Pao-Ta Yu
About
Pao-Ta Yu has authored 60 papers that have received a total of 825 indexed citations.
This includes 25 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Education. The topics of these papers are Image and Signal Denoising Methods (15 papers), Neural Networks and Applications (8 papers) and Online and Blended Learning (7 papers). Pao-Ta Yu is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Neural Networks and Applications (8 papers) and Online and Blended Learning (7 papers) and collaborates with scholars based in Taiwan, China and United States. Pao-Ta Yu's co-authors include Hung-Hsu Tsai, Tzu-Chao Lin, Yen-Shou Lai, Jenq‐Muh Hsu and Ting‐Wen Chang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing
In The Last Decade
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