Yilong Liu
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- Advanced MRI Techniques and Applications 21
- Advanced Neuroimaging Techniques and Applications 8
- Medical Imaging Techniques and Applications 7
- Neurology top 10%
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- Advanced Neural Network Applications 5
- Medical Image Segmentation Techniques 4
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- Atomic and Subatomic Physics Research 9
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- Sparse and Compressive Sensing Techniques 4
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- Photoreceptor and optogenetics research 4
- Co-authors
- EX WuAlex T. L. LeongYue ZhangXiaoying TangYujiao ZhaoLinfang XiaoJiong WuGkk Leung
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)NeuroImage (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yilong Liu
40 papers receiving 669 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 391
- Neurology 118
- Computational Mathematics 7
- Computer Vision and Pattern Recognition 177
- Health Informatics 7
Countries citing papers authored by Yilong Liu
This map shows the geographic impact of Yilong Liu'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 Yilong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yilong Liu more than expected).
Fields of papers citing papers by Yilong Liu
This network shows the impact of papers produced by Yilong Liu. 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 Yilong Liu. The network helps show where Yilong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yilong Liu, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 18 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 27 | |
| 16 | 2020 | 59 | |
| 17 | 2020 | 35 | |
| 18 | 2017 | 3 | |
| 19 | 2013 | 7 | |
| 20 | 2006 | 11 |
About Yilong Liu
Yilong Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation, having authored 46 papers that have together received 685 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (21 papers), Atomic and Subatomic Physics Research (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (7 papers), Advanced Neural Network Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Photoreceptor and optogenetics research (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (391 citations), Neurology (118 citations) and Computational Mathematics (7 citations). Yilong Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include EX Wu, Alex T. L. Leong, Yue Zhang, Xiaoying Tang, Yujiao Zhao, Linfang Xiao, Jiong Wu, Gkk Leung, Henry Ka‐Fung Mak and Anderson Chun On Tsang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.
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.