World's Best Scientists 2026 revealed!
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Yi Ma
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Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 90 592 575 83 81 259 76209

Yi Ma publications per year

The chart shows the history of publications by Yi Ma between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yi Ma published across 29 years, from 1997 to 2025, averaging 11.2 papers a year. Output peaked at 23 publications in 2010. 38 of the 326 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2010. 1997: 1 publication 1998: 5 publications 1999: 4 publications 2000: 5 publications 2001: 6 publications 2002: 3 publications 2003: 6 publications 2004: 21 publications 2005: 11 publications 2006: 7 publications 2007: 9 publications 2008: 8 publications 2009: 18 publications 2010: 23 publications 2011: 16 publications 2012: 17 publications 2013: 14 publications 2014: 16 publications 2015: 11 publications 2016: 14 publications 2017: 3 publications 2018: 4 publications 2019: 6 publications 2020: 16 publications 2021: 16 publications 2022: 12 publications 2023: 16 publications 2024: 22 publications 2025: 16 publications
1997 2025

326 publications in total across all disciplines

View publications per year as a table
Yi Ma: publications per year, 1997 to 2025
Year Publications
1997 1
1998 5
1999 4
2000 5
2001 6
2002 3
2003 6
2004 21
2005 11
2006 7
2007 9
2008 8
2009 18
2010 23
2011 16
2012 17
2013 14
2014 16
2015 11
2016 14
2017 3
2018 4
2019 6
2020 16
2021 16
2022 12
2023 16
2024 22
2025 16
Total 326
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 252–261 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377 259
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 90–91 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69 90
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Yi Ma Google Scholar page

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Each of these online programs supports different career pathways while offering the flexibility that online learning provides. Consider your future goals and choose the path that aligns best with your interests and desired career outcomes.

Best Scientists Citing Yi Ma

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 164

Jian Yang

Jian Yang

University of Birmingham

Publications: 127

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 126

René Vidal

René Vidal

University of Pennsylvania

Publications: 121

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 117

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 115

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 111

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 110

Zhouchen Lin

Zhouchen Lin

Peking University

Publications: 105

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 103

Xuelong Li

Xuelong Li

China Telecom (China)

Publications: 97

Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

Publications: 94

Yun Fu

Yun Fu

Northeastern University

Publications: 90

Yong Xu

Yong Xu

Harbin Institute of Technology

Publications: 85

Trac D. Tran

Trac D. Tran

Johns Hopkins University

Publications: 83

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 78

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