Shuai Yi
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 5%
- Media Technology top 1%
- Computational Mechanics top 5%
- Topics
- Video Surveillance and Tracking Methods (16 papers)Advanced Neural Network Applications (12 papers)Human Pose and Action Recognition (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
In The Last Decade
Shuai Yi
44 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 592
- Biomedical Engineering 504
- Media Technology 294
- Computational Mechanics 253
Countries citing papers authored by Shuai Yi
This map shows the geographic impact of Shuai Yi'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 Shuai Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Yi more than expected).
Fields of papers citing papers by Shuai Yi
This network shows the impact of papers produced by Shuai Yi. 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 Shuai Yi. The network helps show where Shuai Yi may publish in the future.
Co-authorship network of co-authors of Shuai Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Yi. A scholar is included among the top collaborators of Shuai Yi 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 Shuai Yi. Shuai Yi 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 | 0 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 19 | |
| 8 | 142 | |
| 9 | 8 | |
| 10 | Balanced Meta-Softmax for Long-Tailed Visual Recognition | 5 |
| 11 | 69 | |
| 12 | 7 | |
| 13 | 101 | |
| 14 | Factorized Attention: Self-Attention with Linear Complexities. | 5 |
| 15 | FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction | 23 |
| 16 | Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusionbreakdown → | 615 |
| 17 | 263 | |
| 18 | 52 | |
| 19 | 11 | |
| 20 | 15 |
About Shuai Yi
Shuai Yi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Advanced Neural Network Applications (12 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Media Technology (294 citations) and Computer Graphics and Computer-Aided Design (102 citations). Shuai Yi has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xiaogang Wang, Hongsheng Li, Haiyu Zhao, Junjie Yan, Maoqing Tian, Jing Shao, Shuyang Sun, Tong Xiao, Xiaoou Tang and Yantao Shen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.