Zhaoxuan Yang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Media Technology top 10%
- Topics
- Video Analysis and Summarization (11 papers)Advanced Image and Video Retrieval Techniques (10 papers)Human Pose and Action Recognition (9 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Zhaoxuan Yang
40 papers receiving 439 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 377
- Artificial Intelligence 157
- Biomedical Engineering 92
- Human-Computer Interaction 58
- Media Technology 41
Countries citing papers authored by Zhaoxuan Yang
This map shows the geographic impact of Zhaoxuan Yang'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 Zhaoxuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoxuan Yang more than expected).
Fields of papers citing papers by Zhaoxuan Yang
This network shows the impact of papers produced by Zhaoxuan Yang. 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 Zhaoxuan Yang. The network helps show where Zhaoxuan Yang may publish in the future.
Co-authorship network of co-authors of Zhaoxuan Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoxuan Yang. A scholar is included among the top collaborators of Zhaoxuan Yang 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 Zhaoxuan Yang. Zhaoxuan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 48 | |
| 3 | 95 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 12 | |
| 7 | TJUT-TJU@TRECVID 2011: Surveillance Event Detection | 1 |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | Smooth-trajectory servo control and implementation for permanent-magnet synchronous motor | 1 |
| 19 | Digital Signal Processing Based Real Time Vehicular Detection System | 4 |
| 20 | Modified Genetic Algorithm for Traveling Salesman Problem | 1 |
About Zhaoxuan Yang
Zhaoxuan Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 42 papers that have together received 458 indexed citations. Recurring topics across this work include Video Analysis and Summarization (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Human-Computer Interaction (58 citations) and Biophysics (34 citations). Zhaoxuan Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include An-An Liu, Yuting Su, Tong Hao, Zan Gao, Weizhi Nie, Li Ma, Ning Xu, Hong Lin, Jiang Wang and Xile Wei. Their work appears in journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Cybernetics.
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.