Fan Song
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- Optical Imaging and Spectroscopy Techniques 11
- Radiomics and Machine Learning in Medical Imaging 10
- Health Informatics top 10%
- Neurology top 10%
- Cognitive Neuroscience top 10%
- Biophysics top 10%
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- Photoacoustic and Ultrasonic Imaging 10
- Non-Invasive Vital Sign Monitoring 7
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- AI in cancer detection 8
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- Genomics and Phylogenetic Studies 5
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- Lung Cancer Diagnosis and Treatment 4
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- Heart Rate Variability and Autonomic Control 4
- Co-authors
- Guanglei ZhangPeng ZhangGuangda FanYoudan FengYangyang SunChenbin MaDazhi YinXu Yan
- Journals
- IEEE Transactions on Medical Imaging (4 papers)International Journal of Biological Macromolecules (3 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fan Song
49 papers receiving 889 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 369
- Health Informatics 14
- Neurology 76
- Cognitive Neuroscience 160
- Biophysics 45
Countries citing papers authored by Fan Song
This map shows the geographic impact of Fan Song'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 Fan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Song more than expected).
Fields of papers citing papers by Fan Song
This network shows the impact of papers produced by Fan Song. 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 Fan Song. The network helps show where Fan Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Song, 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 | 2 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 60 | |
| 19 | 2021 | 16 | |
| 20 | 2013 | 32 |
About Fan Song
Fan Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering, having authored 52 papers that have together received 904 indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Photoacoustic and Ultrasonic Imaging (10 papers), AI in cancer detection (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), Genomics and Phylogenetic Studies (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (369 citations), Health Informatics (14 citations) and Neurology (76 citations). Fan Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guanglei Zhang, Peng Zhang, Guangda Fan, Youdan Feng, Yangyang Sun, Chenbin Ma, Dazhi Yin, Xu Yan, Mingxia Fan and Limin Sun. Their work appears in journals such as IEEE Transactions on Medical Imaging, International Journal of Biological Macromolecules, IEEE Journal of Biomedical and Health Informatics, Medical Physics and Computer Methods and Programs in Biomedicine.
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.