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Electronics and Electrical Engineering
Singapore
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
111
Citations
37519
World Ranking
96
National Ranking
7

Materials Science

D-Index
106
Citations
33564
World Ranking
827
National Ranking
32

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Singapore Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Singapore Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Singapore Leader Award

Overview

Chengkuo Lee is affiliated with the National University of Singapore in Singapore and is active primarily in the field of Engineering. Their research focuses extensively on Biomedical Engineering, Electrical and Electronic Engineering, and Cognitive Neuroscience, alongside contributions to Polymers and Plastics and Mechanical Engineering.

The scientist's work centers around several main topics, including Advanced Sensor and Energy Harvesting Materials, Tactile and Sensory Interactions, and Conducting Polymers and Applications. Other significant areas of research include Photonic and Optical Devices, Innovative Energy Harvesting Technologies, Plasmonic and Surface Plasmon Research, and studies related to Muscle Activation and Electromyography.

Lee has published frequently in well-known academic venues. The most common publication outlets for their research are Nano Energy, ACS Nano, Advanced Science, Nature Communications, and Advanced Materials. This range reflects a focus on interdisciplinary work bridging materials science, sensor technology, and energy harvesting systems.

Frequent collaborators in Lee's work include Tianyiyi He, Zixuan Zhang, Bowei Dong, Qiongfeng Shi, and Zhihao Ren, indicating a collaborative network spanning multiple studies in related fields.

Recent research papers authored or co-authored by Lee include:

  • Technology Roadmap for Flexible Sensors, 2023, ACS Nano
  • Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications, 2020, Science Advances
  • Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications, 2020, Nature Communications
  • Progress in wearable electronics/photonics-Moving toward the era of artificial intelligence and internet of things, 2020, InfoMat
  • Machine Learning Glove Using Self-Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications, 2020, Advanced Science

Best Publications

  • A comprehensive review on piezoelectric energy harvesting technology: Materials, mechanisms, and applications

    Huicong Liu;Huicong Liu;Junwen Zhong;Chengkuo Lee;Seung-Wuk Lee

  • Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications

    Tao Jin;Zhongda Sun;Long Li;Quan Zhang

  • Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things

    Qiongfeng Shi;Bowei Dong;Tianyiyi He;Zhongda Sun

  • Electromagnetic energy harvesting from vibrations of multiple frequencies

    Bin Yang;Chengkuo Lee;Chengkuo Lee;Wenfeng Xiang;Jin Xie

  • AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.

    Feng Wen;Zixuan Zhang;Tianyiyi He;Chengkuo Lee

  • Machine Learning Glove Using Self-Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications

    Feng Wen;Zhongda Sun;Tianyiyi He;Qiongfeng Shi

  • Self-Powered and Self-Functional Cotton Sock Using Piezoelectric and Triboelectric Hybrid Mechanism for Healthcare and Sports Monitoring

    Minglu Zhu;Qiongfeng Shi;Tianyiyi He;Zhiran Yi

  • Development Trends and Perspectives of Future Sensors and MEMS/NEMS.

    Jianxiong Zhu;Xinmiao Liu;Qiongfeng Shi;Tianyiyi He

  • Piezoelectric MEMS Energy Harvester for Low-Frequency Vibrations With Wideband Operation Range and Steadily Increased Output Power

    Huicong Liu;Cho Jui Tay;Chenggen Quan;T. Kobayashi

  • Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

    Zixuan Zhang;Tianyiyi He;Minglu Zhu;Zhongda Sun

  • Hybrid energy harvesting technology: From materials, structural design, system integration to applications

    Huicong Liu;Hailing Fu;Hailing Fu;Lining Sun;Chengkuo Lee

  • Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT-Based Smart Healthcare Applications

    Quan Zhang;Tao Jin;Jianguo Cai;Liang Xu

  • Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters

    Long Liu;Xinge Guo;Chengkuo Lee

  • High-Performance, Room Temperature, Ultra-Broadband Photodetectors Based on Air-Stable PdSe2.

    Qijie Liang;Qijie Liang;Qixing Wang;Qian Zhang;Jingxuan Wei

  • Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem

    Jianxiong Zhu;Minglu Zhu;Qiongfeng Shi;Feng Wen

  • Deep learning enabled smart mats as a scalable floor monitoring system

    Qiongfeng Shi;Zixuan Zhang;Tianyiyi He;Zhongda Sun

  • Investigation of a MEMS piezoelectric energy harvester system with a frequency-widened-bandwidth mechanism introduced by mechanical stoppers

    Huicong Liu;Chengkuo Lee;Takeshi Kobayashi;Cho Jui Tay

  • Silicon photonic platforms for mid-infrared applications [Invited]

    Ting Hu;Bowei Dong;Xianshu Luo;Tsung-Yang Liow

  • More than energy harvesting – Combining triboelectric nanogenerator and flexible electronics technology for enabling novel micro-/nano-systems

    Qiongfeng Shi;Tianyiyi He;Chengkuo Lee

  • Technology evolution from self-powered sensors to AIoT enabled smart homes

    Bowei Dong;Qiongfeng Shi;Yanqin Yang;Feng Wen

  • Piezoelectric MEMS-based wideband energy harvesting systems using a frequency-up-conversion cantilever stopper

    Huicong Liu;Chengkuo Lee;Takeshi Kobayashi;Cho Jui Tay

  • Design, Fabrication, and Characterization of CMOS MEMS-Based Thermoelectric Power Generators

    Jin Xie;Chengkuo Lee;Hanhua Feng

Frequent Co-Authors

Prakash Pitchappa
Prakash Pitchappa Agency for Science, Technology and Research
Qiongfeng Shi
Qiongfeng Shi National University of Singapore
Tianyiyi He
Tianyiyi He National University of Singapore
Nitish V. Thakor
Nitish V. Thakor National University of Singapore
Dim-Lee Kwong
Dim-Lee Kwong National University of Singapore
Navab Singh
Navab Singh Agency for Science, Technology and Research
Ranjan Singh
Ranjan Singh University of Notre Dame
Xianshu Luo
Xianshu Luo Agency for Science, Technology and Research
Francis E. H. Tay
Francis E. H. Tay National University of Singapore
Toshihiro Itoh
Toshihiro Itoh University of Tokyo

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