Xiyang Luo
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing
- Media Technology top 10%
- Computer Graphics and Computer-Aided Design top 10%
- Co-authors
- Peyman MilanfarFeng YangHuiwen ChangRuohan ZhanAndrea L. BertozziAndrew M. StuartKonstantinos C. ZygalakisCe Liu
- Topics
- Advanced Steganography and Watermarking Techniques (4 papers)Image and Signal Denoising Methods (3 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Image ProcessingJournal of Proteome ResearchIEEE Transactions on Instrumentation and Measurement
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiyang Luo
17 papers receiving 301 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 228
- Artificial Intelligence 51
- Signal Processing 29
- Media Technology 27
- Computer Graphics and Computer-Aided Design 21
Countries citing papers authored by Xiyang Luo
This map shows the geographic impact of Xiyang Luo'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 Xiyang Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiyang Luo more than expected).
Fields of papers citing papers by Xiyang Luo
This network shows the impact of papers produced by Xiyang Luo. 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 Xiyang Luo. The network helps show where Xiyang Luo may publish in the future.
Co-authorship network of co-authors of Xiyang Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Xiyang Luo. A scholar is included among the top collaborators of Xiyang Luo 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 Xiyang Luo. Xiyang Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 27 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 128 | |
| 13 | 6 | |
| 14 | Deep Neural Nets with Interpolating Function as Output Activation | 4 |
| 15 | 33 | |
| 16 | 14 | |
| 17 | Convergence Analysis of the Graph Allen-Cahn Scheme | 1 |
| 18 | 3 |
About Xiyang Luo
Xiyang Luo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Numerical Analysis, having authored 18 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Computer Graphics and Computer-Aided Design (21 citations) and Media Technology (27 citations). Xiyang Luo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Peyman Milanfar, Feng Yang, Huiwen Chang, Ruohan Zhan, Andrea L. Bertozzi, Andrew M. Stuart, Konstantinos C. Zygalakis, Ce Liu, Hossein Talebi and Feng Yang. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Proteome Research and IEEE Transactions on Instrumentation and Measurement.
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.