Xi Yin
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Plant Science top 10%
- Ecology top 10%
- Co-authors
- Xiaoming LiuLuan TranYu XiangKihyuk SohnManmohan ChandrakerGarrick BrazilDavid KramerJin Chen
- Topics
- Face recognition and analysis (7 papers)Face and Expression Recognition (7 papers)Biometric Identification and Security (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Journal of Biomedical and Health InformaticsMachine Vision and Applications
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xi Yin
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 422
- Signal Processing 336
- Plant Science 282
- Ecology 168
Countries citing papers authored by Xi Yin
This map shows the geographic impact of Xi Yin'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 Xi Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Yin more than expected).
Fields of papers citing papers by Xi Yin
This network shows the impact of papers produced by Xi Yin. 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 Xi Yin. The network helps show where Xi Yin may publish in the future.
Co-authorship network of co-authors of Xi Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Xi Yin. A scholar is included among the top collaborators of Xi Yin 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 Xi Yin. Xi Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 24 | |
| 3 | 35 | |
| 4 | VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training. | 27 |
| 5 | 200 | |
| 6 | 107 | |
| 7 | 195 | |
| 8 | Multi-Task Convolutional Neural Network for Face Recognition. | 7 |
| 9 | Disentangled Representation Learning GAN for Pose-Invariant Face Recognitionbreakdown → | 611 |
| 10 | 215 | |
| 11 | 35 | |
| 12 | Network transmission of hidden data using smartphones based on compromising emanations | 1 |
| 13 | 3 | |
| 14 | 195 | |
| 15 | 5 | |
| 16 | 43 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 24 | |
| 20 | 2 |
About Xi Yin
Xi Yin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Face recognition and analysis (7 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (336 citations) and Artificial Intelligence (422 citations). Xi Yin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaoming Liu, Luan Tran, Yu Xiang, Kihyuk Sohn, Manmohan Chandraker, Garrick Brazil, David Kramer, Jin Chen, Amin Jourabloo and Imanol Luengo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Biomedical and Health Informatics and Machine Vision and Applications.
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.