World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
11271
World Ranking
2192
National Ranking
30

Li-Chen Fu 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 Li-Chen Fu 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: 634 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Li-Chen Fu 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 Li-Chen Fu 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: 55 D-Index — 69th percentile

69% 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

  • 2004 - IEEE Fellow For contributions to robotic control and computer-integrated manufacturing systems.

Overview

Li-Chen Fu is affiliated with National Taiwan University in Taiwan and has made contributions primarily within the fields of Computer Science, Engineering, and Medicine. Their research spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Experimental and Cognitive Psychology, and Social Psychology.

The scientist's work frequently appears in several publication venues. These include:

  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Journal of Biomedical and Health Informatics
  • Sensors
  • International Journal of Social Robotics

Li-Chen Fu's research topics cover:

  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Emotion and Mood Recognition
  • Video Surveillance and Tracking Methods
  • Social Robot Interaction and HRI
  • Emergency and Acute Care Studies
  • Dementia and Cognitive Impairment Research

Recent papers by Li-Chen Fu illustrate a diversity of research areas and include the following:

  • Federated learning for predicting clinical outcomes in patients with COVID-19, 2021, Nature Medicine
  • Using Channel-Wise Attention for Deep CNN Based Real-Time Semantic Segmentation With Class-Aware Edge Information, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Hand pose estimation in object-interaction based on deep learning for virtual reality applications, 2020, Journal of Visual Communication and Image Representation
  • Early Detection of Parkinson's Disease by Neural Network Models, 2022, IEEE Access
  • Reading with robot and human companions in library literacy activities: A comparison study, 2020, British Journal of Educational Technology

The scientist has collaborated extensively with several co-authors, including:

  • Chu-Lin Tsai
  • Chien-Hua Huang
  • Yu-Ling Chang
  • Su-Ling Yeh
  • Pei-Yung Hsiao

Li-Chen Fu was awarded IEEE Fellow status in 2004 for contributions to robotic control and computer-integrated manufacturing systems.

Best Publications

  • Model-Free Predictive Current Control for Interior Permanent-Magnet Synchronous Motor Drives Based on Current Difference Detection Technique

    Cheng-Kai Lin;Tian-Hua Liu;Jen-te Yu;Li-Chen Fu

  • Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology

    Chao-Lin Wu;Chun-Feng Liao;Li-Chen Fu

  • Human-Centered Robot Navigation—Towards a Harmoniously Human–Robot Coexisting Environment

    Chi-Pang Lam;Chen-Tun Chou;Kuo-Hung Chiang;Li-Chen Fu

  • Robust adaptive decentralized control of robot manipulators

    L.-C. Fu

  • Robust Location-Aware Activity Recognition Using Wireless Sensor Network in an Attentive Home

    Ching-Hu Lu;Li-Chen Fu

  • An integrated, flexible, and Internet-based control architecture for home automation system in the Internet era

    Neng-Shiang Liang;Li-Chen Fu;Chao-Lin Wu

  • Globally stable robust tracking of nonlinear systems using variable structure control and with an application to a robotic manipulator

    L.-C. Fu;T.-L. Liao

  • Integrating Appearance and Edge Features for Sedan Vehicle Detection in the Blind-Spot Area

    Bin-Feng Lin;Yi-Ming Chan;Li-Chen Fu;Pei-Yung Hsiao

  • WLAN location determination in e-home via support vector classification

    Chao-Lin Wu;Li-Chen Fu;Feng-Li Lian

  • Adaptive stabilization of a class of uncertain switched nonlinear systems with backstepping control

    Ming-Li Chiang;Li-Chen Fu

  • An adaptive control scheme for coordinated multimanipulator systems

    J.-H. Jean;L.-C. Fu

  • Nonlinear adaptive control for flexible-link manipulators

    Jung Hua Yang;Feng Li Lian;Li Chen Fu

  • A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night

    Pei-Yung Hsiao;Chun-Wei Yeh;Shih-Shinh Huang;Li-Chen Fu

  • Driver assistance system for lane detection and vehicle recognition with night vision

    Chun-Che Wang;Shih-Shinh Huang;Li-Chen Fu

  • A fully adaptive decentralized control of robot manipulators

    Su-Hau Hsu;Li-Chen Fu

  • Intelligent robot deburring using adaptive fuzzy hybrid position/force control

    Feng-Yi Hsu;Li-Chen Fu

  • Assistive Control System for Upper Limb Rehabilitation Robot

    Sung-Hua Chen;Wei-Ming Lien;Wei-Wen Wang;Guan-De Lee

  • Region-Level Motion-Based Background Modeling and Subtraction Using MRFs

    Shih-Shinh Huang;Li-Chen Fu;Pei-Yung Hsiao

  • Petri-net and GA based approach to modeling, scheduling, and performance evaluation for wafer fabrication

    Jyh-Horn Chen;Li-Chen Fu;Ming-Hung Lin;An-Chih Huang

  • Averaging analysis for discrete time and sampled data adaptive systems

    E.-W. Bai;L.-C. Fu;S.S. Sastry

  • On-board vision system for lane recognition and front-vehicle detection to enhance driver's awareness

    Shih-Shinh Huang;Chung-Jen Chen;Pei-Yung Hsiao;Li-Chen Fu

Frequent Co-Authors

Shankar Sastry
Shankar Sastry University of California, Berkeley
Teh-Lu Liao
Teh-Lu Liao National Cheng Kung University
Jane Yung-jen Hsu
Jane Yung-jen Hsu National Taiwan University
Marc Bodson
Marc Bodson University of Utah
Shinji Hara
Shinji Hara University of Tokyo
Satoshi Tadokoro
Satoshi Tadokoro Tohoku University
Fumitoshi Matsuno
Fumitoshi Matsuno Kyoto University
Shao-Yi Chien
Shao-Yi Chien National Taiwan University
Susumu Tachi
Susumu Tachi University of Tokyo
Ching-Hua Lo
Ching-Hua Lo National Taiwan University

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