Nanqing Dong
About
Nanqing Dong has authored 18 papers that have received a total of 384 indexed citations.
This includes 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), Privacy-Preserving Technologies in Data (4 papers) and COVID-19 diagnosis using AI (3 papers). Nanqing Dong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Privacy-Preserving Technologies in Data (4 papers) and COVID-19 diagnosis using AI (3 papers) and collaborates with scholars based in China, United Kingdom and United States. Nanqing Dong's co-authors include Eric P. Xing, Michael Kampffmeyer, Irina Voiculescu, Junwei Cao and Steven McDonagh and has published in prestigious journals such as Nature Communications, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.
In The Last Decade
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