World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
31647
World Ranking
768
National Ranking
117

Yongdong Zhang 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 Yongdong Zhang 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: 495 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Yongdong Zhang 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 Yongdong Zhang 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: 86 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Yongdong Zhang is affiliated with the University of Science and Technology of China. Their research primarily spans the field of computer science, with 554 publications that cover a range of subfields and topics related to computational methods and applications.

The scientist's research contributions are notably concentrated in the following subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Information Systems
  • Materials Chemistry
  • Atmospheric Science

Key topics addressed in their body of work include:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Topic Modeling
  • Handwritten Text Recognition Techniques

Yongdong Zhang has also collaborated frequently with a group of coauthors, including:

  • Hongtao Xie
  • Zhendong Mao
  • Tianzhu Zhang
  • An-An Liu
  • Shancheng Fang

The scientist has published extensively in a variety of venues, with the most frequent being:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Representative recent papers authored by Yongdong Zhang include:

  • "CGNet: A Light-Weight Context Guided Network for Semantic Segmentation", 2020, IEEE Transactions on Image Processing
  • "LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation", 2020, arXiv (Cornell University)
  • "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Depth Image Denoising Using Nuclear Norm and Learning Graph Model", 2020, ACM Transactions on Multimedia Computing Communications and Applications
  • "3D Room Layout Estimation From a Single RGB Image", 2020, IEEE Transactions on Multimedia

Best Publications

  • LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

    Xiangnan He;Kuan Deng;Xiang Wang;Yan Li

  • Deep Learning for Content-Based Image Retrieval: A Comprehensive Study

    Ji Wan;Dayong Wang;Steven Chu Hong Hoi;Pengcheng Wu

  • A density-based method for adaptive LDA model selection

    Juan Cao;Tian Xia;Jintao Li;Yongdong Zhang

  • CGNet: A Light-Weight Context Guided Network for Semantic Segmentation

    Tianyi Wu;Sheng Tang;Rui Zhang;Juan Cao

  • Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs

    Zhiwei Jin;Juan Cao;Han Guo;Yongdong Zhang

  • Drug–target interaction prediction: databases, web servers and computational models

    Xing Chen;Chenggang Clarence Yan;Xiaotian Zhang;Xu Zhang

  • Multiview Spectral Embedding

    Tian Xia;Dacheng Tao;Tao Mei;Yongdong Zhang

  • Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

    Unknown

  • Novel Visual and Statistical Image Features for Microblogs News Verification

    Zhiwei Jin;Juan Cao;Yongdong Zhang;Jianshe Zhou

  • Automated pulmonary nodule detection in CT images using deep convolutional neural networks

    Hongtao Xie;Dongbao Yang;Dongbao Yang;Dongbao Yang;Nannan Sun;Zhineng Chen

  • News verification by exploiting conflicting social viewpoints in microblogs

    Zhiwei Jin;Juan Cao;Yongdong Zhang;Jiebo Luo

  • Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer

    Yulin Li;Jianfeng He;Tianzhu Zhang;Xiang Liu

  • Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors

    Chenggang Clarence Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • Multi-Modality Cross Attention Network for Image and Sentence Matching

    Xi Wei;Tianzhu Zhang;Yan Li;Yongdong Zhang

  • Causal Intervention for Leveraging Popularity Bias in Recommendation

    Yang Zhang;Fuli Feng;Xiangnan He;Tianxin Wei

  • WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu Hong You

  • STAT: Spatial-Temporal Attention Mechanism for Video Captioning

    Chenggang Yan;Yunbin Tu;Xingzheng Wang;Yongbing Zhang

  • Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

    Zhanqiu Zhang;Jianyu Cai;Yongdong Zhang;Jie Wang

  • A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

    Chenggang Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • Fast mode decision algorithm for intra prediction in HEVC

    Liang Zhao;Li Zhang;Siwei Ma;Debin Zhao

  • DR2-Net: Deep Residual Reconstruction Network for image compressive sensing

    Hantao Yao;Feng Dai;Shiliang Zhang;Yongdong Zhang

  • Deep Representation Learning with Part Loss for Person Re-Identification

    Hantao Yao;Shiliang Zhang;Yongdong Zhang;Jintao Li

  • Deep Representation Learning With Part Loss for Person Re-Identification

    Hantao Yao;Shiliang Zhang;Richang Hong;Yongdong Zhang

  • CGNet: A Light-weight Context Guided Network for Semantic Segmentation

    Tianyi Wu;Sheng Tang;Rui Zhang;Yongdong Zhang

Frequent Co-Authors

Jintao Li
Jintao Li Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Tao Mei
Tao Mei Jingdong (China)
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Anan Liu
Anan Liu Tianjin University
Qionghai Dai
Qionghai Dai Tsinghua University
Xiangnan He
Xiangnan He University of Science and Technology of China
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Tianzhu Zhang
Tianzhu Zhang University of Science and Technology of China
Feng Wu
Feng Wu University of Science and Technology of China

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