Yude Wang

13 total papers · 892 total citations
5 papers, 531 citations indexed

About

Yude Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yude Wang has authored 5 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Yude Wang's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Sulfur Compounds in Biology (1 paper). Yude Wang is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Sulfur Compounds in Biology (1 paper). Yude Wang collaborates with scholars based in China and South Korea. Yude Wang's co-authors include Shiguang Shan, Meina Kan, Xilin Chen, Jie Zhang, Jie Zhang, Na He, Liangwei Zhang, Yan Huang, Qi Kang and Lingxin Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Yude Wang

5 papers receiving 526 citations

Hit Papers

Self-Supervised Equivaria... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
    2020 468 citations Yude Wang, Jie Zhang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yude Wang 377 271 57 55 22 5 531
Miao Sun 271 0.7× 118 0.4× 31 0.5× 23 0.4× 5 0.2× 12 519
Kai-Bo Duan 152 0.4× 185 0.7× 16 0.3× 9 0.2× 25 1.1× 4 511
Maneesha Singh 150 0.4× 95 0.4× 95 1.7× 76 1.4× 26 1.2× 12 494
Sakshi Indolia 119 0.3× 110 0.4× 27 0.5× 59 1.1× 3 0.1× 7 461
Donald H. Foley 232 0.6× 172 0.6× 79 1.4× 29 0.5× 4 0.2× 6 490
Yooju Shin 156 0.4× 366 1.4× 34 0.6× 35 0.6× 2 0.1× 9 585
Weixiang Hong 312 0.8× 215 0.8× 29 0.5× 46 0.8× 5 0.2× 18 452
Pooja Asopa 101 0.3× 114 0.4× 28 0.5× 59 1.1× 3 0.1× 5 454
Fengze Liu 314 0.8× 148 0.5× 44 0.8× 170 3.1× 6 0.3× 10 465
Duo Li 295 0.8× 105 0.4× 123 2.2× 23 0.4× 2 0.1× 11 475

Countries citing papers authored by Yude Wang

Since Specialization
Citations

This map shows the geographic impact of Yude Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yude Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yude Wang more than expected).

Fields of papers citing papers by Yude Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yude Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yude Wang. The network helps show where Yude Wang may publish in the future.

Co-authorship network of co-authors of Yude Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yude Wang. A scholar is included among the top collaborators of Yude Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yude Wang. Yude Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026