World's Best Scientists 2026 revealed!
Xiaohui Shen

Xiaohui Shen

D-Index & Metrics

Computer Science

D-Index
66
Citations
24112
World Ranking
2275
National Ranking
312

Xiaohui Shen 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 Xiaohui Shen 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: 190 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Xiaohui Shen 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 Xiaohui Shen 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Xiaohui Shen is affiliated with ByteDance in China and has contributed extensively to the field of Computer Science, with a focus on Computer Vision and Pattern Recognition. Their research portfolio includes numerous works related to artificial intelligence and advanced imaging techniques.

Key research topics covered by Xiaohui Shen include:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Image Enhancement Techniques
  • Advanced Neural Network Applications

Among recent papers authored or co-authored by Xiaohui Shen are:

  • "EnlightenGAN: Deep Light Enhancement Without Paired Supervision," 2021, IEEE Transactions on Image Processing
  • "Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition," 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Contrastive Masked Autoencoders are Stronger Vision Learners," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The frequent co-authors that appear in Xiaohui Shen's publications include:

  • Qihang Yu
  • Liang-Chieh Chen
  • Ding Liu
  • Yiheng Zhu
  • Xiaojie Jin

Xiaohui Shen has published predominantly in these venues:

  • arXiv (Cornell University)
  • Journal of Pharmaceutical and Biomedical Analysis
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology

The subfields of study covered in Shen's research reflect a broad interdisciplinary approach combining elements of computer vision, artificial intelligence, molecular biology, biomedical engineering, and electrical engineering.

Best Publications

  • Generative Image Inpainting with Contextual Attention

    Jiahui Yu;Zhe Lin;Jimei Yang;Xiaohui Shen

  • EnlightenGAN: Deep Light Enhancement Without Paired Supervision

    Yifan Jiang;Xinyu Gong;Ding Liu;Yu Cheng

  • A convolutional neural network cascade for face detection

    Haoxiang Li;Zhe Lin;Xiaohui Shen;Jonathan Brandt

  • Free-Form Image Inpainting With Gated Convolution

    Jiahui Yu;Zhe Lin;Jimei Yang;Xiaohui Shen

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Sarah Adel Bargal;Zhe Lin;Jonathan Brandt

  • A unified approach to salient object detection via low rank matrix recovery

    Xiaohui Shen;Ying Wu

  • MAttNet: Modular Attention Network for Referring Expression Comprehension

    Licheng Yu;Zhe Lin;Xiaohui Shen;Jimei Yang

  • STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

    Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Xiaohui Shen

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Zhe L. Lin;Jonathan Brandt;Xiaohui Shen

  • Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing

    Ke Gong;Xiaodan Liang;Dongyu Zhang;Xiaohui Shen

  • Towards unified depth and semantic prediction from a single image

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Photo Aesthetics Ranking Network with Attributes and Content Adaptation

    Shu Kong;Xiaohui Shen;Zhe L. Lin;Radomír Mech

  • Minimum Barrier Salient Object Detection at 80 FPS

    Jianming Zhang;Stan Sclaroff;Zhe Lin;Xiaohui Shen

  • Semantic Object Parsing with Graph LSTM

    Xiaodan Liang;Xiaohui Shen;Jiashi Feng;Liang Lin

  • Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark

    Xiaodan Liang;Ke Gong;Xiaohui Shen;Liang Lin

  • Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation

    Xin Lu;Zhe Lin;Xiaohui Shen;Radomir Mech

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • Human Parsing with Contextualized Convolutional Neural Network

    Xiaodan Liang;Chunyan Xu;Xiaohui Shen;Jianchao Yang

  • Deep Human Parsing with Active Template Regression

    Xiaodan Liang;Si Liu;Xiaohui Shen;Jianchao Yang

  • Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition

    Tianlang Chen;Chen Fang;Xiaohui Shen;Yiheng Zhu

  • Proposal-Free Network for Instance-Level Object Segmentation

    Xiaodan Liang;Liang Lin;Yunchao Wei;Xiaohui Shen

Frequent Co-Authors

Zhe Lin
Zhe Lin Adobe Systems (United States)
Radomir Mech
Radomir Mech Adobe Systems (United States)
Jonathan Brandt
Jonathan Brandt Adobe Systems (United States)
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Brian Price
Brian Price Adobe Systems (United States)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Liang Lin
Liang Lin Sun Yat-sen University
Jimei Yang
Jimei Yang Adobe Systems (United States)
Scott Cohen
Scott Cohen Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)

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