World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
8495
World Ranking
4865
National Ranking
258

Min Xu publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Min Xu sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 364 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Min Xu D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Min Xu sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Min Xu is affiliated with the University of Technology Sydney in Australia. Their research spans multiple areas within computer science and engineering, with a significant focus on computer vision, artificial intelligence, and electronic engineering.

Their primary fields of study include:

  • Computer Science
  • Engineering

Within these, subfields of particular interest are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Biomedical Engineering

Min Xu's scholarly contributions extend to a variety of topics, prominently featuring:

  • Optical measurement and interference techniques
  • Advanced Neural Network Applications
  • Recommender Systems and Techniques
  • Advanced Graph Neural Networks
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • AI in cancer detection

Their publication record includes numerous papers and books, with a notable presence in high-impact journals and preprint platforms. Frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Applied Optics
  • IEEE Transactions on Multimedia
  • Journal of the Optical Society of America A

Min Xu has also contributed to book publications, mainly with Springer Science+Business Media, where they have authored and co-authored multiple editions of "Image and Graphics" in 2023.

Recent notable papers authored by Min Xu include:

  • "A Survey on Machine Learning Techniques for Cyber Security in the Last Decade" (2020) - IEEE Access
  • "Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation" (2021) - IEEE Transactions on Multimedia
  • "Free Lunch for Few-shot Learning: Distribution Calibration" (2021) - arXiv (Cornell University)
  • "Self-supervised Pretraining of Visual Features in the Wild" (2021) - arXiv (Cornell University)
  • "GEME: Dual-stream multi-task GEnder-based micro-expression recognition" (2020) - Neurocomputing

Min Xu often collaborates with several frequent co-authors, including:

  • Zhenkun Lei
  • Chen Tang
  • Haimin Zhang
  • Jiahao Xia

Best Publications

  • A Survey on Machine Learning Techniques for Cyber Security in the Last Decade

    Kamran Shaukat;Suhuai Luo;Vijay Varadharajan;Ibrahim A. Hameed

  • A unified framework for semantic shot classification in sports video

    Ling-Yu Duan;Min Xu;Qi Tian;Chang-Sheng Xu

  • A mid-level representation framework for semantic sports video analysis

    Ling-Yu Duan;Min Xu;Tat-Seng Chua;Qi Tian

  • Creating audio keywords for event detection in soccer video

    Min Xu;N.C. Maddage;Changsheng Xu;M. Kankanhalli

  • HMM-Based audio keyword generation

    Min Xu;Ling-Yu Duan;Jianfei Cai;Liang-Tien Chia

  • Deep-IRTarget: An Automatic Target Detector in Infrared Imagery using Dual-domain Feature Extraction and Allocation

    Ruiheng Zhang;Lixin Xu;Zhengyu Yu;Ye Shi

  • LSTM-based Flight Trajectory Prediction

    Zhiyuan Shi;Min Xu;Quan Pan;Bing Yan

  • Free Lunch for Few-shot Learning: Distribution Calibration

    Shuo Yang;Lu Liu;Min Xu

  • Learning Multi-level Deep Representations for Image Emotion Classification

    Tianrong Rao;Xiaoxu Li;Min Xu

  • Hierarchical movie affective content analysis based on arousal and valence features

    Min Xu;Jesse S. Jin;Suhuai Luo;Lingyu Duan

  • Affective content analysis in comedy and horror videos by audio emotional event detection

    M. Xu;L.-T. Chia;J. Jin

  • GEME: Dual-stream multi-task GEnder-based micro-expression recognition

    Xuan Nie;Madhumita A. Takalkar;Mengyang Duan;Haimin Zhang

  • A survey: facial micro-expression recognition

    Madhumita A. Takalkar;Min Xu;Qiang Wu;Zenon Chaczko

  • Multi-level region-based Convolutional Neural Network for image emotion classification

    Tianrong Rao;Xiaoxu Li;Haimin Zhang;Min Xu

  • Multi-camera multi-player tracking with deep player identification in sports video

    Ruiheng Zhang;Ruiheng Zhang;Lingxiang Wu;Yukun Yang;Wanneng Wu;Wanneng Wu

  • Retinal fundus image registration via vascular structure graph matching

    Kexin Deng;Jie Tian;Jian Zheng;Xing Zhang

  • 4-D Flight Trajectory Prediction With Constrained LSTM Network

    Zhiyuan Shi;Min Xu;Quan Pan

  • Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition

    Xinge Zhu;Liang Li;Weigang Zhang;Tianrong Rao

  • Audio keywords generation for sports video analysis

    Min Xu;Changsheng Xu;Lingyu Duan;Jesse S. Jin

  • Land-Use/Land-Cover Changes and Their Influence on the Ecosystem in Chengdu City, China during the Period of 1992–2018

    Xiaojuan Lin;Min Xu;Chunxiang Cao;Ramesh P. Singh

  • Spectrally resolved bioluminescence tomography with adaptive finite element analysis: methodology and simulation

    Yujie Lv;Jie Tian;Jie Tian;Wenxiang Cong;Ge Wang

  • Salient Feature Region: A New Method for Retinal Image Registration

    Jian Zheng;Jie Tian;Kexin Deng;Xiaoqian Dai

  • Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets

    Madhumita A. Takalkar;Min Xu

  • A fusion scheme of visual and auditory modalities for event detection in sports video

    Min Xu;Ling-Yu Duan;Chang-Sheng Xu;Qi Tian

Frequent Co-Authors

Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Xiangjian He
Xiangjian He University of Technology Sydney
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Wei Chen
Wei Chen Northwestern University
Jie Tian
Jie Tian Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Ling-Yu Duan
Ling-Yu Duan Peking University
Xiaowen Li
Xiaowen Li Tsinghua University
Liang-Tien Chia
Liang-Tien Chia Nanyang Technological University

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