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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
92
Citations
36554
World Ranking
543
National Ranking
73

Sam Kwong 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 Sam Kwong 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 591 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Sam Kwong 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 Sam Kwong sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 92 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2014 - IEEE Fellow For contributions to optimization techniques in cybernetics and video coding

Overview

Sam Kwong is affiliated with Lingnan University in China and has a research focus primarily in the field of Computer Science. Their work has concentrated extensively on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing, and Computational Theory and Mathematics.

Kwong's research covers several main topics such as Advanced Image Processing Techniques, Image and Video Quality Assessment, Image Enhancement Techniques, Visual Attention and Saliency Detection, Advanced Vision and Imaging, Video Coding and Compression Technologies, and Advanced Image Fusion Techniques.

Recent papers by Kwong include the following:

  • "Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement" (2022) published in IEEE Transactions on Image Processing
  • "Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images" (2020) published in IEEE Transactions on Image Processing
  • "ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection" (2020) published in IEEE Transactions on Cybernetics
  • "PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators" (2023) published in IEEE Transactions on Image Processing
  • "Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization" (2020) published in IEEE Transactions on Cybernetics

Frequent co-authors include Enrique Herrera-Viedma, Karen Panetta, Mariagrazia Dotoli, Yo-Ping Huang, and Róbert Kozma.

Among the common venues where Kwong has published are:

  • arXiv (Cornell University)
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia

Kwong has also contributed to book publications, notably a forthcoming work titled Computational Intelligence for High-Dimensional Machine Learning to be published by Springer Nature in 2025.

In recognition of contributions to optimization techniques in cybernetics and video coding, Kwong was named an IEEE Fellow in 2014.

Best Publications

  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

    Chunle Guo;Chongyi Li;Jichang Guo;Chen Change Loy

  • Genetic algorithms: concepts and applications [in engineering design]

    K.F. Man;K.S. Tang;S. Kwong

  • Gbest-guided artificial bee colony algorithm for numerical function optimization

    Guopu Zhu;Sam Kwong

  • An Underwater Image Enhancement Benchmark Dataset and Beyond

    Chongyi Li;Chunle Guo;Wenqi Ren;Runmin Cong

  • Genetic algorithms and their applications

    K.S. Tang;K.F. Man;S. Kwong;Q. He

  • An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition

    Ke Li;Kalyanmoy Deb;Qingfu Zhang;Sam Kwong

  • Genetic Algorithms: Concepts and Applications

    K. F. Man;K. S. Tang;S. Kwong

  • Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement

    Unknown

  • An information-based sequence distance and its application to whole mitochondrial genome phylogeny

    Ming Li;Jonathan H. Badger;Xin Chen;Sam Kwong

  • Genetic Algorithms : Concepts and Designs

    Unknown

  • A compression algorithm for DNA sequences and its applications in genome comparison

    Xin Chen;Sam Kwong;Ming Li

  • An optimal fuzzy PID controller

    K.S. Tang;Kim Fung Man;Guanrong Chen;S. Kwong

  • Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition

    Ke Li;Alvaro Fialho;Sam Kwong;Qingfu Zhang

  • Stable Matching-Based Selection in Evolutionary Multiobjective Optimization

    Ke Li;Qingfu Zhang;Sam Kwong;Miqing Li

  • Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding

    Zhaoqing Pan;Yun Zhang;Sam Kwong

  • Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection

    Chi-Ho Tsang;Sam Kwong;Hanli Wang

  • Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images

    Chongyi Li;Runmin Cong;Junhui Hou;Sanyi Zhang

  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

    Qijian Zhang;Runmin Cong;Chongyi Li;Ming-Ming Cheng

  • G-MS2F

    Pengjie Tang;Hanli Wang;Sam Kwong

  • Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction

    Hanli Wang;Sam Kwong;Yaochu Jin;Wei Wei

  • Fast Motion Estimation Based on Content Property for Low-Complexity H.265/HEVC Encoder

    Zhaoqing Pan;Jianjun Lei;Yun Zhang;Xingming Sun

  • Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems

    Zi-Jia Wang;Zhi-Hui Zhan;Ying Lin;Wei-Jie Yu

  • Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization

    Xiao-Fang Liu;Zhi-Hui Zhan;Ying Gao;Jie Zhang

  • ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection

    Chongyi Li;Runmin Cong;Sam Kwong;Junhui Hou

  • Machine Learning-Based Coding Unit Depth Decisions for Flexible Complexity Allocation in High Efficiency Video Coding

    Yun Zhang;Sam Kwong;Xu Wang;Hui Yuan

Frequent Co-Authors

Junhui Hou
Junhui Hou City University of Hong Kong
Shiqi Wang
Shiqi Wang City University of Hong Kong
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Runmin Cong
Runmin Cong Shandong University
Zhi-Hui Zhan
Zhi-Hui Zhan Nankai University
Jiwu Huang
Jiwu Huang Shenzhen University
Wenhan Yang
Wenhan Yang Peking University
Degang Chen
Degang Chen North China Electric Power University
Yingxu Wang
Yingxu Wang University of Calgary

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