Xiaoyang Lyu
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Aerospace Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Industrial and Manufacturing Engineering top 10%
- Topics
- Advanced Vision and Imaging (8 papers)3D Shape Modeling and Analysis (6 papers)Computer Graphics and Visualization Techniques (5 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Robotics and Automation LettersRare & Special e-Zone (The Hong Kong University of Science and Technology)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Xiaoyang Lyu
10 papers receiving 342 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 317
- Media Technology 154
- Aerospace Engineering 71
- Computer Graphics and Computer-Aided Design 40
- Industrial and Manufacturing Engineering 30
Countries citing papers authored by Xiaoyang Lyu
This map shows the geographic impact of Xiaoyang Lyu'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 Xiaoyang Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyang Lyu more than expected).
Fields of papers citing papers by Xiaoyang Lyu
This network shows the impact of papers produced by Xiaoyang Lyu. 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 Xiaoyang Lyu. The network helps show where Xiaoyang Lyu may publish in the future.
Co-authorship network of co-authors of Xiaoyang Lyu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Lyu. A scholar is included among the top collaborators of Xiaoyang Lyu 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 Xiaoyang Lyu. Xiaoyang Lyu 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 | 34 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 173 | |
| 12 | 83 |
About Xiaoyang Lyu
Xiaoyang Lyu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 354 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), 3D Shape Modeling and Analysis (6 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Media Technology (154 citations), Computer Vision and Pattern Recognition (317 citations) and Computer Graphics and Computer-Aided Design (40 citations). Xiaoyang Lyu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yong Liu, Lina Liu, Mengmeng Wang, Xin Kong, Liang Liu, Xinxin Chen, Yi Yuan, Liangjun Zhang, Xibin Song and Xiaojuan Qi. Their work appears in journals such as IEEE Robotics and Automation Letters, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the AAAI Conference on Artificial 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.