Shoou-I Yu
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Computational Mechanics
- Information Systems top 10%
- Co-authors
- Lu JiangAlexander G. HauptmannZhenzhong LanDeyu MengYi YangShiguang ShanTeruko MitamuraJianbo Shi
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Video Analysis and Summarization (12 papers)Human Pose and Action Recognition (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsACM Transactions on Graphics
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Shoou-I Yu
29 papers receiving 854 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 691
- Artificial Intelligence 316
- Signal Processing 75
- Computational Mechanics 62
- Information Systems 56
Countries citing papers authored by Shoou-I Yu
This map shows the geographic impact of Shoou-I Yu'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 Shoou-I Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoou-I Yu more than expected).
Fields of papers citing papers by Shoou-I Yu
This network shows the impact of papers produced by Shoou-I Yu. 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 Shoou-I Yu. The network helps show where Shoou-I Yu may publish in the future.
Co-authorship network of co-authors of Shoou-I Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Shoou-I Yu. A scholar is included among the top collaborators of Shoou-I Yu 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 Shoou-I Yu. Shoou-I Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 35 | |
| 3 | 10 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 25 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 38 | |
| 13 | 10 | |
| 14 | Self-Paced Learning with Diversity | 208 |
| 15 | CMU-informedia @ TRECViD 2014 semantic indexing | 2 |
| 16 | Discriminative multi-task feature selection | 11 |
| 17 | 84 | |
| 18 | Informedia@TRECVID 2011: Surveillance Event Detection. | 4 |
| 19 | A content-based method to enhance tag recommendation | 38 |
| 20 | 52 |
About Shoou-I Yu
Shoou-I Yu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 31 papers that have together received 891 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Video Analysis and Summarization (12 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (691 citations), Artificial Intelligence (316 citations) and Computer Graphics and Computer-Aided Design (27 citations). Shoou-I Yu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Lu Jiang, Alexander G. Hauptmann, Zhenzhong Lan, Deyu Meng, Yi Yang, Shiguang Shan, Alexander G. Hauptmann, Teruko Mitamura, Jianbo Shi and Wei Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports 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.