World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
18821
World Ranking
3977
National Ranking
530

Shaoting 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 Shaoting Zhang 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: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Shaoting 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 Shaoting Zhang 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Shaoting Zhang is affiliated with the University of Electronic Science and Technology of China. Their research spans interdisciplinary fields bridging computer science and medicine, with a focus on the development and application of advanced computational techniques in medical imaging.

The primary fields of study in their body of work include:

  • Computer Science
  • Medicine

Within these domains, their research addresses several subfields:

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

The main topics covered in their publications reflect concentrated expertise in:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Medical Imaging and Analysis

Shaoting Zhang has contributed extensively to various scientific venues, with frequent publications including:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • Neurocomputing
  • Nature Communications

Their recent notable papers include:

  • On the challenges and perspectives of foundation models for medical image analysis, 2023, Medical Image Analysis
  • Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency, 2022, Medical Image Analysis
  • WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image, 2022, Medical Image Analysis
  • A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images, 2020, IEEE Transactions on Medical Imaging
  • TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers, 2024, Medical Image Analysis

Frequent collaborators include:

  • Guotai Wang
  • Xiangde Luo
  • Kang Li
  • Dimitris Metaxas
  • Wenjun Liao

Best Publications

  • StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li

  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

    Ran Gu;Guotai Wang;Tao Song;Rui Huang

  • Semi-supervised Medical Image Segmentation through Dual-task Consistency

    Xiangde Luo;Jieneng Chen;Tao Song;Yinan Chen

  • Multispectral Deep Neural Networks for Pedestrian Detection

    Jingjing Liu;Shaoting Zhang;Shu Wang;Dimitris N. Metaxas

  • A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

    Guotai Wang;Xinglong Liu;Chaoping Li;Zhiyong Xu

  • Efficient MR image reconstruction for compressed MR imaging

    Junzhou Huang;Shaoting Zhang;Dimitris N. Metaxas

  • SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition

    Han Zhang;Tao Xu;Mohamed Elhoseiny;Xiaolei Huang

  • Image retrieval via probabilistic hypergraph ranking

    Yuchi Huang;Qingshan Liu;Shaoting Zhang;Dimitris N. Metaxas

  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

    Prasanna Porwal;Prasanna Porwal;Samiksha Pachade;Manesh Kokare;Girish Deshmukh

  • Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

    Xiang Yu;Junzhou Huang;Shaoting Zhang;Wang Yan

  • Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

    Hui Qu;Pengxiang Wu;Qiaoying Huang;Jingru Yi

  • Towards robust and effective shape prior modeling: sparse shape composition

    Dimitris N. Metaxas;Shaoting Zhang

  • Large-scale retrieval for medical image analytics: A comprehensive review.

    Zhongyu Li;Xiaofan Zhang;Henning Müller;Shaoting Zhang

  • Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

    Zhennan Yan;Yiqiang Zhan;Zhigang Peng;Shu Liao

  • Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval

    Xiaofan Zhang;Wei Liu;Murat Dundar;Sunil Badve

  • Automatic image annotation using group sparsity

    Shaoting Zhang;Junzhou Huang;Yuchi Huang;Yang Yu

  • Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

    Xiangde Luo;Wenjun Liao;Jieneng Chen;Tao Song

  • Embedding Label Structures for Fine-Grained Feature Representation

    Xiaofan Zhang;Feng Zhou;Yuanqing Lin;Shaoting Zhang

  • Query Specific Fusion for Image Retrieval

    Shaoting Zhang;Ming Yang;Timothee Cour;Kai Yu

  • Query Specific Rank Fusion for Image Retrieval

    Shaoting Zhang;Ming Yang;Timothee Cour;Kai Yu

Frequent Co-Authors

Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Xi Peng
Xi Peng Sichuan University
Wei Liu
Wei Liu Tencent (China)
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Weidong Cai
Weidong Cai University of Sydney
Lin Yang
Lin Yang University of Florida
Georg Langs
Georg Langs Medical University of Vienna

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 Computer Science in the USA opens the door to many related opportunities. For those looking to expand their skill set, there are numerous accredited online electrical engineering programs that can complement your IT knowledge and boost career prospects in tech-heavy industries.

If you are seeking quick credentials, several easy certifications to get online offer a fast route to high-paying jobs in fields related to software development, networking, and cybersecurity.

Students interested in advancing their qualifications without a long time commitment can benefit from exploring the quickest online masters degree options. These accelerated programs allow you to gain expertise and enter the workforce faster.

Not sure which specialization aligns with industry demand? Discover what masters program should i do to better understand which degrees are most valued by employers today.

Best Scientists Citing Shaoting Zhang

Trending Scientists

Recently Published Articles