World's Best Scientists 2026 revealed!
Ling-Yu Duan

Ling-Yu Duan

D-Index & Metrics

Computer Science

D-Index
57
Citations
13477
World Ranking
3824
National Ranking
511

Ling-Yu 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 Ling-Yu 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: 288 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Ling-Yu 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 Ling-Yu 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Ling-Yu Duan is affiliated with Peking University in China and has an extensive publication record mainly in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition. Their research encompasses a variety of subfields including Artificial Intelligence, Biomedical Engineering, Building and Construction, and Radiology, Nuclear Medicine and Imaging.

Their scholarly work covers multiple topics such as Video Surveillance and Tracking Methods, Domain Adaptation and Few-Shot Learning, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, Advanced Image Processing Techniques, Human Pose and Action Recognition, and Advanced Neural Network Applications.

Some of the recent papers authored or coauthored by Ling-Yu Duan include:

  • "Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics," 2020, IEEE Transactions on Image Processing
  • "IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification," 2020, arXiv (Cornell University)
  • "Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Ling-Yu Duan frequently collaborates with a group of coauthors, including Wenhan Yang, Jun Liu, Jiaying Liu, Yongxing Dai, and Yan Bai.

Their publications often appear in prominent research venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology

Best Publications

  • NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

    Jun Liu;Amir Shahroudy;Mauricio Perez;Gang Wang

  • Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks

    Jun Liu;Gang Wang;Ling-Yu Duan;Kamila Abdiyeva

  • Global Context-Aware Attention LSTM Networks for 3D Action Recognition

    Jun Liu;Gang Wang;Ping Hu;Ling-Yu Duan

  • Exploring Object Relation in Mean Teacher for Cross-Domain Detection

    Qi Cai;Yingwei Pan;Chong-Wah Ngo;Xinmei Tian

  • VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild

    Yihang Lou;Yan Bai;Jun Liu;Shiqi Wang

  • Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation

    Haoran Wang;Tong Shen;Wei Zhang;Ling-Yu Duan

  • A unified framework for semantic shot classification in sports video

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

  • Group-Sensitive Triplet Embedding for Vehicle Reidentification

    Yan Bai;Yihang Lou;Feng Gao;Shiqi Wang

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

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

  • Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

    Lingyu Duan;Jiaying Liu;Wenhan Yang;Tiejun Huang

  • Live sports event detection based on broadcast video and web-casting text

    Changsheng Xu;Jinjun Wang;Kongwah Wan;Yiqun Li

  • Location Discriminative Vocabulary Coding for Mobile Landmark Search

    Rongrong Ji;Ling-Yu Duan;Jie Chen;Hongxun Yao

  • HMM-Based audio keyword generation

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

  • Group-sensitive multiple kernel learning for object categorization

    Jingjing Yang;Yuanning Li;Yonghong Tian;Lingyu Duan

  • Benchmarking Single-Image Reflection Removal Algorithms

    Renjie Wan;Boxin Shi;Ling-Yu Duan;Ah-Hwee Tan

  • Embedding Adversarial Learning for Vehicle Re-Identification

    Yihang Lou;Yan Bai;Jun Liu;Shiqi Wang

  • Skeleton-Based Online Action Prediction Using Scale Selection Network

    Jun Liu;Amir Shahroudy;Gang Wang;Ling-Yu Duan

  • Overview of the MPEG-CDVS Standard

    Ling-Yu Duan;Vijay Chandrasekhar;Jie Chen;Jie Lin

  • IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID

    Yongxing Dai;Jun Liu;Yifan Sun;Zekun Tong

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

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

  • Unified Spatio-Temporal Attention Networks for Action Recognition in Videos

    Dong Li;Ting Yao;Ling-Yu Duan;Tao Mei

  • Feature Boosting Network For 3D Pose Estimation

    Jun Liu;Henghui Ding;Amir Shahroudy;Ling-Yu Duan

Frequent Co-Authors

Wen Gao
Wen Gao Peking University
Tiejun Huang
Tiejun Huang Peking University
Alex C. Kot
Alex C. Kot Nanyang Technological University
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Shiqi Wang
Shiqi Wang City University of Hong Kong
Qi Tian
Qi Tian Huawei Technologies (China)
Rongrong Ji
Rongrong Ji Xiamen University
Boxin Shi
Boxin Shi Peking University
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Hanqing Lu
Hanqing Lu Chinese Academy of Sciences

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re interested in Computer Science, several related online degrees can broaden your skills and expand your career options. Many students combine or switch between similar disciplines, such as engineering and data science, to increase their career flexibility. Popular choices include online mechanical engineering degrees and physics degree online programs, both of which integrate well with computer science concepts.

Data science is another in-demand field leveraging programming, analytics, and machine learning. Those seeking affordable options can explore affordable data science degree programs throughout the USA. Additionally, computer science students often look into electrical engineering for its emphasis on hardware and networks. Consider reviewing electrical engineering online tuition costs to find accredited, cost-effective options.

Expanding your expertise through related online degrees can open doors across tech, research, and engineering sectors. Carefully research program costs, accreditation, and specializations to align with your career goals.

Best Scientists Citing Ling-Yu Duan

Trending Scientists

Recently Published Articles