World's Best Scientists 2026 revealed!
Xiang Sean Zhou

Xiang Sean Zhou

D-Index & Metrics

Computer Science

D-Index
50
Citations
9935
World Ranking
5627
National Ranking
262

Xiang Sean 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 Xiang Sean Zhou 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Xiang Sean 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 Xiang Sean Zhou 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Xiang Sean Zhou is affiliated with Siemens in Germany and has contributed extensively to the fields of medicine and computer science. Their research mainly intersects radiology, nuclear medicine, imaging, and computer vision, with a focus on the application of artificial intelligence and machine learning in medical imaging.

Their recent publications cover a range of topics, including medical image segmentation, cancer detection, and radiotherapy planning. Key papers include:

  • Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis, 2020, IEEE Transactions on Medical Imaging
  • Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy, 2022, Nature Communications
  • uRP: An integrated research platform for one-stop analysis of medical images, 2023, Frontiers in Radiology
  • Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches, 2023, Seminars in Cancer Biology
  • Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomography, 2024, Nature Medicine

Xiang Sean Zhou frequently collaborates with several researchers, including:

  • Dinggang Shen
  • Yiqiang Zhan
  • Feng Shi
  • Jiaojiao Wu
  • Zhong Xue

The scientist's work has been published in various venues, with multiple contributions to:

  • Nature Communications
  • IEEE Transactions on Medical Imaging
  • arXiv (Cornell University)
  • Complementary Therapies in Medicine
  • Frontiers in Radiology

Their main fields of study include:

  • Medicine
  • Computer Science

Xiang Sean Zhou's subfields of study comprise:

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

The primary topics of their research work focus on:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Advanced X-ray and CT Imaging
  • Medical Image Segmentation Techniques
  • Lung Cancer Diagnosis and Treatment

Best Publications

  • Relevance feedback in image retrieval: A comprehensive review

    Xiang Sean Zhou;Thomas S. Huang

  • One-class SVM for learning in image retrieval

    Yunqiang Chen;Xiang Sean Zhou;T.S. Huang

  • Total variation models for variable lighting face recognition

    T. Chen;Wotao Yin;Xiang Sean Zhou;D. Comaniciu

  • Small sample learning during multimedia retrieval using BiasMap

    Xiang Sean Zhou;T.S. Huang

  • Feature selection using principal feature analysis

    Yijuan Lu;Ira Cohen;Xiang Sean Zhou;Qi Tian

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

    Dimitris N. Metaxas;Shaoting Zhang

  • Unifying keywords and visual contents in image retrieval

    Xiang Sean Zhou;T.S. Huang

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

    Zhennan Yan;Yiqiang Zhan;Zhigang Peng;Shu Liao

  • CBIR: from low-level features to high-level semantics

    Xiang Sean Zhou;Thomas S. Huang

  • Edge-based structural features for content-based image retrieval

    Xiang Sean Zhou;Thomas S. Huang

  • Database-guided segmentation of anatomical structures with complex appearance

    B. Georgescu;X.S. Zhou;D. Comaniciu;A. Gupta

  • Image based regression using boosting method

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

  • System and Method for Detecting and Matching Anatomical Structures Using Appearance and Shape

    Xiang Sean Zhou;Bogdan Georgescu;Dorin Comaniciu;R. Bharat Rao

  • An information fusion framework for robust shape tracking

    Xiang Sean Zhou;A. Gupta;D. Comaniciu

  • Comparing discriminating transformations and SVM for learning during multimedia retrieval

    Xiang Sean Zhou;Thomas S. Huang

  • System and method for performing probabilistic classification and decision support using multidimensional medical image databases

    Xiang Sean Zhou;Dorin Comaniciu;Alok Gupta;Visvanathan Ramesh

  • Robust real-time myocardial border tracking for echocardiography: an information fusion approach

    D. Comaniciu;X.S. Zhou;S. Krishnan

  • Systems and methods for automated diagnosis and decision support for heart related diseases and conditions

    Sriram Krishnan;Alok Gupta;R. Bharat Rao;Dorin Comaniciu

  • Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods

    T.S. Huang;Xiang Sean Zhou

  • Systems and methods providing automated decision support for medical imaging

    Sriram Krishnan;Dorin Comaniciu;Xiang Sean Zhou;Michael G. Cannon

Frequent Co-Authors

Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Arun Krishnan
Arun Krishnan Microsoft (United States)
Bogdan Georgescu
Bogdan Georgescu Princeton University
Yong Rui
Yong Rui Lenovo (China)
Feng Shi
Feng Shi United Imaging Intelligence (China)
Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Ashutosh Garg
Ashutosh Garg Google (United States)
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Wotao Yin
Wotao Yin Alibaba Group (China)

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