World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7118 6911 945 939 214 10013

Ya Zhang publications per year

The chart shows the history of publications by Ya Zhang between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ya Zhang published across 25 years, from 2002 to 2026, averaging 23.5 papers a year. Output peaked at 120 publications in 2023. 69 of the 587 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 120. Peak 120 publications in 2023. 2002: 1 publication 2003: 0 publications 2004: 3 publications 2005: 6 publications 2006: 5 publications 2007: 3 publications 2008: 3 publications 2009: 3 publications 2010: 6 publications 2011: 2 publications 2012: 5 publications 2013: 13 publications 2014: 11 publications 2015: 11 publications 2016: 8 publications 2017: 20 publications 2018: 22 publications 2019: 26 publications 2020: 31 publications 2021: 34 publications 2022: 90 publications 2023: 120 publications 2024: 95 publications 2025: 68 publications 2026: 1 publication
2002 2026

587 publications in total across all disciplines

View publications per year as a table
Ya Zhang: publications per year, 2002 to 2026
Year Publications
2002 1
2003 0
2004 3
2005 6
2006 5
2007 3
2008 3
2009 3
2010 6
2011 2
2012 5
2013 13
2014 11
2015 11
2016 8
2017 20
2018 22
2019 26
2020 31
2021 34
2022 90
2023 120
2024 95
2025 68
2026 1
Total 587
Download as CSV

Ya Zhang 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 Ya Zhang 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, 212–221 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: 214 publications — 51st percentile

51% 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
212–221 490 214
222–231 437
232–241 423
242–251 408
252–261 377
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

Ya Zhang 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 Ya Zhang 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, 44–45 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: 45 D-Index — 51st percentile

51% 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 45
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
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

Overview

Ya Zhang is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and its applications.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering

Key topics in Ya Zhang's work include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Topic Modeling
  • COVID-19 diagnosis using AI
  • Advanced Neural Network Applications

Among recent papers authored or co-authored by Ya Zhang are:

  • "Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction" (2021) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "PMC-LLaMA: toward building open-source language models for medicine" (2024) published in Journal of the American Medical Informatics Association
  • "Attribute Restoration Framework for Anomaly Detection" (2020) published in IEEE Transactions on Multimedia
  • "GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning" (2022) published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Neoadjuvant Immunotherapy for MSI-H/dMMR Locally Advanced Colorectal Cancer: New Strategies and Unveiled Opportunities" (2022) published in Frontiers in Immunology

Ya Zhang frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Research Square (Research Square)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia

Collaborations are a significant aspect of Ya Zhang's research activity. The most frequent co-authors include:

  • Yanfeng Wang
  • Jiangchao Yao
  • Weidi Xie
  • Siheng Chen
  • Chaoyi Wu

Best Publications

  • Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition

    Maosen Li;Siheng Chen;Xu Chen;Ya Zhang

  • Expected reciprocal rank for graded relevance

    Olivier Chapelle;Donald Metlzer;Ya Zhang;Pierre Grinspan

  • A dynamic bayesian network click model for web search ranking

    Olivier Chapelle;Ya Zhang

  • Part-Stacked CNN for Fine-Grained Visual Categorization

    Shaoli Huang;Zhe Xu;Dacheng Tao;Ya Zhang

  • A Fourier-based Framework for Domain Generalization

    Qinwei Xu;Ruipeng Zhang;Ya Zhang;Yanfeng Wang

  • Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction

    Maosen Li;Siheng Chen;Yangheng Zhao;Ya Zhang

  • Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction

    Maosen Li;Siheng Chen;Xu Chen;Ya Zhang

  • Deep feature for text-dependent speaker verification

    Yuan Liu;Yanmin Qian;Nanxin Chen;Tianfan Fu

  • Separating Style and Content for Generalized Style Transfer

    Yexun Zhang;Ya Zhang;Wenbin Cai

  • Masking: A New Perspective of Noisy Supervision

    Bo Han;Jiangchao Yao;Gang Niu;Mingyuan Zhou

  • Maximizing Expected Model Change for Active Learning in Regression

    Wenbin Cai;Ya Zhang;Jun Zhou

  • Bottom-Up Temporal Action Localization with Mutual Regularization

    Peisen Zhao;Lingxi Xie;Chen Ju;Ya Zhang

  • Attribute Restoration Framework for Anomaly Detection

    Ye Fei;Chaoqin Huang;Cao Jinkun;Maosen Li

  • Active Learning for Ranking through Expected Loss Optimization

    Bo Long;Jiang Bian;Olivier Chapelle;Ya Zhang

  • Multi-task learning for boosting with application to web search ranking

    Olivier Chapelle;Pannagadatta Shivaswamy;Srinivas Vadrevu;Kilian Weinberger

  • Deep Learning From Noisy Image Labels With Quality Embedding

    Jiangchao Yao;Jiajie Wang;Ivor W. Tsang;Ya Zhang

  • Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction

    Maosen Li;Siheng Chen;Yangheng Zhao;Ya Zhang

  • Architectural Style Classification Using Multinomial Latent Logistic Regression

    Zhe Xu;Dacheng Tao;Ya Zhang;Junjie Wu

  • Knowledge distillation from multi-modal to mono-modal segmentation networks

    Minhao Hu;Matthis Maillard;Ya Zhang;Tommaso Ciceri

  • Active learning for ranking through expected loss optimization

    Bo Long;Olivier Chapelle;Ya Zhang;Yi Chang

  • Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation

    Zhe Xu;Shaoli Huang;Ya Zhang;Dacheng Tao

  • Attribute Restoration Framework for Anomaly Detection

    Chaoqin Huang;Fei Ye;Jinkun Cao;Maosen Li

Frequent Co-Authors

Qi Tian
Qi Tian Huawei Technologies (China)
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Lingxi Xie
Lingxi Xie Huawei Technologies (China)
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Olivier Chapelle
Olivier Chapelle Google (United States)
Longbing Cao
Longbing Cao University of Technology Sydney

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in computer science offers many flexible, affordable, and career-ready options. For those seeking to accelerate their education, check out some of the quickest cheapest masters degree programs, which allow you to graduate often in 12-18 months. These accelerated paths are ideal if you’re looking to boost your job prospects without spending years in school.

If you’re aiming for programs that employers value most, consider the best masters degree to get in terms of demand and earning potential. Graduate degrees in areas like Artificial Intelligence, Cybersecurity, and Data Science continue to be especially marketable.

Not ready for a full bachelor’s or master’s degree? An associate degree online in computer science can help you develop foundational skills and enter the workforce quickly—often within two years.

And if cost is a concern, explore the cheapest online colleges for computer science. These accredited institutions offer high-quality education at lower tuition rates, making your educational goals more accessible than ever before.

Best Scientists Citing Ya Zhang

Trending Scientists

Recently Published Articles