World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7923
World Ranking
11047
National Ranking
1363

Yitian Zhao 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 Yitian Zhao 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Yitian Zhao 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 Yitian Zhao 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Yitian Zhao is affiliated with the Chinese Academy of Sciences in China and specializes in research at the intersection of medicine and computer science. Their work primarily focuses on the fields of radiology, nuclear medicine and imaging, ophthalmology, computer vision and pattern recognition, biomedical engineering, and artificial intelligence.

The scientist's research extensively covers topics related to retinal imaging and analysis, glaucoma and retinal disorders, retinal diseases and treatments, medical image segmentation techniques, optical coherence tomography applications, retinal and optic conditions, and digital imaging for blood diseases.

Yitian Zhao has contributed to numerous publications with recent notable papers including:

  • Understanding adversarial attacks on deep learning based medical image analysis systems, 2020, Pattern Recognition
  • DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging, 2020, Medical Image Analysis
  • ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model, 2020, IEEE Transactions on Medical Imaging
  • Structure and Illumination Constrained GAN for Medical Image Enhancement, 2021, IEEE Transactions on Medical Imaging

The scientist frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IEEE Journal of Biomedical and Health Informatics
  • Frontiers in Cell and Developmental Biology

Notable frequent co-authors in Yitian Zhao's work include:

  • Yalin Zheng (65 collaborations)
  • Jiang Liu (59 collaborations)
  • Jiong Zhang (47 collaborations)
  • Yanda Meng (39 collaborations)
  • Jianyang Xie (32 collaborations)

The scientific contributions of Yitian Zhao center heavily on developing and applying advanced computational methods for medical image analysis, especially in retinal imaging and segmentation. Their research spans multiple aspects of medical imaging techniques and applications, highlighting the intersection of machine learning and clinical imaging fields.

Best Publications

  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation

    Zaiwang Gu;Jun Cheng;Huazhu Fu;Kang Zhou

  • Understanding adversarial attacks on deep learning based medical image analysis systems

    Xingjun Ma;Yuhao Niu;Lin Gu;Yisen Wang

  • Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images

    Yitian Zhao;Lavdie Rada;Ke Chen;Simon P. Harding

  • CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging.

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

    Yuhui Ma;Huaying Hao;Jianyang Xie;Huazhu Fu

  • CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation

    Lei Mou;Yitian Zhao;Li Chen;Jun Cheng

  • Structure and Illumination Constrained GAN for Medical Image Enhancement.

    Yuhui Ma;Jiang Liu;Yonghuai Liu;Huazhu Fu

  • Dense Dilated Network With Probability Regularized Walk for Vessel Detection

    Lei Mou;Li Chen;Jun Cheng;Zaiwang Gu

  • An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

    Bryan M. Williams;Bryan M. Williams;Bryan M. Williams;Davide Borroni;Rongjun Liu;Yitian Zhao;Yitian Zhao

  • Retinal vessel segmentation: an efficient graph cut approach with retinex and local phase.

    Yitian Zhao;Yonghuai Liu;Xiangqian Wu;Simon P. Harding

  • A Dementia Classification Framework Using Frequency and Time-Frequency Features Based on EEG Signals

    Pholpat Durongbhan;Yifan Zhao;Liangyu Chen;Panagiotis Zis

  • Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter

    Yitian Zhao;Yalin Zheng;Yonghuai Liu;Yifan Zhao

  • An Annotation-Free Restoration Network for Cataractous Fundus Images

    Unknown

  • Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

    Huihong Zhang;Jianlong Yang;Kang Zhou;Fei Li

  • Graph-based Region and Boundary Aggregation for Biomedical Image Segmentation

    Yanda Meng;Hongrun Zhang;Yitian Zhao;Xiaoyun Yang

  • Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy

    Yitian Zhao;Yalin Zheng;Yonghuai Liu;Jian Yang

  • Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image

    Kang Zhou;Shenghua Gao;Jun Cheng;Zaiwang Gu

  • A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support.

    Tianhua Chen;Changjing Shang;Pan Su;Elpida Keravnou-Papailiou

  • Explainable Diabetic Retinopathy Detection and Retinal Image Generation

    Yuhao Niu;Lin Gu;Yitian Zhao;Feng Lu

  • Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering

    Yitian Zhao;Yonghuai Liu;Jianyang Xie;Huaizhong Zhang

  • CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

    Yuhui Ma;Huaying Hao;Huazhu Fu;Jiong Zhang

  • Medical image analysis

    Baba C. Vemuri;James S. Duncan

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Jian Yang
Jian Yang University of Birmingham
Shenghua Gao
Shenghua Gao ShanghaiTech University
Yanwu Xu
Yanwu Xu South China University of Technology
Paul L. Rosin
Paul L. Rosin Cardiff University
Ralph R. Martin
Ralph R. Martin Cardiff University
Feng Lu
Feng Lu Beihang University
Xiangqian Wu
Xiangqian Wu Harbin Institute of Technology

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