Jingfan Fan
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- Medical Image Segmentation Techniques 45
- Advanced Neural Network Applications 15
- Augmented Reality Applications 11
- Advanced Image and Video Retrieval Techniques 10
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- Retinal Imaging and Analysis 15
- Medical Imaging Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 12
- Health Informatics top 10%
- Neurology top 10%
- Media Technology top 5%
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- Robotics and Sensor-Based Localization 22
- Co-authors
- Jian YangDanni AiPew‐Thian YapDinggang ShenXiaohuan CaoYongtian WangHong SongSongyuan Tang
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHealth Informatics
- Journals
- PLoS ONE (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jingfan Fan
108 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 833
- Radiology, Nuclear Medicine and Imaging 605
- Health Informatics 20
- Neurology 115
- Media Technology 116
Countries citing papers authored by Jingfan Fan
This map shows the geographic impact of Jingfan Fan'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 Jingfan Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingfan Fan more than expected).
Fields of papers citing papers by Jingfan Fan
This network shows the impact of papers produced by Jingfan Fan. 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 Jingfan Fan. The network helps show where Jingfan Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingfan Fan, 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 | ||
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| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 0 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 1 |
About Jingfan Fan
Jingfan Fan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mathematics, having authored 124 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (45 papers), Robotics and Sensor-Based Localization (22 papers), Retinal Imaging and Analysis (15 papers), Advanced Neural Network Applications (15 papers), Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Augmented Reality Applications (11 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (833 citations), Radiology, Nuclear Medicine and Imaging (605 citations) and Health Informatics (20 citations). Jingfan Fan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jian Yang, Danni Ai, Pew‐Thian Yap, Dinggang Shen, Xiaohuan Cao, Yongtian Wang, Hong Song, Songyuan Tang, Qian Wang and Zhong Xue. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.