World's Best Scientists 2026 revealed!
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Computer Science
Australia
2023

D-Index & Metrics

Computer Science

D-Index
83
Citations
32766
World Ranking
892
National Ranking
135

Dong Xu 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 Dong Xu 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: 275 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.

Dong Xu 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 Dong Xu 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: 83 D-Index — 94th percentile

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

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

Research.com Recognitions

  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2020 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to machine learning for visual recognition and domain adaption

Overview

Dong Xu is affiliated with the University of Hong Kong in China. Their research expertise lies primarily within the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The scientist has contributed to multiple main topics of research that include:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • 3D Shape Modeling and Analysis
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Dong Xu's work appears frequently in several publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among recent papers authored or co-authored by Dong Xu are:

  • Salient Object Detection via Integrity Learning, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • An End-to-End Learning Framework for Video Compression, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors in the scientist's collaborative work include Wanli Ouyang, Guo Lu, Lu Sheng, Jinyang Guo, and Qian Yu. Dong Xu's collaborations with these individuals indicate robust engagement with other researchers in related disciplines.

The scientist has been recognized with fellowships awarded by professional organizations. These include the Fellow of the Indian National Academy of Engineering (INAE) in 2020 and the Fellow of the International Association for Pattern Recognition (IAPR) in 2016. The latter fellowship was conferred for contributions to machine learning for visual recognition and domain adaptation.

Best Publications

  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

    Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang

  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

    Jungong Han;Ling Shao;Dong Xu;Jamie Shotton

  • Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

    Jun Liu;Amir Shahroudy;Dong Xu;Gang Wang

  • Mesh editing with poisson-based gradient field manipulation

    Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

  • Generalized Latent Multi-View Subspace Clustering

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

  • DVC: An End-To-End Deep Video Compression Framework

    Guo Lu;Wanli Ouyang;Dong Xu;Xiaoyun Zhang

  • Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

    Junwei Han;Dingwen Zhang;Gong Cheng;Nian Liu

  • Visual event recognition in videos by learning from web data

    Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang;Jiebo Luo

  • A Siamese Long Short-Term Memory Architecture for Human Re-identification

    Rahul Rama Varior;Bing Shuai;Jiwen Lu;Dong Xu

  • Domain Transfer Multiple Kernel Learning

    Lixin Duan;I. W. Tsang;Dong Xu

  • Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

    Feiping Nie;Dong Xu;Ivor Wai-Hung Tsang;Changshui Zhang

  • Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

    Jun Liu;Amir Shahroudy;Dong Xu;Alex C. Kot

  • Collaborative and Adversarial Network for Unsupervised Domain Adaptation

    Weichen Zhang;Wanli Ouyang;Wen Li;Dong Xu

  • Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

    Wen Li;Lixin Duan;Dong Xu;Ivor W. Tsang

  • A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

    Yi Yang;Feiping Nie;Dong Xu;Jiebo Luo

  • Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.

    D. K. Oller;P. Niyogi;S. Gray;J. A. Richards

  • Visual event recognition in videos by learning from web data

    Unknown

  • Multilinear Discriminant Analysis for Face Recognition

    Shuicheng Yan;Dong Xu;Qiang Yang;Lei Zhang

  • Image Clustering Using Local Discriminant Models and Global Integration

    Yi Yang;Dong Xu;Feiping Nie;Shuicheng Yan

  • Trace Ratio vs. Ratio Trace for Dimensionality Reduction

    Huan Wang;Shuicheng Yan;Dong Xu;Xiaoou Tang

  • Domain adaptation from multiple sources via auxiliary classifiers

    Lixin Duan;Ivor W. Tsang;Dong Xu;Tat-Seng Chua

Frequent Co-Authors

Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Wen Li
Wen Li University of Electronic Science and Technology of China
Shuicheng Yan
Shuicheng Yan National University of Singapore
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Jiebo Luo
Jiebo Luo University of Rochester
Xuelong Li
Xuelong Li China Telecom (China)
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Lixin Duan
Lixin Duan University of Electronic Science and Technology of China
Dacheng Tao
Dacheng Tao Nanyang Technological University
Feiping Nie
Feiping Nie Northwestern Polytechnical University

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