Mou Li
Impact in
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Neurology 10
- Intracerebral and Subarachnoid Hemorrhage Research 9
-
- Magnetic Bearings and Levitation Dynamics 4
- Co-authors
- Bin Song (19 shared papers)Yao Zhang (6 shared papers)Jun Zheng (12 shared papers)Zhiyuan Yu (12 shared papers)Yali Qu (3 shared papers)Xiaoze Wang (9 shared papers)Yongchang Zhang (7 shared papers)Hao Li (9 shared papers)
- Journals
- European Journal of Radiology (7 papers)World Neurosurgery (5 papers)World Journal of Gastroenterology (5 papers)Clinical Neurology and Neurosurgery (3 papers)Journal of Sound and Vibration (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mou Li
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Neurology 190
- Radiology, Nuclear Medicine and Imaging 213
- Hepatology 55
- Oncology 154
- Control and Systems Engineering 132
Countries citing papers authored by Mou Li
This map shows the geographic impact of Mou 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 Mou Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mou Li more than expected).
Fields of papers citing papers by Mou Li
This network shows the impact of papers produced by Mou 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 Mou Li. The network helps show where Mou Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mou 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 71 | |
| 2 | 2019 | 63 | |
| 3 | 2020 | 52 | |
| 4 | 2018 | 51 | |
| 5 | 2017 | 47 | |
| 6 | 2017 | 46 | |
| 7 | 2021 | 44 | |
| 8 | 2018 | 41 | |
| 9 | 2017 | 41 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 37 | |
| 12 | 2017 | 36 | |
| 13 | 2016 | 33 | |
| 14 | 2017 | 30 | |
| 15 | 2020 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2014 | 28 | |
| 18 | 2017 | 28 | |
| 19 | 2021 | 26 | |
| 20 | 2003 | 23 |
About Mou Li
Mou Li is a scholar working on Neurology, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Maternal and fetal healthcare (5 papers), Image Processing and 3D Reconstruction (4 papers), Magnetic Bearings and Levitation Dynamics (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Space Satellite Systems and Control (3 papers) and Colorectal Cancer Surgical Treatments (3 papers). The work is most often cited by research in Neurology (190 citations), Radiology, Nuclear Medicine and Imaging (213 citations), Hepatology (55 citations), Oncology (154 citations) and Control and Systems Engineering (132 citations). Mou Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Song, Yao Zhang, Jun Zheng, Zhiyuan Yu, Yali Qu, Xiaoze Wang, Yongchang Zhang, Hao Li, Zixing Huang and Quan Hu. Their work appears in journals such as European Journal of Radiology, World Neurosurgery, World Journal of Gastroenterology, Clinical Neurology and Neurosurgery and Journal of Sound and Vibration.
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.