Yao Sun
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing
- Computational Mechanics
- Neurology
- Co-authors
- Si LiuZhen WeiShuicheng YanXiangbo ShuWei WangHanjiang LaiJinqiao WangHefei Ling
- Topics
- Multimodal Machine Learning Applications (5 papers)Face recognition and analysis (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
In The Last Decade
Yao Sun
17 papers receiving 255 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 231
- Artificial Intelligence 52
- Signal Processing 21
- Computational Mechanics 13
- Neurology 12
Countries citing papers authored by Yao Sun
This map shows the geographic impact of Yao Sun'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 Yao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Sun more than expected).
Fields of papers citing papers by Yao Sun
This network shows the impact of papers produced by Yao Sun. 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 Yao Sun. The network helps show where Yao Sun may publish in the future.
Co-authorship network of co-authors of Yao Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Yao Sun. A scholar is included among the top collaborators of Yao Sun 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 Yao Sun. Yao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | 20 | |
| 9 | 45 | |
| 10 | 84 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | Crowd Evacuation Knowledge Management Based on Rough Set Theory | 1 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | Automatic recognition of the multi-digital signals modulation based on the neural network | 5 |
About Yao Sun
Yao Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 17 papers that have together received 261 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Signal Processing (21 citations) and Computer Graphics and Computer-Aided Design (6 citations). Yao Sun has collaborated with scholars based in China, Singapore and Italy. Frequent co-authors include Si Liu, Zhen Wei, Shuicheng Yan, Xiangbo Shu, Wei Wang, Hanjiang Lai, Jinqiao Wang, Hefei Ling, Lejian Ren and Yanlong Zhai. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.