World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7830
World Ranking
10084
National Ranking
1258

Lixin Duan 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 Lixin Duan 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Lixin Duan 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 Lixin Duan 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Lixin Duan is affiliated with the University of Electronic Science and Technology of China. Their research primarily lies within the field of Computer Science, focusing on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, and Information Systems.

The scientist's recent publications cover a range of topics in domain adaptation, neural networks, and computer vision. Some notable papers include:

  • BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Domain Adversarial Reinforcement Learning for Partial Domain Adaptation, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Open Set Domain Adaptation With Soft Unknown-Class Rejection, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Structure-Aware Motion Transfer with Deformable Anchor Model, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their body of work frequently addresses cross-domain semantic segmentation, unsupervised domain adaptation, and motion transfer using advanced neural network techniques.

Frequent collaborators include:

  • Wen Li
  • Jinhong Deng
  • Ivor W. Tsang
  • Tiezheng Ge
  • Fengmao Lv

Lixin Duan's publications have appeared repeatedly in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their research topics commonly address:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications

The total number of publications attributed to them spans across 181 contributions primarily in Computer Science, with a considerable focus on machine learning methods applied to visual data and domain adaptation challenges. Their work encompasses theoretical developments and practical applications relevant to evolving areas in computer vision and artificial intelligence.

Best Publications

  • Visual event recognition in videos by learning from web data

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

  • Domain Transfer Multiple Kernel Learning

    Lixin Duan;I. W. Tsang;Dong Xu

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

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

  • Visual event recognition in videos by learning from web data

    Unknown

  • Domain adaptation from multiple sources via auxiliary classifiers

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

  • Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

    Lixin Duan;Dong Xu;I. W. Tsang

  • Domain Transfer SVM for video concept detection

    Lixin Duan;Ivor W Tsang;Dong Xu;Stephen J Maybank

  • Learning with Augmented Features for Heterogeneous Domain Adaptation

    Lixin Duan;Dong Xu;Ivor W. Tsang

  • Unbiased Mean Teacher for Cross-domain Object Detection

    Jinhong Deng;Wen Li;Yuhua Chen;Lixin Duan

  • Action recognition using context and appearance distribution features

    Xinxiao Wu;Dong Xu;Lixin Duan;Jiebo Luo

  • Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach

    Lixin Duan;Dong Xu;Shih-Fu Chang

  • Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

    Weixin Luo;Wen Liu;Dongze Lian;Jinhui Tang

  • Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

    Qing Lian;Lixin Duan;Fengmao Lv;Boqing Gong

  • Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences

    Fengmao Lv;Xiang Chen;Yanyong Huang;Lixin Duan

  • An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures

    Zhantao Cao;Lixin Duan;Guowu Yang;Ting Yue

  • Text-based image retrieval using progressive multi-instance learning

    Wen Li;Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang

  • STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition

    Yuhan Zhang;Bo Wu;Wen Li;Lixin Duan

  • JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation

    Yuming Jiang;Lixin Duan;Jun Cheng;Zaiwang Gu

  • Webly-supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames

    Chuang Gan;Chen Sun;Lixin Duan;Boqing Gong

  • A survey on computer aided diagnosis for ocular diseases

    Zhuo Zhang;Zhuo Zhang;Ruchir Srivastava;Huiying Liu;Xiangyu Chen

  • Improving Web Image Search by Bag-Based Reranking

    Lixin Duan;Wen Li;Ivor Wai-Hung Tsang;Dong Xu

  • Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

    Qing Lian;Fengmao Lv;Lixin Duan;Boqing Gong

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Dong Xu
Dong Xu University of Hong Kong
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Yanwu Xu
Yanwu Xu South China University of Technology
Wen Li
Wen Li University of Electronic Science and Technology of China
Tien Yin Wong
Tien Yin Wong Tsinghua University
Jiebo Luo
Jiebo Luo University of Rochester
Jun Cheng
Jun Cheng University of Chinese Academy of Sciences
Shenghua Gao
Shenghua Gao ShanghaiTech University

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