World's Best Scientists 2026 revealed!
Grantham K. H. Pang

Grantham K. H. Pang

D-Index & Metrics

Computer Science

D-Index
38
Citations
6739
World Ranking
10173
National Ranking
1262

Grantham K. H. Pang 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 Grantham K. H. Pang 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Grantham K. H. Pang 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 Grantham K. H. Pang 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Computer vision

Grantham K. H. Pang mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Wavelet transform. His Artificial intelligence research includes themes of Optical engineering and Machine learning. His research on Computer vision often connects related topics like Intelligent transportation system.

Grantham K. H. Pang combines subjects such as Image resolution, Background subtraction and Feature with his study of Feature extraction. The Wavelet transform study combines topics in areas such as Classifier, Quadratic classifier and Backpropagation. His Image processing research includes elements of Acoustics and Yarn.

His most cited work include:

  • Defect detection in textured materials using Gabor filters (378 citations)
  • Fabric defect detection by Fourier analysis (316 citations)
  • Review article: Automated fabric defect detection-A review (260 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Computer vision, Expert system, Pattern recognition and Control engineering. Feature extraction, Image segmentation, Segmentation, Wavelet transform and Wavelet are the subjects of his Artificial intelligence studies. His work in Image processing, Object detection, Feature, Texture and Pixel are all subfields of Computer vision research.

His research integrates issues of Control system, Systems engineering, Process control, Software engineering and Design knowledge in his study of Expert system. His research links Visual inspection with Pattern recognition. The concepts of his Control engineering study are interwoven with issues in Robustness, Control theory and Fuzzy logic.

He most often published in these fields:

  • Artificial intelligence (40.00%)
  • Computer vision (21.82%)
  • Expert system (16.97%)

What were the highlights of his more recent work (between 2012-2020)?

  • Artificial intelligence (40.00%)
  • Electric vehicle (4.24%)
  • Mathematical optimization (6.06%)

In recent papers he was focusing on the following fields of study:

Grantham K. H. Pang mostly deals with Artificial intelligence, Electric vehicle, Mathematical optimization, Optimization problem and Pattern recognition. The various areas that Grantham K. H. Pang examines in his Artificial intelligence study include Partition and Computer vision. His work on Rotation, Texture, Image processing and Wavelet as part of general Computer vision research is often related to Bollinger Bands, thus linking different fields of science.

In his work, Automotive engineering and Genetic algorithm is strongly intertwined with Battery, which is a subfield of Electric vehicle. Grantham K. H. Pang works mostly in the field of Mathematical optimization, limiting it down to topics relating to Wireless sensor network and, in certain cases, Evolution strategy, Pareto principle and Range, as a part of the same area of interest. His Pattern recognition research incorporates themes from Visual inspection, Point, Computer graphics and Image.

Between 2012 and 2020, his most popular works were:

  • Fabric inspection based on the Elo rating method (44 citations)
  • An Optimization Model for Electric Vehicle Battery Charging at a Battery Swapping Station (34 citations)
  • A decision support system for optimizing dynamic courier routing operations (31 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Operating system
  • Electrical engineering

Grantham K. H. Pang focuses on Optimization problem, Differential evolution, Electric vehicle, Particle swarm optimization and Artificial intelligence. As a part of the same scientific study, Grantham K. H. Pang usually deals with the Optimization problem, concentrating on Heuristics and frequently concerns with Electricity, Fuzzy control system and Scheduling. His Differential evolution study combines topics from a wide range of disciplines, such as Evolutionary algorithm, Genetic algorithm and Battery, Electric-vehicle battery.

His work carried out in the field of Electric-vehicle battery brings together such families of science as Schedule, Automotive engineering and Simulation. He interconnects Machine learning and Computer graphics in the investigation of issues within Artificial intelligence. His work deals with themes such as Range, Wireless sensor network, Algorithm design and Crossover, which intersect with Mathematical optimization.

Best Publications

  • Defect detection in textured materials using Gabor filters

    A. Kumar;G.K.H. Pang

  • Review article: Automated fabric defect detection-A review

    Henry Y. T. Ngan;Grantham K. H. Pang;Nelson H. C. Yung

  • Fabric defect detection by Fourier analysis

    Chi-Ho Chan;G.K.H. Pang

  • Wavelet based methods on patterned fabric defect detection

    Henry Y. T. Ngan;Grantham K. H. Pang;S. P. Yung;Michael K. Ng

  • People Counting and Human Detection in a Challenging Situation

    Ya-Li Hou;Grantham K H Pang

  • Defect detection in textured materials using optimized filters

    A. Kumar;G.K.H. Pang

  • Regularity Analysis for Patterned Texture Inspection

    H.Y.T. Ngan;G.K.H. Pang

  • Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches

    G.K.H. Pang;K. Takabashi;T. Yokota;H. Takenaga

  • Evaluation of a Low-cost MEMS Accelerometer for Distance Measurement

    Grantham Pang;Hugh Liu

  • Positioning beacon system using digital camera and LEDs

    Hugh Sing Liu;G. Pang

  • An Optimization Model for Electric Vehicle Battery Charging at a Battery Swapping Station

    Hao Wu;Grantham Kwok Hung Pang;King Lun Choy;Hoi Yan Lam

  • Fabric inspection based on the Elo rating method

    Colin S.C. Tsang;Henry Y.T. Ngan;Grantham K.H. Pang

  • Robust fabric defect detection and classification using multiple adaptive wavelets

    X. Yang;G. Pang;N. Yung

  • Discriminative fabric defect detection using adaptive wavelets

    Xue Zhi Yang;Grantham K.H. Pang;Nelson Hon Ching Yung

  • Novel method for patterned fabric inspection using Bollinger bands

    Henry Y. T. Ngan;Grantham K. H. Pang

  • Camera calibration from road lane markings

    George Shiu Kai Fung;Nelson Hon Ching Yung;Grantham K.H. Pang

  • LED wireless

    G. Pang;T. Kwan;H. Liu;Chi-Ho Chan

  • Accelerometer for mobile robot positioning

    H.H.S. Liu;G.K.H. Pang

  • Fabric defect segmentation using multichannel blob detectors

    Ajay Kumar;Grantham K.H. Pang

  • Discriminative training approaches to fabric defect classification based on wavelet transform

    Xuezhi Yang;Grantham Pang;Nelson Yung

Frequent Co-Authors

King Lun Choy
King Lun Choy Hong Kong Polytechnic University
Ajay Kumar
Ajay Kumar Hong Kong Polytechnic University
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego
Mathukumalli Vidyasagar
Mathukumalli Vidyasagar Indian Institute of Technology Hyderabad
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Farrokh Janabi-Sharifi
Farrokh Janabi-Sharifi Toronto Metropolitan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Kwai-Sang Chin
Kwai-Sang Chin City University of Hong Kong

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