and electronics for sustainable internet of things integrated green earth Y Yang, X Guo, M Zhu, Z Sun, Z Zhang, T He, C Lee Advanced Energy Materials 13 (1), 2203040, 2023 | 169 | 2023 |
| Self-powered glove-based intuitive interface for diversified control applications in real/cyber space T He, Z Sun, Q Shi, M Zhu, DV Anaya, M Xu, T Chen, MR Yuce, ... Nano Energy 58, 641-651, 2019 | 159 | 2019 |
| Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system M Zhu, Z Sun, T Chen, C Lee Nature communications 12 (1), 2692, 2021 | 152 | 2021 |
| Battery-free short-range self-powered wireless sensor network (SS-WSN) using TENG based direct sensory transmission (TDST) mechanism F Wen, H Wang, T He, Q Shi, Z Sun, M Zhu, Z Zhang, Z Cao, Y Dai, ... Nano Energy 67, 104266, 2020 | 121 | 2020 |
| An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice H Liu, W Dong, Y Li, F Li, J Geng, M Zhu, T Chen, H Zhang, L Sun, C Lee Microsystems & nanoengineering 6 (1), 16, 2020 | 108 | 2020 |
| Self-powered multifunctional monitoring system using hybrid integrated triboelectric nanogenerators and piezoelectric microsensors C Sun, Q Shi, D Hasan, MS Yazici, M Zhu, Y Ma, B Dong, Y Liu, C Lee Nano Energy 58, 612-623, 2019 | 91 | 2019 |
| Triboelectric single-electrode-output control interface using patterned grid electrode Q Shi, C Qiu, T He, F Wu, M Zhu, JA Dziuban, R Walczak, MR Yuce, ... Nano Energy 60, 545-556, 2019 | 84 | 2019 |
| Soft modular glove with multimodal sensing and augmented haptic feedback enabled by materials’ multifunctionalities M Zhu, Z Sun, C Lee ACS nano 16 (9), 14097-14110, 2022 | 81 | 2022 |
| Progress in the triboelectric human–machine interfaces (HMIs)-moving from smart gloves to AI/haptic enabled HMI in the 5G/IoT era Z Sun, M Zhu, C Lee Nanoenergy Advances 1 (1), 2021 | 78 | 2021 |
Chengkuo LeeGlobalFoundries Chair Professor in Eng., ECE Department, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
