Feng Shi
Impact in
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- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- COVID-19 diagnosis using AI
- Health Informatics top 0.5%
Papers in
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- Advanced Neuroimaging Techniques and Applications 56
- Advanced MRI Techniques and Applications 36
- Radiomics and Machine Learning in Medical Imaging 36
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- Medical Image Segmentation Techniques 71
- Advanced Neural Network Applications 25
- Co-authors
- Dinggang G. Shen (202 shared papers)Weili Lin (69 shared papers)John H. Gilmore (50 shared papers)Li Wang (60 shared papers)Gang Li (43 shared papers)Pew‐Thian Yap (36 shared papers)Yaozong Gao (30 shared papers)Guorong Wu (15 shared papers)
- Journals
- NeuroImage (14 papers)IEEE Transactions on Medical Imaging (13 papers)Human Brain Mapping (12 papers)PLoS ONE (11 papers)Medical Physics (8 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Feng Shi
452 papers receiving 14.1k citations
Feng Shi's Hit Papers
Peers
Comparison fields: 5 of 222
- Radiology, Nuclear Medicine and Imaging 4.3k
- Health Informatics 270
- Cognitive Neuroscience 3.5k
- Neurology 866
- Pediatrics, Perinatology and Child Health 1.9k
Countries citing papers authored by Feng Shi
This map shows the geographic impact of Feng Shi'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 Feng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Shi more than expected).
Fields of papers citing papers by Feng Shi
This network shows the impact of papers produced by Feng Shi. 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 Feng Shi. The network helps show where Feng Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Shi, 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 503 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Infant Brain Atlases from Neonates to 1- and 2-Year-Olds Hit paper breakdown → | 2011 | 461 |
| 2 | 2009 | 384 | |
| 3 | 2011 | 368 | |
| 4 | Family Poverty Affects the Rate of Human Infant Brain Growth Hit paper breakdown → | 2013 | 333 |
| 5 | 2014 | 303 | |
| 6 | 2020 | 292 | |
| 7 | 2018 | 259 | |
| 8 | 2015 | 242 | |
| 9 | 2013 | 209 | |
| 10 | 2014 | 203 | |
| 11 | 2014 | 202 | |
| 12 | 2020 | 200 | |
| 13 | 2010 | 192 | |
| 14 | 2001 | 184 | |
| 15 | 2012 | 183 | |
| 16 | 2020 | 182 | |
| 17 | 2011 | 173 | |
| 18 | 2009 | 170 | |
| 19 | 2009 | 168 | |
| 20 | 2019 | 159 |
About Feng Shi
Feng Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Neurology, having authored 503 papers that have together received 14.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (71 papers), Functional Brain Connectivity Studies (63 papers), Advanced Neuroimaging Techniques and Applications (56 papers), Neonatal and fetal brain pathology (41 papers), Advanced MRI Techniques and Applications (36 papers), Radiomics and Machine Learning in Medical Imaging (36 papers), Advanced Neural Network Applications (25 papers) and Brain Tumor Detection and Classification (22 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.3k citations), Health Informatics (270 citations), Cognitive Neuroscience (3.5k citations), Neurology (866 citations) and Pediatrics, Perinatology and Child Health (1.9k citations). Feng Shi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dinggang G. Shen, Weili Lin, John H. Gilmore, Li Wang, Gang Li, Pew‐Thian Yap, Yaozong Gao, Guorong Wu, Tianzi Jiang and Chunshui Yu. Their work appears in journals such as NeuroImage, IEEE Transactions on Medical Imaging, Human Brain Mapping, PLoS ONE and Medical Physics.
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.