Xueyin Lin
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Artificial Intelligence
- Signal Processing
- Human-Computer Interaction top 10%
- Topics
- Advanced Vision and Imaging (10 papers)Face recognition and analysis (5 papers)Human Pose and Action Recognition (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaUnited States
In The Last Decade
Xueyin Lin
24 papers receiving 417 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 367
- Media Technology 65
- Artificial Intelligence 60
- Signal Processing 38
- Human-Computer Interaction 33
Countries citing papers authored by Xueyin Lin
This map shows the geographic impact of Xueyin Lin'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 Xueyin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueyin Lin more than expected).
Fields of papers citing papers by Xueyin Lin
This network shows the impact of papers produced by Xueyin Lin. 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 Xueyin Lin. The network helps show where Xueyin Lin may publish in the future.
Co-authorship network of co-authors of Xueyin Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Xueyin Lin. A scholar is included among the top collaborators of Xueyin Lin 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 Xueyin Lin. Xueyin Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 4 | |
| 3 | 37 | |
| 4 | 10 | |
| 5 | Learning a family of intrinsic cluster numbers | 1 |
| 6 | Facial expression synthesis and recognition using a kernel-based factorization model | 0 |
| 7 | 17 | |
| 8 | 18 | |
| 9 | 46 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 28 | |
| 13 | 0 | |
| 14 | 20 | |
| 15 | 60 | |
| 16 | Operational gesture segmentation and recognition | 1 |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | Real Time Algorithms for Obstacle Avoidance by Using Reprojection Transformation. | 5 |
About Xueyin Lin
Xueyin Lin is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 26 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Face recognition and analysis (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Computational Mathematics (8 citations) and Media Technology (65 citations). Xueyin Lin has collaborated with scholars based in China and United States. Frequent co-authors include Yangzhou Du, Guangyou Xu, Zhigang Zhu, Qiong Yang, Xiaoou Tang, Yang Li, Xin Zheng, Xiaofei He, Deng Cai and Wei‐Ying Ma. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.