World's Best Scientists 2026 revealed!
Xiahai Zhuang

Xiahai Zhuang

D-Index & Metrics

Computer Science

D-Index
41
Citations
6845
World Ranking
8864
National Ranking
1144

Xiahai Zhuang 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 Xiahai Zhuang 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Xiahai Zhuang 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 Xiahai Zhuang 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Xiahai Zhuang is affiliated with Fudan University in China and contributes extensively to the fields of medicine and computer science, with a particular focus on radiology, nuclear medicine and imaging, computer vision and pattern recognition, artificial intelligence, cardiology and cardiovascular medicine, as well as biomedical engineering.

Their research primarily revolves around medical image segmentation techniques, advanced MRI techniques and applications, radiomics and machine learning in medical imaging, cardiac imaging and diagnostics, advanced neural network applications, medical imaging techniques and applications, and domain adaptation and few-shot learning.

Frequent co-authors collaborating with Xiahai Zhuang include Lei Li, Fuping Wu, Xinzhe Luo, Liqin Huang, and Wangbin Ding.

Their publications have appeared mostly in venues such as:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Journal of Biomedical and Health Informatics

Some recent papers authored or co-authored by Xiahai Zhuang include:

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging, 2020, Medical Image Analysis
  • CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation, 2020, IEEE Transactions on Medical Imaging
  • Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge, 2021, Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
  • Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation, 2021, IEEE Transactions on Medical Imaging
  • Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge, 2022, Medical Image Analysis

Xiahai Zhuang has also contributed to book publications with Springer Science+Business Media, including:

  • Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2020
  • Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Best Publications

  • Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

    Xiahai Zhuang;Juan Shen

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

    Víctor M. Campello;Polyxeni Gkontra;Cristian Izquierdo;Carlos Martín-Isla

  • Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images

    Xiahai Zhuang

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

    Xiahai Zhuang;Kawal S Rhode;Reza S Razavi;David J Hawkes

  • Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

    Yechong Huang;Jiahang Xu;Yuncheng Zhou;Tong Tong

  • Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.

    Wenzhe Shi;Jose Caballero;Christian Ledig;Xiahai Zhuang

  • PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

    Qi Dou;Cheng Ouyang;Cheng Chen;Hao Chen

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Challenges and methodologies of fully automatic whole heart segmentation: a review

    Xiahai Zhuang

  • The estimation of patient-specific cardiac diastolic functions from clinical measurements

    Jiahe Xi;Jiahe Xi;Pablo Lamata;Pablo Lamata;Steven Niederer;Steven Niederer;Sander Land;Sander Land

  • A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations

    Xiahai Zhuang;Simon Arridge;David J. Hawkes;Sebastien Ourselin

  • CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

    Unknown

  • Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI

    Xiahai Zhuang

  • A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

    Wenzhe Shi;Xiahai Zhuang;Haiyan Wang;S. Duckett

  • Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.

    Xiahai Zhuang;Wenjia Bai;Jingjing Song;Songhua Zhan

  • CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation

    Fuping Wu;Xiahai Zhuang

  • Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

    Lei Li;Fuping Wu;Guang Yang;Lingchao Xu

  • Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

    Qian Yue;Xinzhe Luo;Qing Ye;Lingchao Xu

  • An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration --- Application to Automatic Whole Heart Segmentation

    Xiahai Zhuang;Kawal Rhode;Simon Arridge;Reza Razavi

  • Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.

    Xiahai Zhuang;Jiahang Xu;Xinzhe Luo;Chen Chen

  • Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

    Mihaela. Pop;Maxime. Sermesant

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Wenzhe Shi
Wenzhe Shi Twitter (United States)
David N. Firmin
David N. Firmin National Institutes of Health
Reza Razavi
Reza Razavi King's College London
Julia A. Schnabel
Julia A. Schnabel King's College London
David J. Hawkes
David J. Hawkes University College London
Kawal Rhode
Kawal Rhode King's College London
Wenjia Bai
Wenjia Bai Imperial College London
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong

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