Jiaxi Ying
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Bayesian Modeling and Causal Inference 5
- Advanced Graph Neural Networks 4
- Neural Networks and Applications 2
-
- Sparse and Compressive Sensing Techniques 8
- Co-authors
- Xiaobo Qu (6 shared papers)Zhong Chen (6 shared papers)Di Guo (5 shared papers)Jian‐Feng Cai (3 shared papers)Daniel P. Palomar (13 shared papers)Hengfa Lu (3 shared papers)José Vinícius de Miranda Cardoso (9 shared papers)Jihui Wu (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (5 papers)IEEE Wireless Communications Letters (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Digital Signal Processing (1 paper)Chemical Communications (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Jiaxi Ying
22 papers receiving 273 citations
Peers
Comparison fields: 5 of 57
- Computational Mathematics 23
- Computational Mechanics 91
- Radiology, Nuclear Medicine and Imaging 85
- Computer Vision and Pattern Recognition 72
- Nuclear and High Energy Physics 45
Countries citing papers authored by Jiaxi Ying
This map shows the geographic impact of Jiaxi Ying'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 Jiaxi Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaxi Ying more than expected).
Fields of papers citing papers by Jiaxi Ying
This network shows the impact of papers produced by Jiaxi Ying. 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 Jiaxi Ying. The network helps show where Jiaxi Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaxi Ying, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 80 | |
| 2 | 2018 | 49 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 26 | |
| 5 | A Unified Framework for Structured Graph Learning via Spectral Constraints | 2020 | 12 |
| 6 | Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model | 2020 | 10 |
| 7 | 2002 | 9 | |
| 8 | 2018 | 9 | |
| 9 | Graphical Models in Heavy-Tailed Markets | 2021 | 8 |
| 10 | 2019 | 8 | |
| 11 | 2022 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2021 | 3 | |
| 14 | Minimax Estimation of Laplacian Constrained Precision Matrices | 2021 | 3 |
| 15 | 2025 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 2021 | 1 |
About Jiaxi Ying
Jiaxi Ying is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Networks and Communications, Computational Mathematics and Signal Processing, having authored 27 papers that have together received 277 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Bayesian Modeling and Causal Inference (5 papers), Advanced Graph Neural Networks (4 papers), Tensor decomposition and applications (4 papers), Advanced MRI Techniques and Applications (3 papers), Blind Source Separation Techniques (3 papers), Advanced Database Systems and Queries (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computational Mathematics (23 citations), Computational Mechanics (91 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Computer Vision and Pattern Recognition (72 citations) and Nuclear and High Energy Physics (45 citations). Jiaxi Ying has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Xiaobo Qu, Zhong Chen, Di Guo, Jian‐Feng Cai, Daniel P. Palomar, Hengfa Lu, José Vinícius de Miranda Cardoso, Jihui Wu, Gongguo Tang and Sandeep Kumar. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Wireless Communications Letters, IEEE Transactions on Biomedical Engineering, Digital Signal Processing and Chemical Communications.
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.