Ruogu Fang
- Health Informatics top 5%
- Ophthalmology top 2%
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- Image and Signal Denoising Methods 8
- Advanced Neural Network Applications 5
- Advanced Image Processing Techniques 5
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- Retinal Imaging and Analysis 13
- Advanced MRI Techniques and Applications 12
- Medical Imaging Techniques and Applications 11
- Advanced Neuroimaging Techniques and Applications 6
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- Cell Image Analysis Techniques 5
- Co-authors
- Tsuhan ChenSkylar E. StoltePina C. SanelliKevin TangNoah SnavelyHuating LiWeiping JiaQiang Wu
- Journals
- SHILAP Revista de lepidopterología (2 papers)NeuroImage (1 paper)Scientific Reports (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ruogu Fang
62 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Health Informatics 49
- Ophthalmology 307
- Health Information Management 136
- Computer Vision and Pattern Recognition 590
- Radiology, Nuclear Medicine and Imaging 662
Countries citing papers authored by Ruogu Fang
This map shows the geographic impact of Ruogu Fang'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 Ruogu Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruogu Fang more than expected).
Fields of papers citing papers by Ruogu Fang
This network shows the impact of papers produced by Ruogu Fang. 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 Ruogu Fang. The network helps show where Ruogu Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruogu Fang, 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 | A Comprehensive Survey of Foundation Models in Medicinebreakdown → | 2025 | 16 |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 97 | |
| 15 | 2019 | 77 | |
| 16 | 2018 | 56 | |
| 17 | Wide Inference Network for Image Denoising. | 2017 | 10 |
| 18 | 2016 | 19 | |
| 19 | 2015 | 4 | |
| 20 | 2012 | 6 |
About Ruogu Fang
Ruogu Fang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biophysics, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (13 papers), Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (11 papers), Image and Signal Denoising Methods (8 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Cell Image Analysis Techniques (5 papers), Advanced Neural Network Applications (5 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Health Informatics (49 citations), Ophthalmology (307 citations) and Health Information Management (136 citations). Ruogu Fang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Tsuhan Chen, Skylar E. Stolte, Pina C. Sanelli, Kevin Tang, Noah Snavely, Huating Li, Weiping Jia, Qiang Wu, Bin Sheng and S. S. Iyengar. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.
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.