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D-Index
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Citations
8800
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820
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270

Computer Science

D-Index
35
Citations
9953
World Ranking
11440
National Ranking
1419

Kede Ma 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 Kede Ma 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: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Kede Ma 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 Kede Ma 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

  • 2025 - Research.com Rising Stars Award

Overview

Kede Ma is affiliated with the City University of Hong Kong in China and has contributed extensively to the field of computer science, with a primary focus on computer vision and pattern recognition. Their work spans fundamental and applied research in image and video quality assessment as well as advanced image processing methodologies.

The scientist's research predominantly covers the following topics:

  • Image and Video Quality Assessment
  • Advanced Image Fusion Techniques
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Visual Attention and Saliency Detection
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Kede Ma has a strong publication record in major journals and repositories in the field. Frequent venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Visualization and Computer Graphics

Recent papers with significant citation impact include:

  • "Image Quality Assessment: Unifying Structure and Texture Similarity," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion," 2020, IEEE Transactions on Image Processing
  • "Continual Learning for Blind Image Quality Assessment," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos," 2021, IEEE Transactions on Visualization and Computer Graphics
  • "Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Kede Ma collaborates frequently with colleagues known in the field, including:

  • Yuming Fang
  • Guangtao Zhai
  • Dingquan Li
  • Weixia Zhang
  • Xiaokang Yang

Their work integrates approaches from related subfields such as media technology, artificial intelligence, atomic and molecular physics and optics, and biomedical engineering, with the strongest focus on computer vision and pattern recognition.

Best Publications

  • Perceptual Quality Assessment for Multi-Exposure Image Fusion

    Kede Ma;Kai Zeng;Zhou Wang

  • Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption

    Kede Ma;Weiming Zhang;Xianfeng Zhao;Nenghai Yu

  • Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network

    Weixia Zhang;Kede Ma;Jia Yan;Dexiang Deng

  • Image Quality Assessment: Unifying Structure and Texture Similarity.

    Keyan Ding;Kede Ma;Shiqi Wang;Eero P. Simoncelli

  • Waterloo Exploration Database: New Challenges for Image Quality Assessment Models

    Kede Ma;Zhengfang Duanmu;Qingbo Wu;Zhou Wang

  • End-to-End Blind Image Quality Assessment Using Deep Neural Networks

    Kede Ma;Wentao Liu;Kai Zhang;Zhengfang Duanmu

  • Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

    Weixia Zhang;Kede Ma;Guangtao Zhai;Xiaokang Yang

  • Reversibility improved data hiding in encrypted images

    Weiming Zhang;Kede Ma;Nenghai Yu

  • A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images

    Shiqi Wang;Kede Ma;Hojatollah Yeganeh;Zhou Wang

  • No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

    Yuming Fang;Kede Ma;Zhou Wang;Weisi Lin

  • Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach

    Kede Ma;Hui Li;Hongwei Yong;Zhou Wang

  • dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs

    Kede Ma;Wentao Liu;Tongliang Liu;Zhou Wang

  • Perceptual Quality Assessment of Smartphone Photography

    Yuming Fang;Hanwei Zhu;Yan Zeng;Kede Ma

  • Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images

    Xiongkuo Min;Kede Ma;Ke Gu;Guangtao Zhai

  • Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

    Unknown

  • A Quality-of-Experience Index for Streaming Video

    Zhengfang Duanmu;Kai Zeng;Kede Ma;Abdul Rehman

  • Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index

    Kede Ma;Zhengfang Duanmu;Hojatollah Yeganeh;Zhou Wang

  • Deep Guided Learning for Fast Multi-Exposure Image Fusion

    Kede Ma;Zhengfang Duanmu;Hanwei Zhu;Yuming Fang

  • Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion

    Hui Li;Kede Ma;Hongwei Yong;Lei Zhang

  • High Dynamic Range Image Compression by Optimizing Tone Mapped Image Quality Index

    Kede Ma;Hojatollah Yeganeh;Kai Zeng;Zhou Wang

  • Perceptual evaluation of single image dehazing algorithms

    Kede Ma;Wentao Liu;Zhou Wang

  • Multi-exposure image fusion: A patch-wise approach

    Kede Ma;Zhou Wang

  • Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

    Keyan Ding;Kede Ma;Shiqi Wang;Eero P. Simoncelli

Frequent Co-Authors

Zhou Wang
Zhou Wang University of Waterloo
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Shiqi Wang
Shiqi Wang City University of Hong Kong
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Eero P. Simoncelli
Eero P. Simoncelli New York University
Tongliang Liu
Tongliang Liu University of Sydney

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