Yushuang Wu
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- Human Pose and Action Recognition 3
- Advanced Vision and Imaging 3
- Multimodal Machine Learning Applications 3
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- Computer Graphics and Visualization Techniques 3
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- 3D Surveying and Cultural Heritage 3
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- 3D Shape Modeling and Analysis 6
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- Domain Adaptation and Few-Shot Learning 3
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- Salmonella and Campylobacter epidemiology 2
Yushuang Wu
23 papers receiving 246 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 145
- Computer Graphics and Computer-Aided Design 21
- Geology 26
- Computational Mechanics 44
- Molecular Medicine 9
Countries citing papers authored by Yushuang Wu
This map shows the geographic impact of Yushuang Wu'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 Yushuang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yushuang Wu more than expected).
Fields of papers citing papers by Yushuang Wu
This network shows the impact of papers produced by Yushuang Wu. 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 Yushuang Wu. The network helps show where Yushuang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yushuang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 43 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 28 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 15 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 61 | |
| 18 | 2021 | 2 | |
| 19 | Procrastination: Exploring the role of coping strategy | 2018 | 0 |
| 20 | An interactive website to aid the academic and social transition of Chinese international students to Pepperdine University | 2017 | 1 |
About Yushuang Wu
Yushuang Wu is a scholar working on Computer Graphics and Computer-Aided Design, Geology, Computer Vision and Pattern Recognition, Molecular Medicine and Endocrinology, having authored 25 papers that have together received 250 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (3 papers), Human Pose and Action Recognition (3 papers), Advanced Vision and Imaging (3 papers), 3D Surveying and Cultural Heritage (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Computer Graphics and Computer-Aided Design (21 citations), Geology (26 citations), Computational Mechanics (44 citations) and Molecular Medicine (9 citations). Yushuang Wu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaoguang Han, Shuguang Cui, Zizheng Yan, Guanbin Li, Changqing Zou, Mutian Xu, Yipeng Qin, Sibei Yang, Hong-Yu Zhou and Chaoqi Chen. Their work appears in journals such as Chemical and Biological Technologies in Agriculture, International Journal of Food Microbiology, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.
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.