World's Best Scientists 2026 revealed!
Kar-Ann Toh

Kar-Ann Toh

D-Index & Metrics

Computer Science

D-Index
36
Citations
5436
World Ranking
11275
National Ranking
137

Kar-Ann Toh 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 Kar-Ann Toh 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Kar-Ann Toh 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 Kar-Ann Toh sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Kar-Ann Toh is affiliated with Yonsei University in South Korea and has contributed extensively to research in Computer Science and Engineering. Their work spans multiple subfields, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics, Biomedical Engineering, and Signal Processing.

The primary topics addressed in Kar-Ann Toh's research include:

  • Indoor and Outdoor Localization Technologies
  • Neural Networks and Applications
  • Machine Learning and Extreme Learning Machines (ELM)
  • Biometric Identification and Security
  • Domain Adaptation and Few-Shot Learning
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Fluorescence Microscopy Techniques

Their recent publications demonstrate a diverse set of interests and methods across several domains:

  • "Surface Plasmon Localization-Based Super-resolved Raman Microscopy," 2020, published in Nano Letters
  • "Super-resolved Raman microscopy using random structured light illumination: Concept and feasibility," 2021, published in The Journal of Chemical Physics
  • "Blockwise Recursive Moore-Penrose Inverse for Network Learning," 2021, published in IEEE Transactions on Systems Man and Cybernetics Systems
  • "An Analytic Layer-wise Deep Learning Framework with Applications to Robotics," 2021, published on arXiv (Cornell University)
  • "Correlation Projection for Analytic Learning of a Classification Network," 2021, published in Neural Processing Letters

Kar-Ann Toh frequently collaborates with a group of co-authors, including:

  • Donghyun Kim
  • Zhiping Lin
  • Huiping Zhuang
  • Hongki Lee
  • Kentaro Mochizuki

Their work often appears in several academic venues, highlighting their interdisciplinary and evolving research focus. Frequent publication venues include:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Access
  • Information Sciences
  • Nano Letters

Best Publications

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Alignment-Free Cancelable Fingerprint Templates Based on Local Minutiae Information

    Chulhan Lee;Jeung-Yoon Choi;Kar-Ann Toh;Sangyoun Lee

  • Benchmarking a reduced multivariate polynomial pattern classifier

    Kar-Ann Toh;Quoc-Long Tran;D. Srinivasan

  • Exploiting global and local decisions for multimodal biometrics verification

    K.-A. Toh;Xudong Jiang;Wei-Yun Yau

  • Fingerprint image quality analysis

    E. Lim;K.-A. Toh;P.N. Suganthan;X. Jiang

  • Deterministic neural classification

    Kar-Ann Toh

  • Identity verification through palm vein and crease texture

    Kar-Ann Toh;How-Lung Eng;Yuen-Siong Choo;Yoon-Leon Cha

  • Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

    Bilal Mirza;Zhiping Lin;Kar-Ann Toh

  • Face detection based on skin color likelihood

    Yuseok Ban;Sang-Ki Kim;Sooyeon Kim;Kar-Ann Toh

  • Micro-Doppler Mini-UAV Classification Using Empirical-Mode Decomposition Features

    Beom-Seok Oh;Xin Guo;Fangyuan Wan;Kar-Ann Toh

  • 2^N discretisation of biophasor in cancellable biometrics

    Andrew Beng Jin Teoh;Kar-Ann Toh;Wai Kuan Yip

  • SVM-based feature extraction for face recognition

    Sang-Ki Kim;Youn Jung Park;Kar-Ann Toh;Sangyoun Lee

  • An automatic drowning detection surveillance system for challenging outdoor pool environments

    Unknown

  • Biometric scores fusion based on total error rate minimization

    Kar-Ann Toh;Jaihie Kim;Sangyoun Lee

  • Between Classification-Error Approximation and Weighted Least-Squares Learning

    Kar-Ann Toh;How-Lung Eng

  • Realtime training on mobile devices for face recognition applications

    Kwontaeg Choi;Kar-Ann Toh;Hyeran Byun

  • DEWS: A Live Visual Surveillance System for Early Drowning Detection at Pool

    How-Lung Eng;Kar-Ann Toh;Wei-Yun Yau;Junxian Wang

  • Combination of hyperbolic functions for multimodal biometrics data fusion

    K.-A. Toh;Wei-Yun Yau

  • Maximizing area under ROC curve for biometric scores fusion

    Kar-Ann Toh;Jaihie Kim;Sangyoun Lee

  • Model-guided deformable hand shape recognition without positioning aids

    Wei Xiong;Kar-Ann Toh;Wei-Yun Yau;Xudong Jiang

  • Changeable Biometrics for Appearance Based Face Recognition

    MinYi Jeong;Chulhan Lee;Jongsun Kim;Jeung-Yoon Choi

Frequent Co-Authors

Zhiping Lin
Zhiping Lin Nanyang Technological University
Andrew Beng Jin Teoh
Andrew Beng Jin Teoh Yonsei University
Wei-Yun Yau
Wei-Yun Yau Institute for Infocomm Research
Jaihie Kim
Jaihie Kim Yonsei University
Xudong Jiang
Xudong Jiang Nanyang Technological University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Donghyun Kim
Donghyun Kim Yonsei University
Badong Chen
Badong Chen Xi'an Jiaotong University
Chien Chern Cheah
Chien Chern Cheah Nanyang Technological University
Amaury Lendasse
Amaury Lendasse University of Houston

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