Yuanyuan Li
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 27
- Neuroinflammation and Neurodegeneration Mechanisms 16
- Neurological disorders and treatments 11
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Biological Psychiatry top 5%
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 27
- Neuroinflammation and Neurodegeneration Mechanisms 16
- Neurological disorders and treatments 11
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Developmental Neuroscience top 5%
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- Alzheimer's disease research and treatments 14
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- Functional Brain Connectivity Studies 10
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- Nerve injury and regeneration 8
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- Advanced Neuroimaging Techniques and Applications 7
- Cited by
- NeurologyBiological Psychiatry
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yuanyuan Li
200 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Neurology 665
- Biological Psychiatry 82
- Neurology 484
- Developmental Neuroscience 100
- Computer Vision and Pattern Recognition 437
Countries citing papers authored by Yuanyuan Li
This map shows the geographic impact of Yuanyuan 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 Yuanyuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyuan Li more than expected).
Fields of papers citing papers by Yuanyuan Li
This network shows the impact of papers produced by Yuanyuan 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 Yuanyuan Li. The network helps show where Yuanyuan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuanyuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 0 | |
| 11 | Sparse Dynamic Volume TransUNet with multi-level edge fusion for brain tumor segmentationbreakdown → | 2024 | 98 |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 67 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 32 |
About Yuanyuan Li
Yuanyuan Li is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 221 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (27 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Alzheimer's disease research and treatments (14 papers), Neurological disorders and treatments (11 papers), Functional Brain Connectivity Studies (10 papers), Nerve injury and regeneration (8 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Neurology (665 citations), Biological Psychiatry (82 citations) and Neurology (484 citations). Yuanyuan Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhiqin Zhu, Guanqiu Qi, Baisen Cong, Yü Liu, Gang Pei, Qing Cai, Aonan Zhao, Wenyan Kang, Jun Liu and Akira Nakagawara.
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.