Yu Xiang
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Aerospace Engineering
- Media Technology top 5%
- Co-authors
- Manmohan ChandrakerKihyuk SohnXiaoming LiuXi YinGuobin ChenTony Xiao HanWongun ChoiDimitris Metaxas
- Topics
- Face recognition and analysis (14 papers)Face and Expression Recognition (13 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Journals
- The Journal of Chemical PhysicsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Signal Processing
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yu Xiang
54 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 493
- Signal Processing 337
- Aerospace Engineering 83
- Media Technology 78
Countries citing papers authored by Yu Xiang
This map shows the geographic impact of Yu Xiang'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 Yu Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Xiang more than expected).
Fields of papers citing papers by Yu Xiang
This network shows the impact of papers produced by Yu Xiang. 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 Yu Xiang. The network helps show where Yu Xiang may publish in the future.
Co-authorship network of co-authors of Yu Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xiang. A scholar is included among the top collaborators of Yu Xiang 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 Yu Xiang. Yu Xiang 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 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 103 | |
| 14 | 3 | |
| 15 | Unsupervised Domain Adaptation for Distance Metric Learning | 22 |
| 16 | 215 | |
| 17 | 56 | |
| 18 | 4 | |
| 19 | 3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL | 1 |
| 20 | 5 |
About Yu Xiang
Yu Xiang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (337 citations) and Artificial Intelligence (493 citations). Yu Xiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Manmohan Chandraker, Kihyuk Sohn, Xiaoming Liu, Xi Yin, Guobin Chen, Tony Xiao Han, Wongun Choi, Dimitris Metaxas, Junzhou Huang and Shaoting Zhang. Their work appears in journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Signal 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.