Minghan Fu
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
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- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
Papers in
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- Video Surveillance and Tracking Methods 2
- Medical Image Segmentation Techniques 2
- Image Enhancement Techniques 2
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- AI in cancer detection 3
- Co-authors
- Keyan Wang (2 shared papers)Jun Chen (2 shared papers)Huan Liu (2 shared papers)Fang‐Xiang Wu (7 shared papers)Xiyao Wang (1 shared paper)Ping Luo (1 shared paper)Yulian Ding (1 shared paper)Rayyan Azam Khan (2 shared papers)
- Journals
- Artificial Intelligence in Medicine (1 paper)Computers in Biology and Medicine (1 paper)IEEE Transactions on Medical Imaging (1 paper)Frontiers in Genetics (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Minghan Fu
11 papers receiving 258 citations
Peers
Comparison fields: 5 of 59
- Media Technology 77
- Computer Vision and Pattern Recognition 164
- Health Informatics 8
- Safety, Risk, Reliability and Quality 26
- Neurology 17
Countries citing papers authored by Minghan Fu
This map shows the geographic impact of Minghan Fu'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 Minghan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghan Fu more than expected).
Fields of papers citing papers by Minghan Fu
This network shows the impact of papers produced by Minghan Fu. 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 Minghan Fu. The network helps show where Minghan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghan Fu, 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 | 2021 | 96 | |
| 2 | 2021 | 60 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2024 | 22 | |
| 6 | 2023 | 11 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Minghan Fu
Minghan Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biophysics, having authored 12 papers that have together received 262 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cell Image Analysis Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Medical Imaging Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Medical Image Segmentation Techniques (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Media Technology (77 citations), Computer Vision and Pattern Recognition (164 citations), Health Informatics (8 citations), Safety, Risk, Reliability and Quality (26 citations) and Neurology (17 citations). Minghan Fu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Keyan Wang, Jun Chen, Huan Liu, Fang‐Xiang Wu, Xiyao Wang, Ping Luo, Yulian Ding, Rayyan Azam Khan, Yigang Luo and Brent Burbridge. Their work appears in journals such as Artificial Intelligence in Medicine, Computers in Biology and Medicine, IEEE Transactions on Medical Imaging, Frontiers in Genetics and Journal of Cancer Research and Clinical Oncology.
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.