Yidong Ouyang

1.3k total citations · 1 hit paper
2 papers, 600 citations indexed

About

Yidong Ouyang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Yidong Ouyang has authored 2 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Yidong Ouyang's work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Yidong Ouyang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Yidong Ouyang collaborates with scholars based in China and United States. Yidong Ouyang's co-authors include Lu Wang, Jindong Wang, Wenjun Zeng, Cuiling Lan, Chang Liu, Philip S. Yu, Tao Qin, Yiqiang Chen, Jiabin Ma and Weiyu Guo and has published in prestigious journals such as Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yidong Ouyang

2 papers receiving 592 citations

Hit Papers

Generalizing to Unseen Domains: A Survey on Domain Genera... 2022 2026 2023 2024 2022 100 200 300 400 500
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Generalizing to Unseen Domains: A Survey on Domain Generalization
    2022 596 citations Jindong Wang, Cuiling Lan et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers

Yidong Ouyang
Tao Qin China
Matthias Humt Germany
Xiangli Yang China
Zixing Song Hong Kong
Jianxiang Feng China
Mahmut Kaya Türkiye
Wouter M. Kouw Netherlands
Dulari Bhatt India
Tao Qin China
Yidong Ouyang
Citations per year, relative to Yidong Ouyang Yidong Ouyang (= 1×) peers Tao Qin

Countries citing papers authored by Yidong Ouyang

Since Specialization
Citations

This map shows the geographic impact of Yidong Ouyang'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 Yidong Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yidong Ouyang more than expected).

Fields of papers citing papers by Yidong Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yidong Ouyang. 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 Yidong Ouyang. The network helps show where Yidong Ouyang may publish in the future.

Co-authorship network of co-authors of Yidong Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Yidong Ouyang. A scholar is included among the top collaborators of Yidong Ouyang 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 Yidong Ouyang. Yidong Ouyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Wang, Jindong, Cuiling Lan, Chang Liu, et al.. (2022). Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Transactions on Knowledge and Data Engineering. 1–1. 596 indexed citations breakdown →
2.
Guo, Weiyu, Jiabin Ma, Yidong Ouyang, Liang Wang, & Yongzhen Huang. (2022). Efficient convolutional networks learning through irregular convolutional kernels. Neurocomputing. 489. 167–178. 4 indexed citations

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