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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
76209
World Ranking
592
National Ranking
83

Yi 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 Yi 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Yi 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 Yi 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: 90 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
  • 2020 - SIAM Fellow For contributions to the theory and algorithms for low-dimensional models and their applications in computer vision and image processing.
  • 2017 - ACM Fellow For contributions to theory and application of low-dimensional models for computer vision and pattern recognition
  • 2013 - IEEE Fellow For contributions to computer vision and pattern recognition

Overview

Yi Ma is affiliated with the University of California, Berkeley in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on computer vision, pattern recognition, and advanced neural network applications.

The main fields of study for Yi Ma include:

  • Computer Science
  • Engineering

The subfields in which they have published extensively are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computational Mechanics

Yi Ma's work covers a variety of topics, including:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Anomaly Detection Techniques and Applications
  • Advanced Combustion Engine Technologies
  • Sparse and Compressive Sensing Techniques

Frequent publication venues where Yi Ma has contributed include:

  • arXiv (Cornell University)
  • Signal Image and Video Processing
  • ACS Omega
  • Energies
  • Scientific Reports

Yi Ma has collaborated often with the following coauthors:

  • Haozhi Qi
  • Yaodong Yu
  • Jun Fu
  • Xili Dai
  • Shengbang Tong

Examples of recent publications include:

  • "High-Entropy-Alloy-Nanoparticles Enabled Wood Evaporator for Efficient Photothermal Conversion and Sustainable Solar Desalination," 2022, Advanced Energy Materials
  • "Rethinking Bias-Variance Trade-off for Generalization of Neural Networks," 2020, arXiv (Cornell University)
  • "Over 11 kg m-2 h-1 Evaporation Rate Achieved by Cooling Metal-Organic Framework Foam with Pine Needle-Like Hierarchical Structures to Subambient Temperature," 2022, ACS Applied Materials & Interfaces
  • "Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction," 2020, arXiv (Cornell University)
  • "LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram," 2021, Physiological Measurement

Yi Ma has been recognized with several awards, including:

  • SIAM Fellow in 2020 for contributions to theory and algorithms for low-dimensional models and their applications in computer vision and image processing
  • ACM Fellow in 2017 for contributions to theory and application of low-dimensional models for computer vision and pattern recognition
  • IEEE Fellow in 2013 for contributions to computer vision and pattern recognition

Best Publications

  • Robust Face Recognition via Sparse Representation

    J. Wright;A.Y. Yang;A. Ganesh;S.S. Sastry

  • Robust principal component analysis

    Emmanuel J. Candès;Xiaodong Li;Yi Ma;John Wright

  • Image Super-Resolution Via Sparse Representation

    Jianchao Yang;John Wright;Thomas S Huang;Yi Ma

  • Robust Recovery of Subspace Structures by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

  • An Invitation to 3-D Vision: From Images to Geometric Models

    Yi Ma;Stefano Soatto;Jana Koseck;S. Shankar Sastry

  • RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images

    Yigang Peng;A. Ganesh;J. Wright;Wenli Xu

  • A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography

    Oleg Kuybeda;Gabriel A. Frank;Alberto Bartesaghi;Mario Borgnia

  • Sparse Representation for Computer Vision and Pattern Recognition

    John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro

  • PCANet: A Simple Deep Learning Baseline for Image Classification?

    Tsung-Han Chan;Kui Jia;Shenghua Gao;Jiwen Lu

  • Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

    Yingying Zhang;Desen Zhou;Siqin Chen;Shenghua Gao

  • Image super-resolution as sparse representation of raw image patches

    Jianchao Yang;J. Wright;T. Huang;Yi Ma

  • Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization

    John Wright;Arvind Ganesh;Shankar Rao;Yigang Peng

  • Generalized principal component analysis (GPCA)

    R. Vidal;Yi Ma;S. Sastry

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

    A. Wagner;J. Wright;A. Ganesh;Zihan Zhou

  • On the Role of Sparse and Redundant Representations in Image Processing

    Michael Elad;Mario A T Figueiredo;Yi Ma

  • An Invitation to 3-D Vision

    Yi Ma;Stefano Soatto;Jana Košecká;S. Shankar Sastry

  • Unsupervised segmentation of natural images via lossy data compression

    Allen Y. Yang;John Wright;Yi Ma;S. Shankar Sastry

  • Stable Principal Component Pursuit

    Zihan Zhou;Xiaodong Li;John Wright;Emmanuel Candes

  • Compressive Sensing via Nonlocal Low-Rank Regularization

    Weisheng Dong;Guangming Shi;Xin Li;Yi Ma

  • ECE 598: An Invitation to 3-D Vision: From Images to Geometric Models

    Yi Ma

Frequent Co-Authors

Shankar Sastry
Shankar Sastry University of California, Berkeley
Allen Y. Yang
Allen Y. Yang University of California, Berkeley
René Vidal
René Vidal University of Pennsylvania
Jana Kosecka
Jana Kosecka George Mason University
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Zhouchen Lin
Zhouchen Lin Peking University
Shenghua Gao
Shenghua Gao ShanghaiTech University
Kui Jia
Kui Jia South China University of Technology
Emmanuel J. Candès
Emmanuel J. Candès Stanford University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign

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