Fuhua Yan
Impact in
- Health Informatics top 0.5%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 29
- Advanced Neuroimaging Techniques and Applications 27
- Advanced MRI Techniques and Applications 22
- MRI in cancer diagnosis 18
- Cardiac Imaging and Diagnostics 18
- Neurology 33
- Parkinson's Disease Mechanisms and Treatments 22
- Neurological disorders and treatments 20
Fuhua Yan
157 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Health Informatics 153
- Radiology, Nuclear Medicine and Imaging 2.0k
- Neurology 941
- Infectious Diseases 803
- Critical Care and Intensive Care Medicine 101
Countries citing papers authored by Fuhua Yan
This map shows the geographic impact of Fuhua Yan'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 Fuhua Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuhua Yan more than expected).
Fields of papers citing papers by Fuhua Yan
This network shows the impact of papers produced by Fuhua Yan. 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 Fuhua Yan. The network helps show where Fuhua Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuhua Yan, 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 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 24 | |
| 17 | 2020 | 51 | |
| 18 | 2019 | 73 | |
| 19 | 2014 | 18 | |
| 20 | [Nondestructive imaging of elements distribution in biomedical samples by X-ray fluorescence computed tomography]. | 2011 | 1 |
About Fuhua Yan
Fuhua Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Hepatology, Health Informatics and Cardiology and Cardiovascular Medicine, having authored 165 papers that have together received 3.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Advanced Neuroimaging Techniques and Applications (27 papers), Parkinson's Disease Mechanisms and Treatments (22 papers), Advanced MRI Techniques and Applications (22 papers), Neurological disorders and treatments (20 papers), Advanced X-ray and CT Imaging (20 papers), MRI in cancer diagnosis (18 papers) and Cardiac Imaging and Diagnostics (18 papers). The work is most often cited by research in Health Informatics (153 citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Neurology (941 citations), Infectious Diseases (803 citations) and Critical Care and Intensive Care Medicine (101 citations). Fuhua Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wenjie Yang, Zenghui Cheng, Le Qin, Naying He, Qiqi Cao, Qingfeng Sun, Jianyi Dai, Ashan Pan, Jieming Qu and Xiaoyang Wang. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, NeuroImage, Magnetic Resonance Imaging and American Journal of Roentgenology.
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.