World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5298
World Ranking
11293
National Ranking
4658

Dajiang Zhu 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 Dajiang Zhu 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.

Dajiang Zhu 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 Dajiang Zhu 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

Dajiang Zhu is affiliated with The University of Texas at Arlington in the United States. Their research spans across Medicine, Computer Science, and Neuroscience, with a particular focus on Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, and Health Informatics.

The scientist's work centers on multiple key topics in their fields of study, including:

  • Functional Brain Connectivity Studies
  • Topic Modeling
  • Advanced Neuroimaging Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Healthcare
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function

Among Dajiang Zhu's recent publications are several papers published in 2023, such as:

  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models, 2023, arXiv (Cornell University)
  • Summary of ChatGPT-Related research and perspective towards the future of large language models, 2023, Meta-Radiology
  • Review of large vision models and visual prompt engineering, 2023, Meta-Radiology
  • Prompt Engineering for Healthcare: Methodologies and Applications, 2023, arXiv (Cornell University)
  • AugGPT: Leveraging ChatGPT for Text Data Augmentation, 2023, arXiv (Cornell University)

Dajiang Zhu has frequently collaborated with several co-authors, including:

  • Tianming Liu
  • Zhengliang Liu
  • Lin Zhao
  • Haixing Dai
  • Zihao Wu

The scientist's publications appear extensively in venues such as:

  • arXiv (Cornell University)
  • UNC Libraries
  • Meta-Radiology
  • Medical Image Analysis
  • Cerebral Cortex

Dajiang Zhu has contributed to book publications as well, including the title Deep Generative Models published by Springer Science+Business Media in 2022.

Best Publications

  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

    Unknown

  • Sparse representation of whole-brain fMRI signals for identification of functional networks.

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space

    Junwei Han;Xiang Ji;Xintao Hu;Dajiang Zhu

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • ChatAug: Leveraging ChatGPT for Text Data Augmentation

    Unknown

  • Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Fusing DTI and fMRI data: A survey of methods and applications

    Dajiang Zhu;Tuo Zhang;Xi Jiang;Xintao Hu

  • DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

    Unknown

  • Prompt Engineering for Healthcare: Methodologies and Applications

    Unknown

  • Axonal Fiber Terminations Concentrate on Gyri

    Jingxin Nie;Lei Guo;Kaiming Li;Kaiming Li;Yonghua Wang

  • An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT

    Unknown

  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

    Unknown

  • Predicting Functional Cortical ROIs via DTI-Derived Fiber Shape Models

    Tuo Zhang;Lei Guo;Kaiming Li;Kaiming Li;Changfeng Jing

  • Differentiate ChatGPT-generated and Human-written Medical Texts

    Unknown

  • Characterizing and Differentiating Brain State Dynamics via Hidden Markov Models

    Jinli Ou;Li Xie;Changfeng Jin;Xiang Li

  • Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment.

    Lu Zhang;Li Wang;Jean Gao;Shannon L. Risacher

  • Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles

    Dajiang Zhu;Kaiming Li;Kaiming Li;Carlos Cesar Faraco;Fan Deng

  • Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data

    Wei Zhang;Jinglei Lv;Xiang Li;Dajiang Zhu

  • Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles

    Dajiang Zhu;Kaiming Li;Carlos Faraco;Fan Deng

  • A functional model of cortical gyri and sulci

    Fan Deng;Xi Jiang;Dajiang Zhu;Tuo Zhang;Tuo Zhang

  • Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering

    Hanbo Chen;Kaiming Li;Dajiang Zhu;Xi Jiang

  • Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles

    Kaiming Li;Lei Guo;Carlos Faraco;Dajiang Zhu

  • Inferring functional interaction and transition patterns via dynamic Bayesian variable partition models.

    Jing Zhang;Xiang Li;Cong Li;Zhichao Lian

  • Atomic dynamic functional interaction patterns for characterization of ADHD

    Jinli Ou;Zhichao Lian;Li Xie;Xiang Li

  • Visual analytics of brain networks.

    Kaiming Li;Lei Guo;Carlos Faraco;Dajiang Zhu

  • Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data.

    Jinglei Lv;Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Bridging low-level features and high-level semantics via fMRI brain imaging for video classification

    Xintao Hu;Fan Deng;Kaiming Li;Tuo Zhang

  • Characterization of task-free and task-performance brain states via functional connectome patterns.

    Xin Zhang;Xin Zhang;Lei Guo;Xiang Li;Tuo Zhang;Tuo Zhang

Frequent Co-Authors

Tianming Liu
Tianming Liu University of Georgia
Kaiming Li
Kaiming Li Sichuan University
Xintao Hu
Xintao Hu Northwestern Polytechnical University
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Junwei Han
Junwei Han Northwestern Polytechnical University
Paul M. Thompson
Paul M. Thompson University of Southern California
Dinggang Shen
Dinggang Shen ShanghaiTech University
Li Wang
Li Wang National Cheng Kung University
Lingjiang Li
Lingjiang Li Central South University
L. Stephen Miller
L. Stephen Miller University of Georgia

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