World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5309
World Ranking
10346
National Ranking
93

Li-Wei Ko publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Li-Wei Ko sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Li-Wei Ko D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Li-Wei Ko sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Li-Wei Ko is affiliated with the National Yang Ming Chiao Tung University in Taiwan. Their research primarily focuses on the intersection of neuroscience and medicine, contributing extensively to fields such as cognitive neuroscience, psychiatry and mental health, cellular and molecular neuroscience, biomedical engineering, and neurology.

The main topics of Li-Wei Ko's work include:

  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Attention Deficit Hyperactivity Disorder
  • Neuroscience and Neural Engineering
  • Neural and Behavioral Psychology Studies
  • Sleep and Wakefulness Research

Li-Wei Ko has published research in several frequent venues such as:

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Journal of Neural Engineering
  • Sensors
  • Brain Sciences
  • Biosensors

Recent publications by Li-Wei Ko include:

  • "Eyeblink recognition improves fatigue prediction from single-channel forehead EEG in a realistic sustained attention task," 2020, Journal of Neural Engineering
  • "A pilot study on essential oil aroma stimulation for enhancing slow-wave EEG in sleeping brain," 2021, Scientific Reports
  • "Exploration of User's Mental State Changes during Performing Brain-Computer Interface," 2020, Sensors

Other notable papers co-authored in linked fields are:

  • "Resting-State EEG Signal for Major Depressive Disorder Detection: A Systematic Validation on a Large and Diverse Dataset," 2021, Biosensors
  • "Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review," 2023, IEEE Journal of Biomedical and Health Informatics

Li-Wei Ko has collaborated frequently with researchers including:

  • Tzyy-Ping Jung
  • I-Chun Chen
  • Chun-Ren Phang
  • Rupesh Kumar Chikara
  • Congying He

Best Publications

  • Wireless and Wearable EEG System for Evaluating Driver Vigilance

    Chin-Teng Lin;Chun-Hsiang Chuang;Chih-Sheng Huang;Shu-Fang Tsai

  • Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning

    Chin-Teng Lin;Yu-Chieh Chen;Teng-Yi Huang;Tien-Ting Chiu

  • Noninvasive Neural Prostheses Using Mobile and Wireless EEG

    Chin-Teng Lin;Li-Wei Ko;Jin-Chern Chiou;Jeng-Ren Duann

  • Adaptive EEG-Based Alertness Estimation System by Using ICA-Based Fuzzy Neural Networks

    Chin-Teng Lin;Li-Wei Ko;I-Fang Chung;Teng-Yi Huang

  • An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation

    Chin-Teng Lin;Kuan-Cheng Chang;Chun-Ling Lin;Chia-Cheng Chiang

  • Biosensor Technologies for Augmented Brain–Computer Interfaces in the Next Decades

    Lun-De Liao;Chin-Teng Lin;K. McDowell;A. E. Wickenden

  • Generalized EEG-Based Drowsiness Prediction System by Using a Self-Organizing Neural Fuzzy System

    Fu-Chang Lin;Li-Wei Ko;Chun-Hsiang Chuang;Tung-Ping Su

  • Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces – A Mini-Review

    Chin Teng Lin;Li Wei Ko;Meng Hsiu Chang;Jeng Ren Duann;Jeng Ren Duann

  • EEG-based subject- and session-independent drowsiness detection: an unsupervised approach

    Nikhil R. Pal;Chien-Yao Chuang;Li-Wei Ko;Chih-Feng Chao

  • EEG-Based Assessment of Driver Cognitive Responses in a Dynamic Virtual-Reality Driving Environment

    Chin-Teng Lin;I-Fang Chung;Li-Wei Ko;Yu-Chieh Chen

  • Spatial and temporal EEG dynamics of motion sickness

    Yu Chieh Chen;Yu Chieh Chen;Jeng Ren Duann;Jeng Ren Duann;Shang Wen Chuang;Shang Wen Chuang;Chun Ling Lin;Chun Ling Lin

  • EEG-Based Learning System for Online Motion Sickness Level Estimation in a Dynamic Vehicle Environment

    Chin-Teng Lin;Shu-Fang Tsai;Li-Wei Ko

  • Spatial and temporal EEG dynamics of dual-task driving performance.

    Chin Teng Lin;Shi An Chen;Tien Ting Chiu;Hong Zhang Lin

  • Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients

    Zehong Cao;Chin-Teng Lin;Kuan-Lin Lai;Li-Wei Ko

  • Knowledge-based identification of sleep stages based on two forehead electroencephalogram channels

    Chih Sheng Huang;Chun Ling Lin;Li-Wei Ko;Shen Yi Liu

  • Using novel MEMS EEG sensors in detecting drowsiness application

    Jin-Chern Chiou;Li-Wei Ko;Chin-Teng Lin;Chao-Ting Hong

  • An EEG-based perceptual function integration network for application to drowsy driving

    Chun-Hsiang Chuang;Chih-Sheng Huang;Li-Wei Ko;Chin-Teng Lin

  • Tonic and phasic EEG and behavioral changes induced by arousing feedback.

    Chin Teng Lin;Kuan Chih Huang;Kuan Chih Huang;Chih Feng Chao;Chih Feng Chao;Jian Ann Chen

  • EEG Effects of Motion Sickness Induced in a Dynamic Virtual Reality Environment

    Chin-Teng Lin;Shang-Wen Chuang;Yu-Chieh Chen;Li-Wei Ko

  • Gender differences in wayfinding in virtual environments with global or local landmarks

    Chin Teng Lin;Teng Yi Huang;Wen Jing Lin;Wen Jing Lin;Shu Yen Chang

  • Biosensor Technologies for Augmented Brain-Computer Interfaces in the Next Decades This paper focuses on recent and projected advances of a wide range of sensor and acquisition neurotechnologies enabling online brain-signal processing in everyday, real-life environments, and highlights current and future approaches to address the challenges in this field.

    Lun-De Liao;Chin-Teng Lin;Kaleb McDowell;Alma E. Wickenden

Frequent Co-Authors

Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Klaus Gramann
Klaus Gramann Technical University of Berlin
Shinn-Ying Ho
Shinn-Ying Ho National Yang Ming Chiao Tung University
Daisy L. Hung
Daisy L. Hung National Central University
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Yufei Huang
Yufei Huang University of Pittsburgh
Zehong Cao
Zehong Cao University of South Australia
Han-Ping D. Shieh
Han-Ping D. Shieh National Yang Ming Chiao Tung University
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego

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