World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8312
World Ranking
6225
National Ranking
826

Huazhong Shu 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 Huazhong Shu 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: 338 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Huazhong Shu 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 Huazhong Shu 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Huazhong Shu is a researcher affiliated with Southeast University in China. Their work spans primarily the fields of Computer Science and Medicine, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, and Cognitive Neuroscience.

The research topics frequently addressed by Huazhong Shu include:

  • Advanced X-ray and CT Imaging
  • Medical Image Segmentation Techniques
  • Advanced Neural Network Applications
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging and Analysis
  • Image and Signal Denoising Methods

Huazhong Shu has published extensively in various venues. The most common publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement
  • Medical Image Analysis
  • Biomedical Signal Processing and Control
  • Neurocomputing

Recent notable papers authored or co-authored by Huazhong Shu include:

  • Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation (2020), published in Medical Image Analysis
  • Spatio-temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity (2021), published in Human Brain Mapping
  • BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation (2023), published in Computer Methods and Programs in Biomedicine
  • MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation (2022), published in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Deep octonion networks (2020), published in Neurocomputing

Frequent co-authors who have collaborated with Huazhong Shu include:

  • Youyong Kong
  • Guanyu Yang
  • Jiasong Wu
  • Jean-Louis Coatrieux
  • Yang Chen

Best Publications

  • Artifact suppressed dictionary learning for low-dose CT image processing.

    Yang Chen;Luyao Shi;Qianjing Feng;Jiang Yang

  • Color Image Analysis by Quaternion-Type Moments

    Beijing Chen;Huazhong Shu;Gouenou Coatrieux;Gang Chen

  • Image analysis by discrete orthogonal Racah moments

    Hongqing Zhu;Huazhong Shu;Jun Liang;Limin Luo

  • Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing.

    Yang Chen;Xindao Yin;Luyao Shi;Huazhong Shu

  • Image analysis by discrete orthogonal dual Hahn moments

    Hongqing Zhu;Huazhong Shu;Jian Zhou;Limin Luo

  • Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging

    Xiangrui Yin;Jean-Louis Coatrieux;Qianlong Zhao;Jin Liu

  • Quaternion Zernike moments and their invariants for color image analysis and object recognition

    B. J. Chen;H. Z. Shu;H. Zhang;G. Chen

  • General form for obtaining discrete orthogonal moments

    H. Zhu;M. Liu;H. Shu;H. Zhang

  • Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions

    Hui Zhang;Huazhong Shu;G. Coatrieux;Jie Zhu

  • 3D Feature Constrained Reconstruction for Low-Dose CT Imaging

    Jin Liu;Yining Hu;Jian Yang;Yang Chen

  • Curve-Like Structure Extraction Using Minimal Path Propagation With Backtracking

    Yang Chen;Yudong Zhang;Jian Yang;Qing Cao

  • Full 4-D quaternion discrete Fourier transform based watermarking for color images

    Beijing Chen;Gouenou Coatrieux;Gang Chen;Xingming Sun

  • Translation and scale invariants of Tchebichef moments

    Hongqing Zhu;Huazhong Shu;Ting Xia;Limin Luo

  • Improving Low-Dose CT Image Using Residual Convolutional Network

    Wei Yang;Huijuan Zhang;Jian Yang;Jiasong Wu

  • Blurred Image Recognition by Legendre Moment Invariants

    Hui Zhang;Huazhong Shu;G.N. Han;G. Coatrieux

  • Image analysis by discrete orthogonal hahn moments

    Jian Zhou;Huazhong Shu;Hongqing Zhu;Christine Toumoulin

  • Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging

    Jin Liu;Jianhua Ma;Yi Zhang;Yang Chen

  • A Watermarking-Based Medical Image Integrity Control System and an Image Moment Signature for Tampering Characterization

    Gouenou Coatrieux;Hui Huang;Huazhong Shu;Limin Luo

  • An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework

    Jelmer M. Wolterink;Tim Leiner;Bob D. De Vos;Jean Louis Coatrieux

  • A novel algorithm for fast computation of Zernike moments

    Jia Gu;Huazhong Shu;Christine Toumoulin;Limin Luo

  • Structure-Adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression

    Yang Chen;Yudong Zhang;Huazhong Shu;Jian Yang

Frequent Co-Authors

Gouenou Coatrieux
Gouenou Coatrieux IMT Atlantique
Jian Yang
Jian Yang University of Birmingham
Shuo Li
Shuo Li Case Western Reserve University
Laurent D. Cohen
Laurent D. Cohen Paris Dauphine University
Wei Yang
Wei Yang Southern Medical University
Yudong Zhang
Yudong Zhang University of Leicester
Christian Roux
Christian Roux Université Paris Cité
Wufan Chen
Wufan Chen Southern Medical University
Xingming Sun
Xingming Sun Nanjing University of Information Science and Technology
Fabrice Wendling
Fabrice Wendling University of Rennes

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