World's Best Scientists 2026 revealed!
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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

Chengkuo Lee publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Chengkuo Lee sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 703 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Chengkuo Lee D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Chengkuo Lee sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 111 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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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