World's Best Scientists 2026 revealed!
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S. Kevin Zhou

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 62 2949 2864 402 399 224 13175

S. Kevin Zhou publications per year

The chart shows the history of publications by S. Kevin Zhou between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. S. Kevin Zhou published across 25 years, from 2002 to 2026, averaging 18 papers a year. Output peaked at 96 publications in 2025. 123 of the 449 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 96. Peak 96 publications in 2025. 2002: 6 publications 2003: 7 publications 2004: 13 publications 2005: 9 publications 2006: 5 publications 2007: 9 publications 2008: 5 publications 2009: 17 publications 2010: 20 publications 2011: 23 publications 2012: 10 publications 2013: 8 publications 2014: 6 publications 2015: 4 publications 2016: 2 publications 2017: 8 publications 2018: 6 publications 2019: 12 publications 2020: 21 publications 2021: 33 publications 2022: 24 publications 2023: 29 publications 2024: 49 publications 2025: 96 publications 2026: 27 publications
2002 2026

449 publications in total across all disciplines

View publications per year as a table
S. Kevin Zhou: publications per year, 2002 to 2026
Year Publications
2002 6
2003 7
2004 13
2005 9
2006 5
2007 9
2008 5
2009 17
2010 20
2011 23
2012 10
2013 8
2014 6
2015 4
2016 2
2017 8
2018 6
2019 12
2020 21
2021 33
2022 24
2023 29
2024 49
2025 96
2026 27
Total 449
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S. Kevin Zhou 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 S. Kevin Zhou 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, 222–231 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: 224 publications — 55th percentile

55% 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
222–231 437 224
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

S. Kevin Zhou 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 S. Kevin Zhou 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, 62–63 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: 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.

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 62
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

S. Kevin Zhou is affiliated with the University of Science and Technology of China in China. Their research spans multiple intersecting domains including computer science, medicine, and engineering. The main fields of study in their body of work comprise computer science, medicine, and engineering, with significant emphasis on subfields such as radiology, nuclear medicine and imaging, computer vision and pattern recognition, biomedical engineering, artificial intelligence, and electrical and electronic engineering.

The scientist's research topics cover a range of areas critical to medical imaging and analysis. Key topics explored include radiomics and machine learning in medical imaging, medical imaging techniques and applications, advanced X-ray and CT imaging, COVID-19 diagnosis using artificial intelligence, medical imaging and analysis, advanced neural network applications, and medical image segmentation techniques.

Notable recent papers by S. Kevin Zhou include:

  • Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives (2023, Medical Image Analysis)
  • Knowledge matters: Chest radiology report generation with general and specific knowledge (2022, Medical Image Analysis)
  • Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis (2020, Medical Image Analysis)
  • Label-Free Segmentation of COVID-19 Lesions in Lung CT (2021, IEEE Transactions on Medical Imaging)
  • Deep learning to segment pelvic bones: large-scale CT datasets and baseline models (2021, International Journal of Computer Assisted Radiology and Surgery)

S. Kevin Zhou has collaborated frequently with multiple co-authors, including Heqin Zhu, Fenghe Tang, Qingsong Yao, and Zihang Jiang. These collaborators have contributed considerably to the shared research output, with some publications reflecting close ongoing partnerships.

The scientist's work has appeared repeatedly in key publication venues, predominantly in arXiv (Cornell University), Medical Image Analysis, IEEE Transactions on Medical Imaging, Lecture Notes in Computer Science, and npj Digital Medicine. The distribution of publications indicates a strong presence in both open-access preprints and peer-reviewed journals specialized in medical imaging and computer science.

Beyond journal articles, S. Kevin Zhou has contributed to book publications with Springer Science+Business Media, featuring in volumes related to Medical Image Computing and Computer Assisted Intervention presented at MICCAI 2020.

Best Publications

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Visual tracking and recognition using appearance-adaptive models in particle filters

    Shaohua Kevin Zhou;R. Chellappa;B. Moghaddam

  • FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

    Hui Ding;Shaohua Kevin Zhou;Rama Chellappa

  • Probabilistic recognition of human faces from video

    Shaohua Zhou;Volker Krueger;Rama Chellappa

  • Combo loss: Handling input and output imbalance in multi-organ segmentation

    Saeid Asgari Taghanaki;Saeid Asgari Taghanaki;Yefeng Zheng;S. Kevin Zhou;Bogdan Georgescu

  • Shallow Attention Network for Polyp Segmentation.

