Xiaoyuan Feng
- Genetics top 2%
- Glioma Diagnosis and Treatment 21
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- MRI in cancer diagnosis 22
- Advanced Neuroimaging Techniques and Applications 22
- Advanced MRI Techniques and Applications 18
- Radiomics and Machine Learning in Medical Imaging 6
- Developmental Neuroscience top 5%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Fetal and Pediatric Neurological Disorders 5
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- Visual perception and processing mechanisms 5
- Co-authors
- Zhenwei YaoHaopeng PangJiawen ZhangFeng‐Yan SunXin GuoMei‐Hong QiuJunhai ZhangTobias D. Henning
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoyuan Feng
99 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Genetics 381
- Radiology, Nuclear Medicine and Imaging 467
- Developmental Neuroscience 77
- Neurology 132
- Neurology 229
Countries citing papers authored by Xiaoyuan Feng
This map shows the geographic impact of Xiaoyuan Feng'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 Xiaoyuan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Feng more than expected).
Fields of papers citing papers by Xiaoyuan Feng
This network shows the impact of papers produced by Xiaoyuan Feng. 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 Xiaoyuan Feng. The network helps show where Xiaoyuan Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyuan Feng, 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 | 9 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 23 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 11 | |
| 10 | 2015 | 15 | |
| 11 | 2015 | 92 | |
| 12 | 2015 | 1 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 31 | |
| 16 | 2013 | 13 | |
| 17 | 2011 | 13 | |
| 18 | 2011 | 4 | |
| 19 | 2010 | 21 | |
| 20 | 2008 | 40 |
About Xiaoyuan Feng
Xiaoyuan Feng is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (22 papers), Advanced Neuroimaging Techniques and Applications (22 papers), Glioma Diagnosis and Treatment (21 papers), Advanced MRI Techniques and Applications (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Fetal and Pediatric Neurological Disorders (5 papers) and Visual perception and processing mechanisms (5 papers). The work is most often cited by research in Genetics (381 citations), Radiology, Nuclear Medicine and Imaging (467 citations) and Developmental Neuroscience (77 citations). Xiaoyuan Feng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhenwei Yao, Haopeng Pang, Jiawen Zhang, Feng‐Yan Sun, Xin Guo, Mei‐Hong Qiu, Junhai Zhang, Tobias D. Henning, Xingrong Chen and Yan Ren. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.
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.