World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6235
World Ranking
11171
National Ranking
339

Sai Ho Ling 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 Sai Ho Ling 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Sai Ho Ling 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 Sai Ho Ling 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

Sai Ho Ling is affiliated with the University of Technology Sydney in Australia. Their research spans the intersection of medicine, engineering, and computer science, with a substantial focus on biomedical engineering and artificial intelligence applied to medical imaging and analysis.

The scientist's work primarily concentrates on several specific topics:

  • Medical Imaging and Analysis
  • Medical Image Segmentation Techniques
  • AI in cancer detection
  • Lung Cancer Diagnosis and Treatment
  • EEG and Brain-Computer Interfaces
  • Radiomics and Machine Learning in Medical Imaging
  • Scoliosis diagnosis and treatment

The main fields of study they contribute to include:

  • Medicine
  • Engineering
  • Computer Science

Subfields within their research are centered on:

  • Biomedical Engineering
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition

Sai Ho Ling has coauthored frequently with several researchers, including:

  • Steven W. Su
  • Juan Lyu
  • Yong-Ping Zheng
  • Zixun Huang
  • Afshin Shoeibi

Their research has been published extensively in a range of academic venues. The most frequent publication outlets include:

  • Sensors
  • arXiv (Cornell University)
  • Biomedical Signal Processing and Control
  • SSRN Electronic Journal
  • Computerized Medical Imaging and Graphics

Some recent notable papers by Sai Ho Ling are:

  • VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images, 2021, Medical Image Analysis
  • Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review, 2022, Frontiers in Molecular Neuroscience
  • Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization, 2021, IEEE Transactions on Evolutionary Computation
  • Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review, 2022, Information Fusion
  • Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review, 2023, Computers in Biology and Medicine

Best Publications

  • Tuning of the structure and parameters of a neural network using an improved genetic algorithm

    F.H.F. Leung;H.K. Lam;S.H. Ling;P.K.S. Tam

  • Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications

    S.H. Ling;H.H.C. Iu;K.Y. Chan;H.K. Lam

  • VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

    Anjany Sekuboyina;Malek E. Husseini;Amirhossein Bayat;Maximilian Löffler

  • Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System

    Rifai Chai;Ganesh R. Naik;Tuan Nghia Nguyen;Sai Ho Ling

  • Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging

    S.H. Ling;H. Iu;F.H.F. Leung;K.Y. Chan

  • A novel genetic-algorithm-based neural network for short-term load forecasting

    S.H. Ling;F.H.F. Leung;H.K. Lam;Yim-Shu Lee

  • Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks.

    Rifai Chai;Sai Ho Ling;Phyo Phyo San;Ganesh R. Naik

  • Short-term electric load forecasting based on a neural fuzzy network

    S.H. Ling;F.H.F. Leung;H.K. Lam;P.K.S. Tam

  • An Improved Genetic Algorithm with Average-bound Crossover and Wavelet Mutation Operations

    S. H. Ling;F. H. F. Leung

  • Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications

    Talha Ali Khan;Sai Ho Ling

  • Brain–Computer Interface Classifier for Wheelchair Commands Using Neural Network With Fuzzy Particle Swarm Optimization

    Rifai Chai;Sai Ho Ling;Gregory P. Hunter;Yvonne Tran

  • Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming

    Ammara Mehmood;Aneela Zameer;Sai Ho Ling;Ata ur Rehman

  • Efficient diagnosis system for Parkinson's disease using deep belief network

    Ali H. Al-Fatlawi;Mohammed H. Jabardi;Sai Ho Ling

  • Design of neuro-computing paradigms for nonlinear nanofluidic systems of MHD Jeffery–Hamel flow

    Ammara Mehmood;Nouman-ul Haq;Aneela Zameer;Sai Ho Ling

  • Diagnosis of hypoglycemic episodes using a neural network based rule discovery system

    K. Y. Chan;S. H. Ling;T. S. Dillon;H. T. Nguyen

  • Tuning of the structure and parameters of neural network using an improved genetic algorithm

    H.K. Lam;S.H. Ling;F.H.F. Leung;P.K.S. Tam

  • Improved genetic algorithm for economic load dispatch with valve-point loadings

    S.H. Ling;H.K. Lam;F.H.F. Leung;Y.S. Lee

  • A study of neural-network-based classifiers for material classification

    H. K. Lam;Udeme Ekong;Hongbin Liu;Bo Xiao

  • Synchronization of Chaotic Systems Using Time-Delayed Fuzzy State-Feedback Controller

    H.K. Lam;Wing-Kuen Ling;H.H.-C. Lu;S.S.H. Ling

  • A novel hybrid gravitational search particle swarm optimization algorithm

    Talha Ali Khan;Sai Ho Ling

  • Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm

    F.H.F. Leung;H.K. Lam;S.H. Ling;P.K.S. Tam

Frequent Co-Authors

Frank H. F. Leung
Frank H. F. Leung Hong Kong Polytechnic University
Hak-Keung Lam
Hak-Keung Lam King's College London
Kit Yan Chan
Kit Yan Chan Curtin University
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia
Tharam S. Dillon
Tharam S. Dillon La Trobe University
Yong-Ping Zheng
Yong-Ping Zheng Hong Kong Polytechnic University
Ganesh R. Naik
Ganesh R. Naik Flinders University
Ashley Craig
Ashley Craig University of Sydney
Anh V. Nguyen
Anh V. Nguyen University of Queensland
Hongbin Liu
Hongbin Liu King's College London

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