Xiaoyang Chen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Yinghong CaoJun MouSanto BanerjeeXinyu GaoLi XiongHongwei HuoJeffrey Scott VitterJun Huan
- Topics
- Algorithms and Data Compression (6 papers)Graph Theory and Algorithms (4 papers)Advanced Steganography and Watermarking Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaoyang Chen
31 papers receiving 368 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 212
- Artificial Intelligence 103
- Statistical and Nonlinear Physics 70
- Electrical and Electronic Engineering 64
- Molecular Biology 49
Countries citing papers authored by Xiaoyang Chen
This map shows the geographic impact of Xiaoyang Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyang Chen more than expected).
Fields of papers citing papers by Xiaoyang Chen
This network shows the impact of papers produced by Xiaoyang Chen. 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 Chen. The network helps show where Xiaoyang Chen may publish in the future.
Co-authorship network of co-authors of Xiaoyang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Chen. A scholar is included among the top collaborators of Xiaoyang Chen 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 Chen. Xiaoyang Chen 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 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 21 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | 6 |
About Xiaoyang Chen
Xiaoyang Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 35 papers that have together received 379 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Graph Theory and Algorithms (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Statistical and Nonlinear Physics (70 citations) and Artificial Intelligence (103 citations). Xiaoyang Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yinghong Cao, Jun Mou, Santo Banerjee, Xinyu Gao, Li Xiong, Hongwei Huo, Jeffrey Scott Vitter, Jun Huan, Lan Du and Hadi Jahanshahi. Their work appears in journals such as PLoS ONE, Advanced Energy Materials and IEEE Transactions on Geoscience and Remote Sensing.
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.