Yufan He
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- Retinal Imaging and Analysis 17
- Ophthalmology top 2%
- Retinal and Optic Conditions 5
- Glaucoma and retinal disorders 4
- Retinal Diseases and Treatments 3
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- Medical Image Segmentation Techniques 6
- Digital Imaging for Blood Diseases 2
- Advanced Neural Network Applications 2
- Neurology top 10%
- Biomedical Engineering top 10%
- Optical Coherence Tomography Applications 13
- Co-authors
- Jerry L. PrinceAaron CarassYong DuEric C. FreyJunyu ChenW. Paul SegarsYe LiPeter A. Calabresi
- Cited by
- Radiology, Nuclear Medicine and ImagingOphthalmologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (1 paper)NeuroImage (2 papers)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yufan He
28 papers receiving 996 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 592
- Ophthalmology 233
- Computer Vision and Pattern Recognition 445
- Neurology 119
- Biomedical Engineering 338
Countries citing papers authored by Yufan He
This map shows the geographic impact of Yufan He'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 Yufan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yufan He more than expected).
Fields of papers citing papers by Yufan He
This network shows the impact of papers produced by Yufan He. 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 Yufan He. The network helps show where Yufan He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yufan He, 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 | 2024 | 34 | |
| 2 | 2023 | 17 | |
| 3 | TransMorph: Transformer for unsupervised medical image registrationbreakdown → | 2022 | 320 |
| 4 | 2022 | 15 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 54 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 72 | |
| 10 | 2020 | 47 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 39 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 47 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 54 | |
| 19 | 2017 | 38 | |
| 20 | 2017 | 12 |
About Yufan He
Yufan He is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Optical Coherence Tomography Applications (13 papers), Medical Image Segmentation Techniques (6 papers), Retinal and Optic Conditions (5 papers), Glaucoma and retinal disorders (4 papers), Retinal Diseases and Treatments (3 papers), Digital Imaging for Blood Diseases (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (592 citations), Ophthalmology (233 citations) and Computer Vision and Pattern Recognition (445 citations). Yufan He has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jerry L. Prince, Aaron Carass, Yong Du, Eric C. Frey, Junyu Chen, W. Paul Segars, Ye Li, Peter A. Calabresi, Shiv Saidha and Sharon D. Solomon. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Medical Imaging.
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.