World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11758
World Ranking
7807
National Ranking
3379

Guorong Wu 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 Guorong Wu 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: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Guorong Wu 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 Guorong Wu 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Guorong Wu is a researcher affiliated with the University of North Carolina at Chapel Hill in the United States. Their work spans multiple disciplines including neuroscience, medicine, and computer science, with a strong focus on cognitive neuroscience and advanced neuroimaging techniques.

Their research primarily covers the following fields of study:

  • Neuroscience
  • Medicine
  • Computer Science

Within these fields, they have contributed significantly to subfields such as cognitive neuroscience, computer vision and pattern recognition, radiology, nuclear medicine and imaging, artificial intelligence, and biophysics.

Key topics in their body of work include:

  • Functional brain connectivity studies
  • Advanced neuroimaging techniques and applications
  • Medical image segmentation techniques
  • Neural dynamics and brain function
  • Cell image analysis techniques
  • Dementia and cognitive impairment research
  • Alzheimer's disease research and treatments

Guorong Wu has published extensively, producing studies and papers in several prominent venues. Frequent publication venues include UNC Libraries, arXiv (Cornell University), Medical Image Analysis, IEEE Transactions on Medical Imaging, and the Journal of Alzheimer's Disease.

Recent papers authored or coauthored by Guorong Wu include:

  • "Brain functional connectivity analysis based on multi-graph fusion" (2021, Medical Image Analysis)
  • "Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification" (2021, IEEE Transactions on Medical Imaging)
  • "SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images" (2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics)
  • "Sulfur Poisoning and Self-Recovery of Single-Site Rh1/Porous Organic Polymer Catalysts for Olefin Hydroformylation" (2023, Angewandte Chemie International Edition)
  • "Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses" (2020, IEEE Transactions on Medical Imaging)

Collaborative work is a significant aspect of their research, with frequent coauthors including Dinggang Shen, Minjeong Kim, Defu Yang, Tingting Dan, and Paul J. Laurienti.

Best Publications

  • Deep Learning in Medical Image Analysis

    Dinggang Shen;Guorong Wu;Heung Il Suk

  • Infant brain atlases from neonates to 1- and 2-year-olds.

    Feng Shi;Pew Thian Yap;Guorong Wu;Hongjun Jia

  • Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

    Guorong Wu;Minjeong Kim;Qian Wang;Brent C. Munsell

  • DynamicBC: A MATLAB Toolbox for Dynamic Brain Connectome Analysis

    Wei Liao;Guo-Rong Wu;Qiang Xu;Gong-Jun Ji

  • Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features

    Yang Li;Yaping Wang;Yaping Wang;Guorong Wu;Feng Shi

  • Unsupervised deep feature learning for deformable registration of MR brain images

    Guorong Wu;Minjeong Kim;Qian Wang;Yaozong Gao

  • SharpMean: groupwise registration guided by sharp mean image and tree-based registration.

    Guorong Wu;Hongjun Jia;Qian Wang;Dinggang Shen

  • ABSORB: Atlas Building by Self-organized Registration and Bundling.

    Hongjun Jia;Guorong Wu;Qian Wang;Dinggang Shen

  • A generative probability model of joint label fusion for multi-atlas based brain segmentation.

    Guorong Wu;Qian Wang;Daoqiang Zhang;Feiping Nie

  • Learning-based deformable registration of MR brain images

    Guorong Wu;Feihu Qi;Dinggang Shen

  • Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data

    Ehsan Adeli;Feng Shi;Le An;Chong Yaw Wee

  • Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.

    Guorong Wu;Minjeong Kim;Gerard Sanroma;Qian Wang

  • Consistent reconstruction of cortical surfaces from longitudinal brain MR images.

    Gang Li;Jingxin Nie;Guorong Wu;Yaping Wang

  • Information transfer and criticality in the Ising model on the human connectome.

    Daniele Marinazzo;Mario Pellicoro;Guorong Wu;Guorong Wu;Leonardo Angelini

  • Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

    Chong Yaw Wee;Zhimin Zhao;Pew Thian Yap;Guorong Wu

  • RABBIT: Rapid alignment of brains by building intermediate templates

    Songyuan Tang;Yong Fan;Guorong Wu;Minjeong Kim

  • Sparse patch-based label fusion for multi-atlas segmentation

    Daoqiang Zhang;Qimiao Guo;Guorong Wu;Dinggang Shen

  • Expanding the transfer entropy to identify information circuits in complex systems.

    Sebastiano Stramaglia;Guorong Wu;Mario Pellicoro;Daniele Marinazzo

  • iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing

    Yakang Dai;Feng Shi;Li Wang;Guorong Wu

  • Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

    Ehsan Adeli;Kim-Han Thung;Le An;Guorong Wu

  • Multi‐atlas based representations for Alzheimer's disease diagnosis

    Rui Min;Guorong Wu;Jian Cheng;Qian Wang;Qian Wang

Frequent Co-Authors

Dinggang Shen
Dinggang Shen ShanghaiTech University
Qian Wang
Qian Wang Shanghai Jiao Tong University
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Yaozong Gao
Yaozong Gao United Imaging Healthcare (China)
Feng Shi
Feng Shi United Imaging Intelligence (China)
Paul J. Laurienti
Paul J. Laurienti Wake Forest University
Weili Lin
Weili Lin University of North Carolina at Chapel Hill
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Martin Styner
Martin Styner University of North Carolina at Chapel Hill
Jason L. Stein
Jason L. Stein University of North Carolina at Chapel Hill

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