Si Li
Impact in
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- Medical Imaging Techniques and Applications
- Monoclonal and Polyclonal Antibodies Research
- Advanced MRI Techniques and Applications
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- Image and Signal Denoising Methods
Papers in
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- Medical Imaging Techniques and Applications 22
- COVID-19 diagnosis using AI 1
- Monoclonal and Polyclonal Antibodies Research 1
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- Image and Signal Denoising Methods 11
- Co-authors
- Yuesheng Xu (13 shared papers)Andrzej Król (12 shared papers)Lixin Shen (4 shared papers)Christine Toumoulin (1 shared paper)Yining Hu (1 shared paper)Yang Chen (1 shared paper)Charles Ross Schmidtlein (10 shared papers)Qing Cao (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (4 papers)Medical Physics (3 papers)Inverse Problems (3 papers)Mathematical Biosciences & Engineering (2 papers)Applied Mathematics Letters (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Si Li
27 papers receiving 274 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 173
- Computer Vision and Pattern Recognition 95
- Mathematical Physics 34
- Health Informatics 4
- Computational Theory and Mathematics 22
Countries citing papers authored by Si Li
This map shows the geographic impact of Si Li'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 Si Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Li more than expected).
Fields of papers citing papers by Si Li
This network shows the impact of papers produced by Si Li. 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 Si Li. The network helps show where Si Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Li, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2014 | 49 | |
| 3 | 2020 | 17 | |
| 4 | 2024 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Si Li
Si Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Mathematical Physics, Computational Theory and Mathematics and Computational Mechanics, having authored 31 papers that have together received 278 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (22 papers), Image and Signal Denoising Methods (11 papers), Numerical methods in inverse problems (4 papers), Optimization and Variational Analysis (3 papers), Sparse and Compressive Sensing Techniques (2 papers), COVID-19 diagnosis using AI (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (173 citations), Computer Vision and Pattern Recognition (95 citations), Mathematical Physics (34 citations), Health Informatics (4 citations) and Computational Theory and Mathematics (22 citations). Si Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuesheng Xu, Andrzej Król, Lixin Shen, Christine Toumoulin, Yining Hu, Yang Chen, Charles Ross Schmidtlein, Qing Cao, Limin Luo and Ying Jiang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics, Inverse Problems, Mathematical Biosciences & Engineering and Applied Mathematics Letters.
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.