    Jun Wei;Yiwen Hu;Yiwen Hu;Ruimao Zhang;Zhen Li

  • From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space

    S.K. Zhou;R. Chellappa

  • Deep Learning for Medical Image Analysis

    S. Kevin Zhou;Hayit Greenspan;Dinggang Shen

  • Learning to Prune Filters in Convolutional Neural Networks

    Qiangui Huang;Kevin Zhou;Suya You;Ulrich Neumann

  • Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

    Dong Yang;Daguang Xu;S. Kevin Zhou;Bogdan Georgescu

  • Hierarchical, learning-based automatic liver segmentation

    Haibin Ling;S.K. Zhou;Yefeng Zheng;B. Georgescu

  • Deep reinforcement learning in medical imaging: A literature review

    S. Kevin Zhou;T. Hoang Ngan Le;Khoa Luu;Hien Van Nguyen

  • Automatic Liver Segmentation Using Adversarial Image-to-Image Network

    Dong Yang;Daguang Xu;Shaohua Kevin Zhou;Bogdan Georgescu

  • ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

    Haofu Liao;Wei-An Lin;S. Kevin Zhou;Jiebo Luo

  • Hierarchical Parsing and Semantic Navigation of Full Body CT Data

    Sascha Seifert;Adrian Barbu;S. Kevin Zhou;David Liu

  • DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior

    Bo Zhou;S. Kevin Zhou

  • Image based regression using boosting method

    Shaohua Kevin Zhou;B. Georgescu;Xiang Sean Zhou;D. Comaniciu

  • Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement

    Hao Lu;Hu Han;S. Kevin Zhou

  • Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

    Haofu Liao;Wei-An Lin;Jianbo Yuan;S. Kevin Zhou

  • Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.

    Jiuwen Zhu;Yuexiang Li;Yifan Hu;Kai Ma

  • Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition

    S.K. Zhou;G. Aggarwal;R. Chellappa;D.W. Jacobs

  • Spine detection in CT and MR using iterated marginal space learning

    B. Michael Kelm;Michael Wels;S. Kevin Zhou;Sascha Seifert

  • 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

    Siqi Liu;Daguang Xu;S. Kevin Zhou;Thomas Mertelmeier

Frequent Co-Authors

Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Yefeng Zheng
Yefeng Zheng Tencent (China)
Hu Han
Hu Han Chinese Academy of Sciences
Daguang Xu
Daguang Xu Nvidia (United Kingdom)
Jiebo Luo
Jiebo Luo University of Rochester
Bogdan Georgescu
Bogdan Georgescu Princeton University
James S. Duncan
James S. Duncan Yale University
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Rama Chellappa
Rama Chellappa Johns Hopkins University
Ghassan Hamarneh
Ghassan Hamarneh Simon Fraser University

External Links

Personal website of S. Kevin Zhou

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Best Scientists Citing S. Kevin Zhou

Dorin Comaniciu

Dorin Comaniciu

Siemens (United States)

Publications: 64

Yefeng Zheng

Yefeng Zheng

Tencent (China)

Publications: 53

Ronald M. Summers

Ronald M. Summers

National Institutes of Health

Publications: 38

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 38

Le Lu

Le Lu

Alibaba Group (China)

Publications: 34

Holger R. Roth

Holger R. Roth

Nvidia (United States)

Publications: 23

Nassir Navab

Nassir Navab

Technical University of Munich

Publications: 22

Shuo Li

Shuo Li

Case Western Reserve University

Publications: 18

Daguang Xu

Daguang Xu

Nvidia (United Kingdom)

Publications: 17

Ben Glocker

Ben Glocker

Imperial College London

Publications: 17

Bogdan Georgescu

Bogdan Georgescu

Princeton University

Publications: 17

Georg Langs

Georg Langs

Medical University of Vienna

Publications: 16

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 16

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 15

Andreas Maier

Andreas Maier

University of Erlangen-Nuremberg

Publications: 15

Jianhua Yao

Jianhua Yao

Tencent (China)

Publications: 15

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