Xiaojing Ye
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
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- Medical Imaging Techniques and Applications 16
- Advanced MRI Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 4
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- Sparse and Compressive Sensing Techniques 14
- Co-authors
- Yunmei Chen (21 shared papers)Haomin Zhou (9 shared papers)Gang Bao (1 shared paper)Yaohua Zang (1 shared paper)Feng Huang (5 shared papers)Junwei Huang (1 shared paper)Feng Huang (2 shared papers)William W. Hager (3 shared papers)
- Journals
- Journal of Computational Physics (3 papers)SIAM Journal on Imaging Sciences (3 papers)Inverse Problems and Imaging (2 papers)Computational Optimization and Applications (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Xiaojing Ye
50 papers receiving 966 citations
Xiaojing Ye's Hit Papers
Peers
Comparison fields: 5 of 86
- Statistical and Nonlinear Physics 235
- Computational Mechanics 350
- Computational Mathematics 9
- Radiology, Nuclear Medicine and Imaging 267
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Xiaojing Ye
This map shows the geographic impact of Xiaojing Ye'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 Xiaojing Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Ye more than expected).
Fields of papers citing papers by Xiaojing Ye
This network shows the impact of papers produced by Xiaojing Ye. 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 Xiaojing Ye. The network helps show where Xiaojing Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing Ye, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Weak adversarial networks for high-dimensional partial differential equations Hit paper breakdown → | 2020 | 240 |
| 2 | 2011 | 66 | |
| 3 | 2010 | 65 | |
| 4 | 2010 | 58 | |
| 5 | 2012 | 47 | |
| 6 | 2012 | 44 | |
| 7 | 2010 | 42 | |
| 8 | 2019 | 37 | |
| 9 | 2010 | 35 | |
| 10 | 2011 | 31 | |
| 11 | 2014 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2022 | 25 | |
| 14 | 2017 | 20 | |
| 15 | 2013 | 19 | |
| 16 | 2015 | 18 | |
| 17 | Wasserstein Learning of Deep Generative Point Process Models | 2017 | 16 |
| 18 | Fake News Mitigation via Point Process Based Intervention | 2017 | 15 |
| 19 | 2021 | 15 | |
| 20 | 2015 | 15 |
About Xiaojing Ye
Xiaojing Ye is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Sparse and Compressive Sensing Techniques (14 papers), Advanced MRI Techniques and Applications (11 papers), Medical Image Segmentation Techniques (7 papers), Distributed Control Multi-Agent Systems (6 papers), Model Reduction and Neural Networks (6 papers), Advanced X-ray and CT Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (235 citations), Computational Mechanics (350 citations), Computational Mathematics (9 citations), Radiology, Nuclear Medicine and Imaging (267 citations) and Computer Vision and Pattern Recognition (181 citations). Xiaojing Ye has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Yunmei Chen, Haomin Zhou, Gang Bao, Yaohua Zang, Feng Huang, Junwei Huang, Feng Huang, William W. Hager, Wen‐Zhan Song and Liang Zhao. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Imaging Sciences, Inverse Problems and Imaging, Computational Optimization and Applications and IEEE Transactions on Medical Imaging.
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.