World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5298
World Ranking
11295
National Ranking
4658

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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