Ange Lou
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Advanced Neural Network Applications 6
- Advanced Vision and Imaging 4
- Medical Image Segmentation Techniques 4
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- AI in cancer detection 6
- Co-authors
- Murray H. Loew (5 shared papers)Shuyue Guan (5 shared papers)Hanseok Ko (1 shared paper)Jack H. Noble (9 shared papers)Kareem O. Tawfik (1 shared paper)Robert F. Labadie (1 shared paper)Yamin Li (1 shared paper)Zhongpai Gao (1 shared paper)
- Journals
- Computers in Biology and Medicine (1 paper)IEEE Transactions on Medical Imaging (1 paper)Journal of Medical Imaging (2 papers)PubMed (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ange Lou
15 papers receiving 416 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 243
- Radiology, Nuclear Medicine and Imaging 157
- Neurology 44
- Media Technology 42
- Artificial Intelligence 144
Countries citing papers authored by Ange Lou
This map shows the geographic impact of Ange Lou'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 Ange Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ange Lou more than expected).
Fields of papers citing papers by Ange Lou
This network shows the impact of papers produced by Ange Lou. 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 Ange Lou. The network helps show where Ange Lou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ange Lou, 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 | 107 | |
| 2 | 2022 | 93 | |
| 3 | 2023 | 71 | |
| 4 | 2021 | 61 | |
| 5 | 2023 | 36 | |
| 6 | 2023 | 35 | |
| 7 | 2019 | 11 | |
| 8 | 2025 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Ange Lou
Ange Lou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery and Cognitive Neuroscience, having authored 19 papers that have together received 429 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Advanced Neural Network Applications (6 papers), Surgical Simulation and Training (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Vision and Imaging (4 papers), Medical Image Segmentation Techniques (4 papers), Retinal Imaging and Analysis (3 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (243 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Neurology (44 citations), Media Technology (42 citations) and Artificial Intelligence (144 citations). Ange Lou has collaborated with scholars based in United States and China. Frequent co-authors include Murray H. Loew, Shuyue Guan, Hanseok Ko, Jack H. Noble, Kareem O. Tawfik, Robert F. Labadie, Yamin Li, Zhongpai Gao, Han Liu and Daniel Moyer. Their work appears in journals such as Computers in Biology and Medicine, IEEE Transactions on Medical Imaging, Journal of Medical Imaging and PubMed.
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.