World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5151
World Ranking
10361
National Ranking
1281

Xiaoguang Han 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 Xiaoguang Han 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Xiaoguang Han 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 Xiaoguang Han 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

Xiaoguang Han is affiliated with the Chinese University of Hong Kong in China. Their research spans several key areas within computer science and engineering, with a particular focus on computer vision and pattern recognition, computational mechanics, and computer graphics and computer-aided design.

The scientist's work has been published extensively, with a significant number of papers appearing in venues such as arXiv (Cornell University), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, and ACM Transactions on Graphics.

Notable recent publications include:

  • "nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer" (2023) in IEEE Transactions on Image Processing
  • "Expressive Talking Head Generation with Granular Audio-Visual Control" (2022) at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Transformer with peak suppression and knowledge guidance for fine-grained image recognition" (2022) in Neurocomputing
  • "LapsCore: Language-guided Person Search via Color Reasoning" (2021) at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts" (2021) at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Xiaoguang Han's research interests and topics cover a range of areas including:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • 3D Surveying and Cultural Heritage
  • Advanced Neural Network Applications

Their frequent collaborators include Shuguang Cui, Yushuang Wu, Yizhou Yu, Lingteng Qiu, and Guanbin Li, each having coauthored multiple papers together.

The primary fields of study for Xiaoguang Han are Computer Science and Engineering, with a dominant focus on Computer Vision and Pattern Recognition, which accounts for the majority of the scientist's publications.

Best Publications

  • High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference

    Xiaoguang Han;Zhen Li;Haibin Huang;Evangelos Kalogerakis

  • Parametric reshaping of human bodies in images

    Shizhe Zhou;Hongbo Fu;Ligang Liu;Daniel Cohen-Or

  • An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition

    Sai Bi;Xiaoguang Han;Yizhou Yu

  • Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image

    Yinyu Nie;Xiaoguang Han;Shihui Guo;Yujian Zheng

  • Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks

    Junyi Pan;Xiaoguang Han;Weikai Chen;Jiapeng Tang

  • Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

    Chuan Wang;Haibin Huang;Xiaoguang Han;Jue Wang

  • FPConv: Learning Local Flattening for Point Convolution

    Yiqun Lin;Zizheng Yan;Haibin Huang;Dong Du

  • DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling

    Xiaoguang Han;Chang Gao;Yizhou Yu

  • HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation

    Kun Zhou;Xiaoguang Han;Nianjuan Jiang;Kui Jia

  • Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images.

    Heming Zhu;Yu Cao;Hang Jin;Weikai Chen

  • JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition

    Jinmiao Cai;Nianjuan Jiang;Xiaoguang Han;Kui Jia

  • LapsCore: Language-Guided Person Search via Color Reasoning

    Yushuang Wu;Zizheng Yan;Xiaoguang Han;Guanbin Li

  • Compound Domain Generalization via Meta-Knowledge Encoding

    Unknown

  • MVImgNet: A Large-scale Dataset of Multi-view Images

    Unknown

  • Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts

    Hong-Yu Zhou;Chixiang Lu;Sibei Yang;Xiaoguang Han

  • A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images

    Jiapeng Tang;Xiaoguang Han;Junyi Pan;Kui Jia

  • Peeking into occluded joints: A novel framework for crowd pose estimation

    Lingteng Qiu;Lingteng Qiu;Xuanye Zhang;Yanran Li;Guanbin Li

  • Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos

    Jie Wu;Guanbin Li;Xiaoguang Han;Liang Lin

  • Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples

    Xiaojun Jia;Xingxing Wei;Xiaochun Cao;Xiaoguang Han

  • RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

    Yinyu Nie;Ji Hou;Xiaoguang Han;Matthias Niesner

  • Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation

    Yipeng Qin;Xiaoguang Han;Hongchuan Yu;Yizhou Yu

  • Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus Images

    Zizheng Yan;Xiaoguang Han;Changmiao Wang;Yuda Qiu

Frequent Co-Authors

Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Kui Jia
Kui Jia South China University of Technology
Yizhou Yu
Yizhou Yu University of Hong Kong
Ligang Liu
Ligang Liu University of Science and Technology of China
Jiangbo Lu
Jiangbo Lu SmartMore Corporation
Zixiang Xiong
Zixiang Xiong Texas A&M University
Guanbin Li
Guanbin Li Sun Yat-sen University
Hongbo Fu
Hongbo Fu City University of Hong Kong
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Xin Tong
Xin Tong Microsoft Research Asia (China)

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