World's Best Scientists 2026 revealed!

Jiliu 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 Jiliu 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+

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

Jiliu 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 Jiliu 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+

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

Overview

Jiliu Zhou is affiliated with Sichuan University in China and has made contributions primarily in the intersection of medicine, computer science, and engineering. Their research has a strong focus on medical imaging techniques and related computational methods.

The main fields of study for Zhou include:

  • Medicine
  • Computer Science
  • Engineering

Within these broader disciplines, Zhou's work is concentrated on specialized subfields such as:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Radiation
  • Biomedical Engineering
  • Media Technology

The topics often addressed in Zhou's publications cover various advanced aspects of medical imaging and image processing, including:

  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Image Processing Techniques
  • Advanced X-ray and CT Imaging
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis

Zhou has contributed to numerous scientific articles, including recent publications such as:

  • Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning, 2022, Medical Image Analysis
  • Unified medical image segmentation by learning from uncertainty in an end-to-end manner, 2022, Knowledge-Based Systems
  • Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis, 2021, Medical Image Analysis
  • Semi-supervised medical image segmentation via hard positives oriented contrastive learning, 2023, Pattern Recognition
  • Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion, 2021, Neurocomputing

These publications are featured in frequent venues, reflecting Zhou's active engagement in the scientific community:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • Pattern Recognition
  • 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
  • Knowledge-Based Systems

Zhou maintains collaborative relationships with several coauthors who frequently appear in their work. Notable collaborators include:

  • Yan Wang
  • Dinggang Shen
  • Yi Zhang
  • Wenjun Xia
  • Luping Zhou

Best Publications

  • Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

    Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin

  • Low-dose CT via convolutional neural network

    Hu Chen;Yi Zhang;Weihua Zhang;Peixi Liao

  • Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement

    Yi-Fei Pu;Ji-Liu Zhou;Xiao Yuan

  • Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

    Hu Chen;Yi Zhang;Mannudeep K. Kalra;Feng Lin

  • LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT

    Hu Chen;Yi Zhang;Yunjin Chen;Junfeng Zhang

  • 3D conditional generative adversarial networks for high-quality PET image estimation at low dose

    Yan Wang;Biting Yu;Lei Wang;Chen Zu

  • 3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis

    Yan Wang;Luping Zhou;Biting Yu;Lei Wang

  • Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach

    Yi-Fei Pu;Ji-Liu Zhou;Yi Zhang;Ni Zhang

  • Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.

    Maosong Ran;Jinrong Hu;Yang Chen;Hu Chen

  • Low-dose CT denoising with convolutional neural network

    Hu Chen;Yi Zhang;Weihua Zhang;Peixi Liao

  • Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks

    Yi-Fei Pu;Zhang Yi;Ji-Liu Zhou

  • Spectral CT Reconstruction With Image Sparsity and Spectral Mean

    Yi Zhang;Yan Xi;Qingsong Yang;Wenxiang Cong

  • Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network

    Yongqiang Huang;Zexin Lu;Zhimin Shao;Maosong Ran

  • Few-view image reconstruction with fractional-order total variation

    Yi Zhang;Weihua Zhang;Yinjie Lei;Jiliu Zhou

  • A Class of Fractional-Order Variational Image Inpainting Models

    Y. Zhang;Y.-F. Pu;J.-R. Hu;J.-L. Zhou

  • Statistical iterative reconstruction using adaptive fractional order regularization.

    Yi Zhang;Yan Wang;Weihua Zhang;Feng Lin

  • Edge detection of colour image based on quaternion fractional differential

    C.B. Gao;J.L. Zhou;J.R. Hu;F.N. Lang

  • MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.

    Wenjun Xia;Zexin Lu;Yongqiang Huang;Zuoqiang Shi

  • Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

    Peng Bao;Huaiqiang Sun;Zhangyang Wang;Yi Zhang

  • Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

    Maosong Ran;Jinrong Hu;Yang Chen;Hu Chen

Frequent Co-Authors

Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Dinggang Shen
Dinggang Shen ShanghaiTech University
Zhang Yi
Zhang Yi Sichuan University
Feng Lin
Feng Lin Wayne State University
Leyuan Fang
Leyuan Fang Hunan University
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
Hengyong Yu
Hengyong Yu University of Massachusetts Lowell
Yi Zhang
Yi Zhang Nanyang Technological University
Hongnian Yu
Hongnian Yu Edinburgh Napier University
Feng Shi
Feng Shi United Imaging Intelligence (China)

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