World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6862
World Ranking
8862
National Ranking
1143

Shuhui Wang 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 Shuhui Wang 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Shuhui Wang 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 Shuhui Wang 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Shuhui Wang is affiliated with the Chinese Academy of Sciences in China and has made contributions primarily in the field of Computer Science, with a focus on various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Electrical and Electronic Engineering, and Biomedical Engineering.

Their research work covers multiple topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, Video Analysis and Summarization, Advancements in Battery Materials, and Advanced Neural Network Applications.

Frequent co-authors of Shuhui Wang include:

  • Qingming Huang
  • Liang Li
  • Junbao Zhuo
  • Xinzhe Han
  • Qi Tian

Shuhui Wang has published extensively in well-known venues, including:

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

Some recent publications by or involving Shuhui Wang are:

  • "F³Net: Fusion, Feedback and Focus for Salient Object Detection" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Potassium-Doped g-C3N4 Achieving Efficient Visible-Light-Driven CO2 Reduction" (2020), ACS Sustainable Chemistry & Engineering
  • "Hierarchical Modular Network for Video Captioning" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Natural variations of ZmSRO1d modulate the trade-off between drought resistance and yield by affecting ZmRBOHC-mediated stomatal ROS production in maize" (2022), Molecular Plant
  • "Greedy Gradient Ensemble for Robust Visual Question Answering" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

  • F³Net: Fusion, Feedback and Focus for Salient Object Detection

    Jun Wei;Shuhui Wang;Qingming Huang

  • Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations

    Shuhao Cui;Shuhui Wang;Junbao Zhuo;Liang Li

  • Label Decoupling Framework for Salient Object Detection

    Jun Wei;Shuhui Wang;Zhe Wu;Chi Su

  • HYDRA: large-scale social identity linkage via heterogeneous behavior modeling

    Siyuan Liu;Shuhui Wang;Feida Zhu;Jinbo Zhang

  • Gradually Vanishing Bridge for Adversarial Domain Adaptation

    Shuhao Cui;Shuhui Wang;Junbao Zhuo;Chi Su

  • Sharp Multiple Instance Learning for DeepFake Video Detection

    Xiaodan Li;Yining Lang;Yuefeng Chen;Xiaofeng Mao

  • Mining Latent Structures for Multimedia Recommendation

    Jinghao Zhang;Yanqiao Zhu;Qiang Liu;Shu Wu

  • Less Is More: Picking Informative Frames for Video Captioning

    Yangyu Chen;Shuhui Wang;Weigang Zhang;Qingming Huang

  • Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification

    Dechao Meng;Liang Li;Xuejing Liu;Yadong Li

  • Deep Unsupervised Convolutional Domain Adaptation

    Junbao Zhuo;Shuhui Wang;Weigang Zhang;Qingming Huang

  • Learning Fragment Self-Attention Embeddings for Image-Text Matching

    Yiling Wu;Shuhui Wang;Guoli Song;Qingming Huang

  • State-Relabeling Adversarial Active Learning

    Beichen Zhang;Liang Li;Shijie Yang;Shuhui Wang

  • Multi-label classification by exploiting local positive and negative pairwise label correlation

    Jun Huang;Jun Huang;Guorong Li;Shuhui Wang;Zhe Xue

  • F3Net: Fusion, Feedback and Focus for Salient Object Detection

    Jun Wei;Shuhui Wang;Qingming Huang

  • Entity-Enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

    Unknown

  • Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

    Xuejing Liu;Liang Li;Shuhui Wang;Zheng-Jun Zha

  • Hierarchical Modular Network for Video Captioning

    Hanhua Ye;Guorong Li;Yuankai Qi;Shuhui Wang

  • Greedy Gradient Ensemble for Robust Visual Question Answering

    Xinzhe Han;Shuhui Wang;Chi Su;Qingming Huang

  • Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification

    Li Shen;Gang Sun;Qingming Huang;Shuhui Wang

  • Syntax-guided Hierarchical Attention Network for Video Captioning

    Jincan Deng;Liang Li;Beichen Zhang;Shuhui Wang

  • Image classification using spatial pyramid robust sparse coding

    Chunjie Zhang;Shuhui Wang;Qingming Huang;Jing Liu

  • Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval

    Shuhui Wang;Yangyu Chen;Junbao Zhuo;Qingming Huang

  • TODMIS: mining communities from trajectories

    Siyuan Liu;Shuhui Wang;Kasthuri Jayarajah;Archan Misra

Frequent Co-Authors

Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Shuqiang Jiang
Shuqiang Jiang Chinese Academy of Sciences
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Guorong Li
Guorong Li University of Chinese Academy of Sciences
Ramayya Krishnan
Ramayya Krishnan Carnegie Mellon University
Jing Liu
Jing Liu Chinese Academy of Sciences
Li Shen
Li Shen Alibaba Group (China)
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Li Shen
Li Shen University of Pennsylvania

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