World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
40853
World Ranking
573
National Ranking
80

Hongsheng Li 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 Hongsheng Li 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: 306 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Hongsheng Li 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 Hongsheng Li 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: 91 D-Index — 96th percentile

96% 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

Overview

Hongsheng Li is affiliated with the Chinese University of Hong Kong in China. Their research primarily spans computer science, with a focus on computer vision and pattern recognition, and artificial intelligence. Their work also covers aerospace engineering, computational mechanics, and radiology, nuclear medicine, and imaging.

The scientist's recent publications include:

  • From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network (2020, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • CLIP-Adapter: Better Vision-Language Models with Feature Adapters (2023, International Journal of Computer Vision)
  • UniFormer: Unifying Convolution and Self-Attention for Visual Recognition (2023, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection (2022, International Journal of Computer Vision)
  • Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification (2020, arXiv (Cornell University))

Frequent co-authors in their research include Xiaogang Wang, Yu Qiao, Jifeng Dai, Guanglu Song, and Aojun Zhou.

Hongsheng Li has published extensively in several venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision

The scientist's research interests focus on the following topics:

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

Best Publications

  • PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

    Shaoshuai Shi;Xiaogang Wang;Hongsheng Li

  • StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li

  • PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

    Shaoshuai Shi;Chaoxu Guo;Li Jiang;Zhe Wang

  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • Cross-scene crowd counting via deep convolutional neural networks

    Cong Zhang;Hongsheng Li;Xiaogang Wang;Xiaokang Yang

  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • 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

  • InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

    Unknown

  • From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network

    Shaoshuai Shi;Zhe Wang;Jianping Shi;Xiaogang Wang

  • Group-Wise Correlation Stereo Network

    Xiaoyang Guo;Kai Yang;Wukui Yang;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

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

    Wanli Ouyang;Xiaogang Wang;Xingyu Zeng;Shi Qiu

  • Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

    Xinge Zhu;Hui Zhou;Tai Wang;Fangzhou Hong

  • Object Detection from Video Tubelets with Convolutional Neural Networks

    Kai Kang;Wanli Ouyang;Hongsheng Li;Xiaogang Wang

  • Person Search with Natural Language Description

    Shuang Li;Tong Xiao;Hongsheng Li;Bolei Zhou

  • 3D Human Pose Estimation in the Wild by Adversarial Learning

    Wei Yang;Wanli Ouyang;Xiaolong Wang;Jimmy Ren

  • Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification

    Feng Zhu;Hongsheng Li;Wanli Ouyang;Nenghai Yu

  • Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

    Yixiao Ge;Dapeng Chen;Hongsheng Li

  • Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

    Qi Chu;Wanli Ouyang;Hongsheng Li;Xiaogang Wang

  • Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification

    Zhongdao Wang;Luming Tang;Xihui Liu;Zhuliang Yao

Frequent Co-Authors

Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Shuai Yi
Shuai Yi SenseTime
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
Jianping Shi
Jianping Shi SenseTime
Junjie Yan
Junjie Yan SenseTime
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Jimmy Ren
Jimmy Ren Hong Kong Metropolitan University
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey

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