Chia-Wen Kuo

13 papers and 226 indexed citations i.

Chia-Wen Kuo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Chia-Wen Kuo has authored 13 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Chia-Wen Kuo’s work include Advanced Neural Network Applications (5 papers), Multimodal Machine Learning Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Chia-Wen Kuo is often cited by papers focused on Advanced Neural Network Applications (5 papers), Multimodal Machine Learning Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Chia-Wen Kuo collaborates with scholars based in Taiwan, United States and Slovakia. Chia-Wen Kuo's co-authors include Zsolt Kira, Chin-Chen Wu, Chih‐Yao Ma, Cheng‐Ming Tsao and Chih‐Chin Shih and has published in prestigious journals such as Proceedings of the IEEE, Biomedicine & Pharmacotherapy and Thrombosis Research.