Xingyu Xie
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mathematics top 1%
- Topics
- Face and Expression Recognition (6 papers)Sparse and Compressive Sensing Techniques (5 papers)3D Shape Modeling and Analysis (5 papers)
- Cited by
- Computational MathematicsComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- Journal of the American Statistical AssociationJournal of Applied PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xingyu Xie
36 papers receiving 669 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 349
- Computational Mechanics 255
- Artificial Intelligence 160
- Computer Graphics and Computer-Aided Design 102
- Computational Mathematics 90
Countries citing papers authored by Xingyu Xie
This map shows the geographic impact of Xingyu Xie'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 Xingyu Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Xie more than expected).
Fields of papers citing papers by Xingyu Xie
This network shows the impact of papers produced by Xingyu Xie. 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 Xingyu Xie. The network helps show where Xingyu Xie may publish in the future.
Co-authorship network of co-authors of Xingyu Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Xie. A scholar is included among the top collaborators of Xingyu Xie 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 Xingyu Xie. Xingyu Xie 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Modelsbreakdown → | 57 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 85 | |
| 14 | 57 | |
| 15 | 11 | |
| 16 | 56 | |
| 17 | 72 | |
| 18 | 7 | |
| 19 | 12 | |
| 20 | 7 |
About Xingyu Xie
Xingyu Xie is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 684 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computational Mathematics (90 citations), Computer Graphics and Computer-Aided Design (102 citations) and Computer Vision and Pattern Recognition (349 citations). Xingyu Xie has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhouchen Lin, Jun Wang, Mingqiang Wei, Shuicheng Yan, Guangcan Liu, Pan Zhou, Jianlong Wu, Liqiang Nie, Hongbin Zha and Huan Li. Their work appears in journals such as Journal of the American Statistical Association, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.