World's Best Scientists 2026 revealed!
Wanli Ouyang

Wanli Ouyang

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Computer Science
China
2026
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Computer Science
Australia
2023

D-Index & Metrics

Computer Science

D-Index
98
Citations
44249
World Ranking
401
National Ranking
50

Wanli Ouyang 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 Wanli Ouyang 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: 343 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Wanli Ouyang 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 Wanli Ouyang 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: 98 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Wanli Ouyang is affiliated with Shanghai AI Lab in China and has contributed extensively to the field of computer science, with a primary focus on computer vision and pattern recognition. Their research spans various subfields including artificial intelligence, molecular biology, computational mechanics, and aerospace engineering.

The scientist's main research topics cover:

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

Wanli Ouyang's frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology

Selected recent papers authored or co-authored by Wanli Ouyang are:

  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-class Token Transformer for Weakly Supervised Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments, 2020, IEEE Transactions on Image Processing
  • Geometry Uncertainty Projection Network for Monocular 3D Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authors collaborating with Wanli Ouyang include:

  • Lei Bai
  • Tong He
  • Shixiang Tang
  • Dongzhan Zhou
  • Baopu Li

Wanli Ouyang has also contributed to book publications, primarily through Springer Science+Business Media, with multiple editions of the work titled Image and Graphics published in 2023.

Best Publications

  • Deep Learning for Generic Object Detection: A Survey

    Li Liu;Li Liu;Wanli Ouyang;Xiaogang Wang;Paul W. Fieguth

  • Libra R-CNN: Towards Balanced Learning for Object Detection

    Jiangmiao Pang;Kai Chen;Jianping Shi;Huajun Feng

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Unsupervised Salience Learning for Person Re-identification

    Rui Zhao;Wanli Ouyang;Xiaogang Wang

  • Visual Tracking with Fully Convolutional Networks

    Lijun Wang;Wanli Ouyang;Xiaogang Wang;Huchuan Lu

  • Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

    Ziyu Liu;Hongwen Zhang;Zhenghao Chen;Zhiyong Wang

  • Saliency detection by multi-context deep learning

    Rui Zhao;Wanli Ouyang;Hongsheng Li;Xiaogang Wang

  • Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

    Tong Xiao;Hongsheng Li;Wanli Ouyang;Xiaogang Wang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • Joint Deep Learning for Pedestrian Detection

    Wanli Ouyang;Xiaogang Wang

  • Multi-context Attention for Human Pose Estimation

    Xiao Chu;Wei Yang;Wanli Ouyang;Cheng Ma

  • Mask-Guided Contrastive Attention Model for Person Re-identification

    Chunfeng Song;Yan Huang;Wanli Ouyang;Liang Wang

  • Learning Mid-level Filters for Person Re-identification

    Rui Zhao;Wanli Ouyang;Xiaogang Wang

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

    Guo Lu;Wanli Ouyang;Dong Xu;Xiaoyun Zhang

  • Person Re-identification by Salience Matching

    Rui Zhao;Wanli Ouyang;Xiaogang Wang

  • T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

    Kai Kang;Hongsheng Li;Junjie Yan;Xingyu Zeng

  • Learning Feature Pyramids for Human Pose Estimation

    Wei Yang;Shuang Li;Wanli Ouyang;Hongsheng Li

  • SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction

    Pu Zhang;Wanli Ouyang;Pengfei Zhang;Jianru Xue

  • Scene Graph Generation from Objects, Phrases and Region Captions

    Yikang Li;Wanli Ouyang;Bolei Zhou;Kun Wang

  • DeepID-Net: Deformable deep convolutional neural networks for object detection

    Wanli Ouyang;Xiaogang Wang;Xingyu Zeng;Shi Qiu

  • Attention-Aware Compositional Network for Person Re-identification

    Jing Xu;Rui Zhao;Feng Zhu;Huaming Wang

Frequent Co-Authors

Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Junjie Yan
Junjie Yan SenseTime
Dong Xu
Dong Xu University of Hong Kong
Nicu Sebe
Nicu Sebe University of Trento
Chen Change Loy
Chen Change Loy Nanyang Technological University
Jianping Shi
Jianping Shi SenseTime
Ping Luo
Ping Luo University of Hong Kong
Yan Huang
Yan Huang Chinese Academy of Sciences
Dahua Lin
Dahua Lin Chinese University of Hong Kong

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