World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
64
Citations
14808
World Ranking
3268
National Ranking
1515

Computer Science

D-Index
62
Citations
15094
World Ranking
2904
National Ranking
1429

Tianming Liu 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 Tianming Liu 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: 511 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Tianming Liu 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 Tianming Liu 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Tianming Liu is affiliated with the University of Georgia in the United States and has contributed extensively to interdisciplinary research spanning Medicine, Computer Science, and Neuroscience. Their work integrates themes from cognitive neuroscience, artificial intelligence, and medical imaging, supporting advancements in both theoretical understanding and practical applications.

Their research focuses on several specialized fields, including:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics

Tianming Liu's scholarship addresses a range of topics, particularly in brain functionality and medical imaging technologies, covering:

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

Recent publications illustrate Liu's engagement with contemporary computational and biomedical challenges. Selected papers include:

  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models, 2023, Meta-Radiology
  • Detection and Analysis of Microplastics in Human Sputum, 2022, Environmental Science & Technology
  • Review of large vision models and visual prompt engineering, 2023, Meta-Radiology
  • A generalist vision-language foundation model for diverse biomedical tasks, 2024, Nature Medicine
  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models, 2023, arXiv (Cornell University)

Their frequent coauthors reflect active collaboration within the scientific community. Key collaborators include:

  • Dajiang Zhu
  • Zhengliang Liu
  • Tuo Zhang
  • Lin Zhao
  • Xi Jiang

Publication venues for Tianming Liu's work reveal a strong presence in both traditional and open-access platforms, with multiple contributions in:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • UNC Libraries
  • SSRN Electronic Journal
  • Meta-Radiology

Best Publications

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

    Unknown

  • A survey of MRI-based brain tumor segmentation methods

    Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu

  • Review of methods for functional brain connectivity detection using fMRI

    Kaiming Li;Lei Guo;Jingxin Nie;Gang Li

  • Mutations in LRP2 , which encodes the multiligand receptor megalin, cause Donnai-Barrow and facio-oculo-acoustico-renal syndromes

    Sibel Kantarci;Lihadh Al-Gazali;R Sean Hill;R Sean Hill;Dian Donnai

  • A novel video key-frame-extraction algorithm based on perceived motion energy model

    Tianming Liu;Hong-Jiang Zhang;Feihu Qi

  • Predicting eye fixations using convolutional neural networks

    Nian Liu;Junwei Han;Dingwen Zhang;Shifeng Wen

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

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Neurochemical regulation of the expression and function of glial fibrillary acidic protein in astrocytes

    Unknown

  • 3D cell nuclei segmentation based on gradient flow tracking.

    Gang Li;Gang Li;Tianming Liu;Tianming Liu;Ashley Tarokh;Ashley Tarokh;Jingxin Nie;Jingxin Nie

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

    Junwei Han;Xiang Ji;Xintao Hu;Dajiang Zhu

  • Modeling Task fMRI Data Via Deep Convolutional Autoencoder

    Heng Huang;Xintao Hu;Yu Zhao;Milad Makkie

  • Evaluating large language models on a highly-specialized topic, radiation oncology physics

    Unknown

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

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

  • Brain tissue segmentation based on DTI data.

    Tianming Liu;Hai Li;Hai Li;Hai Li;Kelvin K. Wong;Kelvin K. Wong;Ashley Tarokh

  • Zebrafish lacking Alzheimer presenilin enhancer 2 (Pen-2) demonstrate excessive p53-dependent apoptosis and neuronal loss.

    William A. Campbell;Hongwei Yang;Henrik Zetterberg;Stéphanie Baulac

  • ChatAug: Leveraging ChatGPT for Text Data Augmentation

    Unknown

  • Resting State Functional Connectivity in Mild Traumatic Brain Injury at the Acute Stage: Independent Component and Seed-Based Analyses

    Armin Iraji;Randall R. Benson;Robert D. Welch;Brian J. O'Neil

  • Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients.

    Xiang Li;Dajiang Zhu;Xi Jiang;Changfeng Jin

  • 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

  • Deformable registration of cortical structures via hybrid volumetric and surface warping.

    Tianming Liu;Dinggang Shen;Christos Davatzikos

  • Axonal Fiber Terminations Concentrate on Gyri

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

  • Streaming Methods and Systems

    Tianming Liu;Hong-Jiang Zhang;Wei Qi

  • Two-Stage Learning to Predict Human Eye Fixations via SDAEs

    Junwei Han;Dingwen Zhang;Shifeng Wen;Lei Guo

Frequent Co-Authors

Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Xintao Hu
Xintao Hu Northwestern Polytechnical University
Junwei Han
Junwei Han Northwestern Polytechnical University
Dajiang Zhu
Dajiang Zhu The University of Texas at Arlington
Kaiming Li
Kaiming Li Sichuan University
Gang Li
Gang Li University of North Carolina at Chapel Hill
Stephen T. C. Wong
Stephen T. C. Wong Houston Methodist
Dinggang Shen
Dinggang Shen ShanghaiTech University
Xiaoping Hu
Xiaoping Hu University of California, Riverside
L. Stephen Miller
L. Stephen Miller University of Georgia

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