Luyang Luo
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 14
- COVID-19 diagnosis using AI 7
- Retinal Imaging and Analysis 4
-
- AI in cancer detection 9
- Machine Learning in Healthcare 4
- Co-authors
- Hao Chen (30 shared papers)Pheng‐Ann Heng (17 shared papers)Xi Wang (11 shared papers)Qi Dou (3 shared papers)An Ran Ran (5 shared papers)Huangjing Lin (10 shared papers)Carol Yim-Lui Cheung (4 shared papers)Chenxi Lin (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (6 papers)Medical Image Analysis (5 papers)Nature Communications (4 papers)Lecture notes in computer science (13 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Luyang Luo
39 papers receiving 976 citations
Luyang Luo's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 46
- Radiology, Nuclear Medicine and Imaging 503
- Ophthalmology 137
- Artificial Intelligence 398
- Computer Vision and Pattern Recognition 199
Countries citing papers authored by Luyang Luo
This map shows the geographic impact of Luyang Luo'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 Luyang Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyang Luo more than expected).
Fields of papers citing papers by Luyang Luo
This network shows the impact of papers produced by Luyang Luo. 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 Luyang Luo. The network helps show where Luyang Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyang Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2019 | 112 | |
| 3 | Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Hit paper breakdown → | 2024 | 89 |
| 4 | 2017 | 83 | |
| 5 | 2020 | 72 | |
| 6 | 2020 | 70 | |
| 7 | 2020 | 68 | |
| 8 | 2023 | 55 | |
| 9 | 2021 | 41 | |
| 10 | 2017 | 37 | |
| 11 | 2024 | 36 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2024 | 9 |
About Luyang Luo
Luyang Luo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics and Ophthalmology, having authored 46 papers that have together received 990 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (9 papers), COVID-19 diagnosis using AI (7 papers), Medical Image Segmentation Techniques (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Retinal Imaging and Analysis (4 papers), Glaucoma and retinal disorders (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (503 citations), Ophthalmology (137 citations), Artificial Intelligence (398 citations) and Computer Vision and Pattern Recognition (199 citations). Luyang Luo has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hao Chen, Pheng‐Ann Heng, Xi Wang, Qi Dou, An Ran Ran, Huangjing Lin, Carol Yim-Lui Cheung, Chenxi Lin, Jing Su and Haoyu Yang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Nature Communications, Lecture notes in computer science and IEEE Journal of Biomedical and Health Informatics.
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.