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Dinggang Shen
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
146
Citations
81843
World Ranking
43
National Ranking
4

Dinggang Shen 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 Dinggang Shen 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: 1,520 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Dinggang Shen 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 Dinggang Shen 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: 146 D-Index — 100th percentile

100% 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
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biomedical applications of pattern recognition and medical image analysis
  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Dinggang Shen is affiliated with ShanghaiTech University in China and has a diverse research portfolio situated at the intersection of medicine and computer science. Their work primarily focuses on medical imaging, employing advanced computational methods such as machine learning and artificial intelligence to address challenges in diagnosis and disease quantification.

The scientist has been involved in research spanning multiple fields of study, including:

  • Medicine
  • Computer Science

Their research also extends into several specialized subfields, such as:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Biomedical Engineering

The main topics of their work cover a range of applications in medical imaging and analysis:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies
  • AI in cancer detection
  • Medical Imaging Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications

Dinggang Shen has a substantial publication record, with frequent contributions to several notable venues in the domain of medical and imaging research:

  • UNC Libraries
  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IEEE Journal of Biomedical and Health Informatics

Some of their recent papers include:

  • "Lung Infection Quantification of COVID-19 in CT Images with Deep Learning," 2020, arXiv (Cornell University)
  • "A deep learning system for detecting diabetic retinopathy across the disease spectrum," 2021, Nature Communications
  • "Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia," 2020, IEEE Transactions on Medical Imaging
  • "Transformers in medical image analysis," 2022, Intelligent Medicine
  • "Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images," 2020, Medical Image Analysis

The researcher has collaborated extensively with several frequent co-authors, which include:

  • Feng Shi
  • Weili Lin
  • Pew-Thian Yap
  • Li Wang
  • Qian Wang

Dinggang Shen has been recognized by professional organizations for their contributions in biomedical pattern recognition and medical image analysis. Their awards include:

  • Fellow of the International Association for Pattern Recognition (IAPR), 2018, for contributions to biomedical applications of pattern recognition and medical image analysis
  • Fellow of the Indian National Academy of Engineering (INAE), 2017

Best Publications

  • Deep Learning in Medical Image Analysis

    Dinggang Shen;Guorong Wu;Heung Il Suk

  • Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

    Feng Shi;Jun Wang;Jun Shi;Ziyan Wu

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Multimodal Classification of Alzheimer’s Disease and Mild Cognitive Impairment

    Daoqiang Zhang;Yaping Wang;Luping Zhou;Hong Yuan

  • HAMMER: hierarchical attribute matching mechanism for elastic registration

    Dinggang Shen;C. Davatzikos

  • Lane detection and tracking using B-Snake

    Yue Wang;Eam Khwang Teoh;Dinggang Shen

  • Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.

    Heung-Il Suk;Seong-Whan Lee;Dinggang Shen

  • Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

    Wenlu Zhang;Rongjian Li;Houtao Deng;Li Wang

  • Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

    Jie Zhi Cheng;Dong Ni;Yi Hong Chou;Jing Qin

  • Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

    Daoqiang Zhang;Daoqiang Zhang;Dinggang Shen

  • Medical Image Synthesis with Context-Aware Generative Adversarial Networks

    Dong Nie;Roger Trullo;Jun Lian;Caroline Petitjean

  • Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

    Fei Shan;Yaozong Gao;Jun Wang;Weiya Shi

  • Infant brain atlases from neonates to 1- and 2-year-olds.

    Feng Shi;Pew Thian Yap;Guorong Wu;Hongjun Jia

  • Medical Image Synthesis with Deep Convolutional Adversarial Networks

    Dong Nie;Roger Trullo;Jun Lian;Li Wang

  • Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

    Christos Davatzikos;Kosha Ruparel;Yong Fan;Dinggang Shen

  • Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

    Heung Il Suk;Seong Whan Lee;Dinggang Shen;Dinggang Shen

  • Deep learning based imaging data completion for improved brain disease diagnosis.

    Rongjian Li;Wenlu Zhang;Heung Il Suk;Li Wang

  • A deep learning system for detecting diabetic retinopathy across the disease spectrum.

    Ling Dai;Liang Wu;Huating Li;Chun Cai

  • Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

    Chunfeng Lian;Mingxia Liu;Jun Zhang;Dinggang Shen

  • Deep Learning-Based Feature Representation for AD/MCI Classification

    Heung Il Suk;Dinggang Shen

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

    Christos Davatzikos;Yong Fan;Xiaoying Wu;Dinggang Shen

  • State-space model with deep learning for functional dynamics estimation in resting-state fMRI

    Heung Il Suk;Chong Yaw Wee;Seong Whan Lee;Dinggang Shen

  • Medical Image Synthesis with Context-Aware Generative Adversarial Networks

    Dong Nie;Roger Trullo;Caroline Petitjean;Su Ruan

  • Machine learning in medical imaging

    Pingkun Yan;Kenji Suzuki;Fei Wang;Dinggang Shen

  • Editorial: machine learning in medical imaging

    Kenji Suzuki;Pingkun Yan;Fei Wang;Dinggang Shen

Frequent Co-Authors

Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Weili Lin
Weili Lin University of North Carolina at Chapel Hill
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Gang Li
Gang Li University of North Carolina at Chapel Hill
Qian Wang
Qian Wang Shanghai Jiao Tong University
Feng Shi
Feng Shi United Imaging Intelligence (China)
Yaozong Gao
Yaozong Gao United Imaging Healthcare (China)
Christos Davatzikos
Christos Davatzikos University of Pennsylvania
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Han Zhang
Han Zhang ShanghaiTech University

External Links

Personal website of Dinggang Shen Google Scholar page

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Related Online Degrees & Career Pathways

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Exploring these pathways can help you find a degree or career that fits your skills, interests, and long-term goals—all from the convenience of online study.

Best Scientists Citing Dinggang Shen

Christos Davatzikos

Christos Davatzikos

University of Pennsylvania

Publications: 228

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 128

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 118

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 89

Susumu Mori

Susumu Mori

Johns Hopkins University School of Medicine

Publications: 87

Martin Styner

Martin Styner

University of North Carolina at Chapel Hill

Publications: 78

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 77

Susan M. Resnick

Susan M. Resnick

National Institutes of Health

Publications: 75

Dajiang Zhu

Dajiang Zhu

The University of Texas at Arlington

Publications: 66

Xintao Hu

Xintao Hu

Northwestern Polytechnical University

Publications: 64

Baiying Lei

Baiying Lei

Shenzhen University

Publications: 63

Daoqiang Zhang

Daoqiang Zhang

Nanjing University of Aeronautics and Astronautics

Publications: 57

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 54

Yong Fan

Yong Fan

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Publications: 53

D. Louis Collins

D. Louis Collins

McGill University

Publications: 53

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Kaiming Li

Sichuan University

Publications: 52

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