World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
16504
World Ranking
2884
National Ranking
395

Siwei 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 Siwei 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: 538 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Siwei 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 Siwei 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Siwei Ma is affiliated with Peking University in China. Their research expertise spans multiple areas within computer science and engineering, focusing primarily on computer vision, signal processing, and media technology.

The main fields of study in their work include:

  • Computer Science
  • Engineering

The subfields of study related to their publications cover:

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Media Technology
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Their research topics address several advanced areas, including:

  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Advanced Data Compression Techniques
  • Image and Signal Denoising Methods
  • Image and Video Quality Assessment
  • Generative Adversarial Networks and Image Synthesis

Selected recent papers authored by or involving Siwei Ma include:

  • "Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection," 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training," 2023, IEEE Journal of Selected Topics in Signal Processing
  • "Pre-Trained Image Processing Transformer," 2020, arXiv (Cornell University)
  • "Matching on Sets: Conquer Occluded Person Re-identification Without Alignment," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Cross-SRN: Structure-Preserving Super-Resolution Network With Cross Convolution," 2021, IEEE Transactions on Circuits and Systems for Video Technology

Frequently publishing venues for this researcher include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • ACM Transactions on Multimedia Computing Communications and Applications

Siwei Ma has collaborated with several co-authors with substantial joint publication counts, including:

  • Shanshe Wang
  • Wen Gao
  • Chuanmin Jia
  • Xinfeng Zhang
  • Shiqi Wang

Best Publications

  • Pre-Trained Image Processing Transformer

    Hanting Chen;Yunhe Wang;Tianyu Guo;Chang Xu

  • Rate-distortion analysis for H.264/AVC video coding and its application to rate control

    S. Ma;Wen Gao;Yan Lu

  • Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

    Qi Mao;Hsin-Ying Lee;Hung-Yu Tseng;Siwei Ma

  • Image and Video Compression With Neural Networks: A Review

    Siwei Ma;Xinfeng Zhang;Chuanmin Jia;Zhenghui Zhao

  • Fast mode decision algorithm for intra prediction in HEVC

    Liang Zhao;Li Zhang;Siwei Ma;Debin Zhao

  • SSIM-Motivated Rate-Distortion Optimization for Video Coding

    Shiqi Wang;A. Rehman;Zhou Wang;Siwei Ma

  • Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure

    Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma

  • Adaptive rate control for H.264

    Zhengguo Li;Wen Gao;Feng Pan;S. W. Ma

  • Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain

    Jian Zhang;Debin Zhao;Ruiqin Xiong;Siwei Ma

  • Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection

    Wei Gao;Guibiao Liao;Siwei Ma;Ge Li

  • MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment

    Wei Sun;Xiongkuo Min;Guangtao Zhai;Ke Gu

  • Image Compressive Sensing Recovery via Collaborative Sparsity

    Jian Zhang;Debin Zhao;Chen Zhao;Ruiqin Xiong

  • Compression Artifact Reduction by Overlapped-Block Transform Coefficient Estimation With Block Similarity

    Xinfeng Zhang;Ruiqin Xiong;Xiaopeng Fan;Siwei Ma

  • Content-Aware Convolutional Neural Network for In-Loop Filtering in High Efficiency Video Coding

    Chuanmin Jia;Shiqi Wang;Xinfeng Zhang;Shanshe Wang

  • Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training

    Unknown

  • Image Interpolation Via Regularized Local Linear Regression

    Xianming Liu;Debin Zhao;Ruiqin Xiong;Siwei Ma

  • COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

    Di You;Jian Zhang;Jingfen Xie;Bin Chen

  • High-definition Video Coding with Super-macroblocks

    Siwei Ma;C.-C. Jay Kuo

  • Perceptual Video Coding Based on SSIM-Inspired Divisive Normalization

    Shiqi Wang;A. Rehman;Zhou Wang;Siwei Ma

  • Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity

    Chen Zhao;Siwei Ma;Jian Zhang;Ruiqin Xiong

  • Overview of AVS video standard

    Liang Fan;Siwei Ma;Feng Wu

  • Joint video/depth rate allocation for 3D video coding based on view synthesis distortion model

    Yanwei Liu;Qingming Huang;Siwei Ma;Debin Zhao

Frequent Co-Authors

Wen Gao
Wen Gao Peking University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Debin Zhao
Debin Zhao Harbin Institute of Technology
Ruiqin Xiong
Ruiqin Xiong Peking University
Yan Lu
Yan Lu Microsoft Research Asia (China)
Weisi Lin
Weisi Lin Nanyang Technological University
Tiejun Huang
Tiejun Huang Peking University
Ke Gu
Ke Gu Beijing University of Technology
Feng Wu
Feng Wu University of Science and Technology of China
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University

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