World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
9028
World Ranking
5025
National Ranking
79

Zhongda Sun 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 Zhongda Sun 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: 445 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: 49 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Zhongda Sun 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 Zhongda Sun sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Best Publications

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

    Tao Jin;Zhongda Sun;Long Li;Quan Zhang

  • 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

  • Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions

    Unknown

  • 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

  • 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

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

    Jianxiong Zhu;Xinmiao Liu;Qiongfeng Shi;Tianyiyi He

  • Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin

    Unknown

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

    Zixuan Zhang;Tianyiyi He;Minglu Zhu;Zhongda Sun

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

    Zixuan Zhang;Tianyiyi He;Minglu Zhu;Zhongda Sun

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

    Qiongfeng Shi;Zixuan Zhang;Tianyiyi He;Zhongda Sun

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

    Qiongfeng Shi;Zixuan Zhang;Tianyiyi He;Zhongda Sun

  • Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth

    Unknown

  • Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self-Powered Sensor Enhanced Soft Robotic Manipulator.

    Zhongda Sun;Minglu Zhu;Zixuan Zhang;Zhaocong Chen

  • Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system.

    Minglu Zhu;Zhongda Sun;Tao Chen;Chengkuo Lee

  • Self-powered glove-based intuitive interface for diversified control applications in real/cyber space

    Tianyiyi He;Zhongda Sun;Qiongfeng Shi;Minglu Zhu

  • Wearable Triboelectric-Human-Machine Interface (THMI) Using Robust Nanophotonic Readout

    Bowei Dong;Yanqin Yang;Qiongfeng Shi;Siyu Xu

  • Wearable Triboelectric-Human-Machine Interface (THMI) Using Robust Nanophotonic Readout.

    Bowei Dong;Yanqin Yang;Qiongfeng Shi;Siyu Xu

  • Battery-free short-range self-powered wireless sensor network (SS-WSN) using TENG based direct sensory transmission (TDST) mechanism

    Feng Wen;Hao Wang;Tianyiyi He;Qiongfeng Shi

  • Soft Modular Glove with Multimodal Sensing and Augmented Haptic Feedback Enabled by Materials’ Multifunctionalities

    Unknown

Frequent Co-Authors

Chengkuo Lee
Chengkuo Lee National University of Singapore
Qiongfeng Shi
Qiongfeng Shi National University of Singapore
Tianyiyi He
Tianyiyi He National University of Singapore
Ting Zhang
Ting Zhang Chinese Academy of Sciences
Mehmet Rasit Yuce
Mehmet Rasit Yuce Monash University
Aaron Thean
Aaron Thean National University of Singapore

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Related Online Degrees & Career Pathways

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Understanding career options and degree pathways is crucial for making informed decisions that shape your professional future in the dynamic field of Electronics and Electrical Engineering.

For those exploring suitable careers, insights on jobs for introverts can help identify roles that align with your personality and strengths.

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