World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
38656
World Ranking
1120
National Ranking
159

Wenyu Liu 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 Wenyu Liu 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: 480 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Wenyu Liu 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 Wenyu Liu 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: 79 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Wenyu Liu is affiliated with Huazhong University of Science and Technology in China. Their research focuses primarily on the fields of Computer Science and Engineering, contributing extensively to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, and Mechanical Engineering.

The scientist has produced a substantial body of work covering multiple specialized topics, such as:

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

Wenyu Liu's recent publications include:

  • "Deep High-Resolution Representation Learning for Visual Recognition," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT," 2020, IEEE Transactions on Medical Imaging
  • "CCNet: Criss-Cross Attention for Semantic Segmentation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions," 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors include:

  • Xinggang Wang
  • Tianheng Cheng
  • Jiemin Fang
  • Shaoyu Chen
  • Qian Zhang

The most common venues for Wenyu Liu's publications are:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Image and Vision Computing

Best Publications

  • Deep High-Resolution Representation Learning for Visual Recognition

    Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

  • CCNet: Criss-Cross Attention for Semantic Segmentation

    Zilong Huang;Xinggang Wang;Lichao Huang;Chang Huang

  • ByteTrack: Multi-Object Tracking by Associating Every Detection Box

    Unknown

  • FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

    Yifu Zhang;Chunyu Wang;Xinggang Wang;Wenjun Zeng

  • CCNet: Criss-Cross Attention for Semantic Segmentation

    Zilong Huang;Xinggang Wang;Yunchao Wei;Lichao Huang

  • TextBoxes: a fast text detector with a single deep neural network

    Minghui Liao;Baoguang Shi;Xiang Bai;Xinggang Wang

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • Mining user similarity based on location history

    Quannan Li;Yu Zheng;Xing Xie;Yukun Chen

  • High-Resolution Representations for Labeling Pixels and Regions

    Ke Sun;Yang Zhao;Borui Jiang;Tianheng Cheng

  • Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment

    Lei Rao;Xue Liu;Le Xie;Wenyu Liu

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

    Xinggang Wang;Xianbo Deng;Qing Fu;Qiang Zhou

  • Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution

    Xiang Bai;L.J. Latecki;Wen-Yu Liu

  • Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

    Zilong Huang;Xinggang Wang;Jiasi Wang;Wenyu Liu

  • Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

    Unknown

  • YOLO-World: Real-Time Open-Vocabulary Object Detection

    Unknown

  • Multiple Instance Detection Network with Online Instance Classifier Refinement

    Peng Tang;Xinggang Wang;Xiang Bai;Wenyu Liu

  • Revisiting multiple instance neural networks

    Xinggang Wang;Yongluan Yan;Peng Tang;Xiang Bai

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification

    Cheng Wang;Qian Zhang;Chang Huang;Wenyu Liu

  • PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

    Peng Tang;Xinggang Wang;Song Bai;Wei Shen

  • A unified framework for multioriented text detection and recognition.

    Cong Yao;Xiang Bai;Wenyu Liu

  • Learning Context-Sensitive Shape Similarity by Graph Transduction

    Xiang Bai;Xingwei Yang;L.J. Latecki;Wenyu Liu

  • Strokelets: A Learned Multi-scale Representation for Scene Text Recognition

    Cong Yao;Xiang Bai;Baoguang Shi;Wenyu Liu

Frequent Co-Authors

Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Longin Jan Latecki
Longin Jan Latecki Temple University
Hongbo Jiang
Hongbo Jiang Hunan University
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Cong Yao
Cong Yao Alibaba Group (China)
Xue Liu
Xue Liu McGill University
Zongwei Cai
Zongwei Cai Hong Kong Baptist University
Jingdong Wang
Jingdong Wang Baidu (China)
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University

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