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Clarence W. de Silva

Clarence W. de Silva

University of British Columbia
Canada

D-Index & Metrics

Computer Science

D-Index
35
Citations
5830
World Ranking
11618
National Ranking
455

Clarence W. de Silva 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 Clarence W. de Silva 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: 278 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Clarence W. de Silva 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 Clarence W. de Silva 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: 35 D-Index — 20th percentile

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

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

Research.com Recognitions

  • 2008 - Fellow of the Royal Society of Canada Academy of Science
  • 1994 - Fellow of the American Society of Mechanical Engineers
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Clarence W. de Silva is affiliated with the University of British Columbia in Canada and has a significant body of work spanning engineering and computer science fields. Their research primarily focuses on control and systems engineering, artificial intelligence, biomedical engineering, mechanical engineering, and computer vision and pattern recognition.

The scientist's recent publications include:

  • A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation, 2021, IEEE Transactions on Industrial Informatics
  • Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning, 2021, Reliability Engineering & System Safety
  • Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery, 2021, IEEE/ASME Transactions on Mechatronics
  • A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis, 2020, IEEE Transactions on Cybernetics
  • Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images, 2021, IEEE Transactions on Instrumentation and Measurement

The scientist's publications have appeared frequently in several outlets, including:

  • arXiv (Cornell University)
  • IEEE/ASME Transactions on Mechatronics
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Systems Man and Cybernetics Systems

Frequent collaborators include Tong Heng Lee, Kuangen Zhang, Jiahong Chen, Jing Wang, and Jun Ma.

Clarence W. de Silva's main topics of work cover:

  • Machine Fault Diagnosis Techniques
  • Robot Manipulation and Learning
  • Fault Detection and Control Systems
  • Soft Robotics and Applications
  • Domain Adaptation and Few-Shot Learning
  • Prosthetics and Rehabilitation Robotics
  • Iterative Learning Control Systems

The scientist has also contributed scholarly books published by Springer Nature, including a title on force and position control of mechatronic systems dated 2020.

Recognized by multiple professional organizations, awards include being named a Fellow of the Royal Society of Canada in 2008 under the Academy of Science and a Fellow of the American Society of Mechanical Engineers in 1994. They are also affiliated with The Canadian Academy of Engineering.

Best Publications

  • Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

    Min Xia;Teng Li;Lin Xu;Lizhi Liu

  • Intelligent Control: Fuzzy Logic Applications

    Clarence W. de Silva

  • A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

    Min Xia;Haidong Shao;Xiandong Ma;Clarence W. de Silva

  • Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

    Min Xia;Haidong Shao;Darren Williams;Siliang Lu

  • Control sensors and actuators

    Clarence W. De Silva

  • A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks

    Min Xia;Teng Li;Tongxin Shu;Jiafu Wan

  • Modified Stacked Auto-encoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

    Haidong Shao;Min Xia;Jiafu Wan;Clarence De Silva

  • Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features.

    Kuangen Zhang;Ming Hao;Jing Wang;Clarence W. de Silva

  • Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder

    Min Xia;Teng Li;Lizhi Liu;Lin Xu

  • Soft Computing and Tools of Intelligent Systems Design: Theory and Applications

    Unknown

  • Dominant feature selection for the fault diagnosis of rotary machines using modified genetic algorithm and empirical mode decomposition

    Lei Lu;Jihong Yan;Clarence W. de Silva

  • A machine-learning approach to multi-robot coordination

    Ying Wang;Clarence W. de Silva

  • A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis

    Kuangen Zhang;Jianwen Luo;Wentao Xiao;Wen Zhang

  • Autonomous mobile robot navigation in uneven and unstructured indoor environments

    Chaoqun Wang;Lili Meng;Sizhen She;Ian M. Mitchell

  • Multi-robot Box-pushing: Single-Agent Q-Learning vs. Team Q-Learning

    Ying Wang;Clarence De Silva

  • Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing

    Min Xia;Teng Li;Yunfei Zhang;Clarence W. de Silva

  • Application of a fuzzy classification technique in computer grading of fish products

    B.-G. Hu;R.G. Gosine;L.X. Cao;C.W. de Silva

  • Backtracking regression forests for accurate camera relocalization

    Lili Meng;Jianhui Chen;Frederick Tung;James J. Little

  • An Energy-Efficient Dual Prediction Scheme Using LMS Filter and LSTM in Wireless Sensor Networks for Environment Monitoring

    Tongxin Shu;Jiahong Chen;Vijay K. Bhargava;Clarence W. de Silva

  • Efficient Autonomous Robotic Exploration With Semantic Road Map in Indoor Environments

    Chaoqun Wang;Delong Zhu;Teng Li;Max Q.-H. Meng

  • Research laboratory for fish processing automation

    Clarence W. De Silva

  • Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images

    Haidong Shao;Wei Li;Min Xia;Yu Zhang

  • A multi-scale attention neural network for sensor location selection and nonlinear structural seismic response prediction

    Teng Li;Yuxin Pan;Kaitai Tong;Carlos E. Ventura

  • Mechatronic Systems : Devices, Design, Control, Operation and Monitoring

    Clarence W. de Silva

Frequent Co-Authors

Tong Heng Lee
Tong Heng Lee National University of Singapore
Kok Kiong Tan
Kok Kiong Tan National University of Singapore
Max Q.-H. Meng
Max Q.-H. Meng Southern University of Science and Technology
Houman Owhadi
Houman Owhadi California Institute of Technology
James J. Little
James J. Little University of British Columbia
Haidong Shao
Haidong Shao Hunan University
Saman K. Halgamuge
Saman K. Halgamuge University of Melbourne
Leonid Sigal
Leonid Sigal University of British Columbia
Vijay K. Bhargava
Vijay K. Bhargava University of British Columbia
Jiafu Wan
Jiafu Wan South China University of Technology

External Links

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Publications: 15

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Publications: 12

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Publications: 7

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