World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6577
World Ranking
11130
National Ranking
703

Moi Hoon Yap 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 Moi Hoon Yap 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: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Moi Hoon Yap 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 Moi Hoon Yap 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: 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

Moi Hoon Yap is affiliated with Manchester Metropolitan University in the United Kingdom. Their research spans multiple disciplines, primarily focusing on medicine and computer science, with significant contributions in the areas of computer vision and pattern recognition, endocrinology, diabetes and metabolism, rehabilitation, artificial intelligence, and radiology, nuclear medicine, and imaging.

The scientist's main topics of work include:

  • Diabetic Foot Ulcer Assessment and Management
  • Wound Healing and Treatments
  • AI in cancer detection
  • Pressure Ulcer Prevention and Management
  • Radiomics and Machine Learning in Medical Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Cutaneous Melanoma Detection and Management

Moi Hoon Yap has coauthored extensively with several researchers, including:

  • Bill Cassidy
  • Connah Kendrick
  • Neil D. Reeves
  • Joseph M Pappachan
  • Claire O'Shea

Their frequent publication venues highlight a focus on both peer-reviewed journals and conference proceedings. Key venues include:

  • arXiv (Cornell University)
  • Computers in Biology and Medicine
  • Proceedings of the 30th ACM International Conference on Multimedia
  • JOIV International Journal on Informatics Visualization
  • Zenodo (CERN European Organization for Nuclear Research)

Some recent papers published by Moi Hoon Yap are:

  • "AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images," 2022, IEEE Transactions on Medical Imaging
  • "Analysis of the ISIC image datasets: Usage, benchmarks and recommendations," 2021, Medical Image Analysis
  • "Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques," 2020, Computers in Biology and Medicine
  • "Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation," 2020, arXiv (Cornell University)
  • "A comprehensive review of past and present image inpainting methods," 2020, Computer Vision and Image Understanding

Moi Hoon Yap has also contributed to book publications under Springer Science+Business Media, including two editions of the "Diabetic Foot Ulcers Grand Challenge" published in 2022 and 2023.

Best Publications

  • Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

    Moi Hoon Yap;Gerard Pons;Joan Marti;Sergi Ganau

  • SAMM: A Spontaneous Micro-Facial Movement Dataset

    Adrian K. Davison;Cliff Lansley;Nicholas Costen;Kevin Tan

  • Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods

    Manu Goyal;Amanda Oakley;Priyanka Bansal;Darren Dancey

  • Analysis of the ISIC image datasets: Usage, benchmarks and recommendations.

    Bill Cassidy;Connah Kendrick;Andrzej Brodzicki;Joanna Jaworek-Korjakowska

  • DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification

    Manu Goyal;Neil D. Reeves;Adrian K. Davison;Satyan Rajbhandari

  • Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques.

    Manu Goyal;Neil D. Reeves;Satyan Rajbhandari;Naseer Ahmad

  • Robust Methods for Real-Time Diabetic Foot Ulcer Detection and Localization on Mobile Devices

    Manu Goyal;Neil D. Reeves;Satyan Rajbhandari;Moi Hoon Yap

  • Automatic mass detection in mammograms using deep convolutional neural networks

    Richa Agarwal;Oliver Diaz;Xavier Lladó;Moi Hoon Yap

  • MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge

    John See;Moi Hoon Yap;Jingting Li;Xiaopeng Hong

  • Fully convolutional networks for diabetic foot ulcer segmentation

    Manu Goyal;Moi Hoon Yap;Neil D. Reeves;Satyan Rajbhandari

  • Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

    Moi Hoon Yap;Ryo Hachiuma;Azadeh Alavi;Raphael Brüngel

  • A comprehensive review of past and present image inpainting methods

    Jireh Jam;Connah Kendrick;Kevin Walker;Vincent Drouard

  • Breast ultrasound region of interest detection and lesion localisation.

    Moi Hoon Yap;Manu Goyal;Fatima Osman;Robert Marti

  • Deep learning for mass detection in Full Field Digital Mammograms.

    Richa Agarwal;Oliver Díaz;Oliver Díaz;Moi Hoon Yap;Xavier Lladó

  • A novel algorithm for initial lesion detection in ultrasound breast images.

    Moi Hoon Yap;Eran A. Edirisinghe;Helmut E. Bez

  • Objective Classes for Micro-Facial Expression Recognition

    Adrian K. Davison;Walied Merghani;Moi Hoon Yap

  • Breast ultrasound lesions recognition:: end-to-end deep learning approaches

    Moi Hoon Yap;Manu Goyal;Fatima M Osman;Robert Martí

  • The DFUC 2020 dataset: Analysis towards diabetic foot ulcer detection

    Bill Cassidy;Neil D. Reeves;Joseph M. Pappachan;Joseph M. Pappachan;Joseph M. Pappachan;David Gillespie

  • SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset

    Chuin Hong Yap;Connah Kendrick;Moi Hoon Yap

  • A New Mobile Application for Standardizing Diabetic Foot Images

    Moi Hoon Yap;Katie E Chatwin;Choon-Ching Ng;Caroline A Abbott

  • Automatic Wrinkle Detection Using Hybrid Hessian Filter

    Choon-Ching Ng;Moi Hoon Yap;Nicholas Costen;Baihua Li

  • Facial Micro-Expressions Grand Challenge 2018 Summary

    Moi Hoon Yap;John See;Xiaopeng Hong;Su-Jing Wang

  • Spotting Macro-and Micro-expression Intervals in Long Video Sequences

    Ying He;Su-Jing Wang;Jingting Li;Moi Hoon Yap

  • Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation

    Adrian Davison;Walied Merghani;Cliff Lansley;Choon-Ching Ng

Frequent Co-Authors

Reyer Zwiggelaar
Reyer Zwiggelaar Aberystwyth University
Eibe Frank
Eibe Frank University of Waikato
Subhas Chandra Mukhopadhyay
Subhas Chandra Mukhopadhyay Macquarie University
Andrew J.M. Boulton
Andrew J.M. Boulton University of Manchester
John See
John See Heriot-Watt University Malaysia
David G. Armstrong
David G. Armstrong University of Southern California
Xavier Lladó
Xavier Lladó University of Girona
David B. Ascher
David B. Ascher University of Queensland
Hideo Saito
Hideo Saito Keio University
Wen-Huang Cheng
Wen-Huang Cheng National Yang Ming Chiao Tung University

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