Ming Yan
Impact in
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
-
- Sparse and Compressive Sensing Techniques 29
-
- Advanced X-ray and CT Imaging 12
- Microwave Imaging and Scattering Analysis 8
- Co-authors
- Yifei Lou (3 shared papers)Stanley Osher (3 shared papers)Yi Yang (2 shared papers)Wei Shi (1 shared paper)Zhi Li (1 shared paper)Wotao Yin (3 shared papers)Tieyong Zeng (3 shared papers)Zhimin Peng (2 shared papers)
- Journals
- Journal of Scientific Computing (8 papers)IEEE Transactions on Signal Processing (5 papers)Journal of Computational Physics (3 papers)Inverse Problems and Imaging (2 papers)Computerized Medical Imaging and Graphics (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ming Yan
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Computational Mechanics 571
- Numerical Analysis 106
- Computer Vision and Pattern Recognition 301
- Computer Networks and Communications 232
- Computational Mathematics 6
Countries citing papers authored by Ming Yan
This map shows the geographic impact of Ming Yan'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 Ming Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).
Fields of papers citing papers by Ming Yan
This network shows the impact of papers produced by Ming Yan. 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 Ming Yan. The network helps show where Ming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yan, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2017 | 124 | |
| 3 | 2012 | 120 | |
| 4 | 2018 | 79 | |
| 5 | 2019 | 64 | |
| 6 | 2019 | 59 | |
| 7 | 2007 | 48 | |
| 8 | 2013 | 47 | |
| 9 | 2020 | 43 | |
| 10 | 2016 | 41 | |
| 11 | 2016 | 29 | |
| 12 | 2021 | 28 | |
| 13 | 2016 | 24 | |
| 14 | 2020 | 21 | |
| 15 | 2011 | 21 | |
| 16 | 1988 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2017 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2012 | 18 |
About Ming Yan
Ming Yan is a scholar working on Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (29 papers), Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (12 papers), Distributed Control Multi-Agent Systems (10 papers), Image and Signal Denoising Methods (10 papers), Microwave Imaging and Scattering Analysis (8 papers), Radiation Dose and Imaging (7 papers) and Advanced Fiber Optic Sensors (7 papers). The work is most often cited by research in Computational Mechanics (571 citations), Numerical Analysis (106 citations), Computer Vision and Pattern Recognition (301 citations), Computer Networks and Communications (232 citations) and Computational Mathematics (6 citations). Ming Yan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yifei Lou, Stanley Osher, Yi Yang, Wei Shi, Zhi Li, Wotao Yin, Tieyong Zeng, Zhimin Peng, Jun Liu and Luminita A. Vese. Their work appears in journals such as Journal of Scientific Computing, IEEE Transactions on Signal Processing, Journal of Computational Physics, Inverse Problems and Imaging and Computerized Medical Imaging and Graphics.
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.