World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5879
World Ranking
12063
National Ranking
160

Wei-Yun Yau 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 Wei-Yun Yau 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Wei-Yun Yau 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 Wei-Yun Yau 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Wei-Yun Yau is affiliated with the Institute for Infocomm Research in Singapore. Their research spans multiple domains within computer science and engineering, with a significant focus on robotics, sensor-based localization, and autonomous systems.

Their recent publications include the following papers:

  • Accurate IMU Factor Using Switched Linear Systems for VIO, 2020, IEEE Transactions on Industrial Electronics
  • Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing, 2023, Communications of the ACM
  • Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search, 2023, IEEE Transactions on Robotics
  • Trajectory Generation and Control of a Lower Limb Exoskeleton for Gait Assistance, 2022, Journal of Intelligent & Robotic Systems
  • PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search, 2022, IEEE Robotics and Automation Letters

They frequently co-author with the following researchers:

  • Hongliang Guo
  • Chee-Meng Chew
  • Daniela Rus
  • Jianle Chan
  • Albertus Hendrawan Adiwahono

Their work is often published in venues such as:

  • IEEE Robotics and Automation Letters
  • arXiv (Cornell University)
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Transactions on Industrial Electronics

Wei-Yun Yau's main fields of study encompass:

  • Computer Science
  • Engineering

Within these fields, their research subfields include:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Biomedical Engineering

Their main topics of work focus on:

  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Distributed Control Multi-Agent Systems
  • Reinforcement Learning in Robotics
  • Autonomous Vehicle Technology and Safety
  • Advanced Vision and Imaging
  • Prosthetics and Rehabilitation Robotics

Best Publications

  • Fingerprint minutiae matching based on the local and global structures

    Xudong Jiang;Wei-Yun Yau

  • A perspective on medical infrared imaging

    L J Jiang;E Y K Ng;A C B Yeo;S Wu

  • Structured AutoEncoders for Subspace Clustering.

    Xi Peng;Jiashi Feng;Shijie Xiao;Wei-Yun Yau

  • Person recognition by fusing palmprint and palm vein images based on Laplacianpalm representation

    Jian-Gang Wang;Wei-Yun Yau;Andy Suwandy;Eric Sung

  • Fingerprint quality and validity analysis

    Eyung Lim;Xudong Jiang;Weiyun Yau

  • Detecting the fingerprint minutiae by adaptive tracing the gray-level ridge

    Xudong Jiang;Wei-Yun Yau;Wee Ser

  • Deep subspace clustering with sparsity prior

    Xi Peng;Shijie Xiao;Jiashi Feng;Wei-Yun Yau

  • Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning

    Seyedehsamaneh Shojaeilangari;Wei-Yun Yau;Karthik Nandakumar;Jun Li

  • 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

  • Boosting dense SIFT descriptors and shape contexts of face images for gender recognition

    Jian-Gang Wang;Jun Li;Wei-Yun Yau;Eric Sung

  • Combining singular points and orientation image information for fingerprint classification

    Jun Li;Wei-Yun Yau;Han Wang

  • Identity verification through palm vein and crease texture

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

  • Human Action Recognition With Video Data: Research and Evaluation Challenges

    Manoj Ramanathan;Wei-Yun Yau;Eam Khwang Teoh

  • Constrained nonlinear models of fingerprint orientations with prediction

    Jun Li;Wei-Yun Yau;Han Wang

  • Multichannel Pulse-Coupled-Neural-Network-Based Color Image Segmentation for Object Detection

    Hualiang Zhuang;Kay-Soon Low;Wei-Yun Yau

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

    Unknown

  • 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

  • Fusion of Palmprint and Palm Vein Images for Person Recognition Based on "Laplacianpalm" Feature

    Jian-Gang Wang;Wei-Yun Yau;A. Suwandy;E. Sung

  • Model-guided deformable hand shape recognition without positioning aids

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

  • A reduced multivariate polynomial model for multimodal biometrics and classifiers fusion

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

Frequent Co-Authors

Kar-Ann Toh
Kar-Ann Toh Yonsei University
Xudong Jiang
Xudong Jiang Nanyang Technological University
Kay Soon Low
Kay Soon Low National University of Singapore
Wee Ser
Wee Ser Nanyang Technological University
Xi Peng
Xi Peng Sichuan University
Jiashi Feng
Jiashi Feng ByteDance
Andrew Beng Jin Teoh
Andrew Beng Jin Teoh Yonsei University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Karthik Nandakumar
Karthik Nandakumar Michigan State University

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