Shaowu Li
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 24
- Advanced Neuroimaging Techniques and Applications 16
- Advanced MRI Techniques and Applications 14
- MRI in cancer diagnosis 12
- Genetics 38
- Glioma Diagnosis and Treatment 37
- Co-authors
- Tao Jiang (31 shared papers)Xing Fan (23 shared papers)Yinyan Wang (28 shared papers)Yiming Li (13 shared papers)Kaibin Xu (9 shared papers)Zenghui Qian (7 shared papers)Xing Liu (18 shared papers)Kai Wang (7 shared papers)
- Journals
- Journal of Neuro-Oncology (6 papers)Applied Ocean Research (6 papers)European Radiology (5 papers)Neuroradiology (5 papers)Journal of Coastal Research (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shaowu Li
131 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 132
- Genetics 763
- Radiology, Nuclear Medicine and Imaging 914
- Earth-Surface Processes 237
- Health Informatics 29
- Neurology 165
Countries citing papers authored by Shaowu Li
This map shows the geographic impact of Shaowu 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 Shaowu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaowu Li more than expected).
Fields of papers citing papers by Shaowu Li
This network shows the impact of papers produced by Shaowu 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 Shaowu Li. The network helps show where Shaowu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaowu 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 153 | |
| 2 | 2019 | 146 | |
| 3 | 2017 | 109 | |
| 4 | 2018 | 86 | |
| 5 | 2017 | 82 | |
| 6 | 2017 | 62 | |
| 7 | 2021 | 58 | |
| 8 | 2018 | 56 | |
| 9 | 2017 | 51 | |
| 10 | 2017 | 47 | |
| 11 | 2019 | 45 | |
| 12 | 2016 | 43 | |
| 13 | 2017 | 42 | |
| 14 | 2019 | 41 | |
| 15 | 2013 | 35 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 31 | |
| 18 | 2016 | 28 | |
| 19 | 2019 | 27 | |
| 20 | 2019 | 27 |
About Shaowu Li
Shaowu Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Earth-Surface Processes, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 136 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (37 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Coastal and Marine Dynamics (23 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Fluid Dynamics Simulations and Interactions (15 papers), Advanced MRI Techniques and Applications (14 papers), MRI in cancer diagnosis (12 papers) and Tropical and Extratropical Cyclones Research (11 papers). The work is most often cited by research in Genetics (763 citations), Radiology, Nuclear Medicine and Imaging (914 citations), Earth-Surface Processes (237 citations), Health Informatics (29 citations) and Neurology (165 citations). Shaowu Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tao Jiang, Xing Fan, Yinyan Wang, Yiming Li, Kaibin Xu, Zenghui Qian, Xing Liu, Kai Wang, Ye Liu and Zhiyan Sun. Their work appears in journals such as Journal of Neuro-Oncology, Applied Ocean Research, European Radiology, Neuroradiology and Journal of Coastal Research.
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.