World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
6822
World Ranking
6611
National Ranking
888

Heye 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 Heye 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Heye 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 Heye 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Heye Zhang is affiliated with Sun Yat-sen University in China. Their research primarily focuses on medicine, with a specific concentration on radiology, nuclear medicine, and imaging. They have contributed to the fields of cardiology and cardiovascular medicine, biomedical engineering, computer vision and pattern recognition, and surgery.

Their work extensively covers topics including cardiac imaging and diagnostics, advanced X-ray and CT imaging, and coronary interventions and diagnostics. Additional areas of study include medical imaging techniques and applications, cardiac valve diseases and treatments, cardiovascular function and risk factors, and advanced MRI techniques and applications.

Heye Zhang has published in a range of scientific venues, some of their most frequent publication venues are:

  • IEEE Transactions on Medical Imaging
  • arXiv (Cornell University)
  • European Radiology
  • Information Fusion
  • Future Generation Computer Systems

They have collaborated with several co-authors, particularly with Zhifan Gao, Guang Yang, Lei Xu, Xiujian Liu, and Shuo Li.

Among recent papers, notable publications include:

  • "Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention" (2020) published in Future Generation Computer Systems
  • "Salient Object Detection in the Distributed Cloud-Edge Intelligent Network" (2020) published in IEEE Network
  • "Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation" (2020) published in IEEE Transactions on Industrial Informatics
  • "Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction" (2022) published in Patterns
  • "Iterative Residual Optimization Network for Limited-Angle Tomographic Reconstruction" (2024) published in IEEE Transactions on Image Processing

Best Publications

  • Unobtrusive Sensing and Wearable Devices for Health Informatics

    Ya-Li Zheng;Xiao-Rong Ding;Carmen Chung Yan Poon;Benny Ping Lai Lo

  • A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.

    Sandeep Pirbhulal;Sandeep Pirbhulal;Heye Zhang;Eshrat E Alahi;Eshrat E Alahi;Hemant Ghayvat

  • Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network.

    Hai Ye;Feng Gao;Youbing Yin;Danfeng Guo

  • Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

    Nan Zhang;Guang Yang;Zhifan Gao;Chenchu Xu

  • OpenCMISS:A multi-physics & multi-scale computational infrastructure for the VPH/Physiome project

    Chris Bradley;Andy Bowery;Randall Britten;Vincent Budelmann

  • Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks

    Sandeep Pirbhulal;Heye Zhang;Wanqing Wu;Subhas Chandra Mukhopadhyay

  • Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials

    Linwei Wang;Heye Zhang;K. Wong;Huafeng Liu

  • Comparison of Heart Rate Variability from PPG with That from ECG

    Wan-Hua Lin;Wan-Hua Lin;Dan Wu;Dan Wu;Chunyue Li;Chunyue Li;Heye Zhang;Heye Zhang

  • Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach

    Zhifan Gao;Yanjie Li;Yuanyuan Sun;Jiayuan Yang

  • An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram

    Yufa Xia;Huailing Zhang;Lin Xu;Zhifan Gao

  • Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.

    Chenchu Xu;Chenchu Xu;Lei Xu;Zhifan Gao;Shen Zhao

  • SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT

    Chengjia Wang;Shizhou Dong;Xiaofeng Zhao;Giorgos Papanastasiou

  • Reweighted Anisotropic Total Variation Minimization for Limited-Angle CT Reconstruction

    Ting Wang;Katsuhiro Nakamoto;Heye Zhang;Huafeng Liu

  • Assessment of Biofeedback Training for Emotion Management Through Wearable Textile Physiological Monitoring System

    Wanqing Wu;Heye Zhang;Sandeep Pirbhulal;Subhas Chandra Mukhopadhyay

  • A survey of GPU-based medical image computing techniques

    Lin Shi;Wen Liu;Heye Zhang;Yongming Xie

  • Quantitative Assessment for Self-Tracking of Acute Stress Based on Triangulation Principle in a Wearable Sensor System

    Wanqing Wu;Sandeep Pirbhulal;Heye Zhang;Subhas Chandra Mukhopadhyay

  • An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks

    Sandeep Pirbhulal;Heye Zhang;Subhas Chandra Mukhopadhyay;Chunyue Li

  • Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.

    Zhifan Gao;Xin Wang;Shanhui Sun;Dan Wu

  • Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.

    Guang Yang;Jun Chen;Zhifan Gao;Shuo Li

  • Robust estimation of carotid artery wall motion using the elasticity-based state-space approach.

    Zhifan Gao;Huahua Xiong;Xin Liu;Heye Zhang

  • Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.

    Qiuyu Wang;Qingneng Li;Rui Mi;Hai Ye

Frequent Co-Authors

Yuan-Ting Zhang
Yuan-Ting Zhang City University of Hong Kong
Shuo Li
Shuo Li Case Western Reserve University
Xin Liu
Xin Liu Chinese Academy of Sciences
Sandeep Pirbhulal
Sandeep Pirbhulal Norwegian University of Science and Technology
David N. Firmin
David N. Firmin National Institutes of Health
Subhas Chandra Mukhopadhyay
Subhas Chandra Mukhopadhyay Macquarie University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Jianwen Luo
Jianwen Luo Tsinghua University
Peter Hunter
Peter Hunter University of Auckland
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur

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