Keng-hao Chang

9 papers and 115 indexed citations i.

Keng-hao Chang is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keng-hao Chang has authored 9 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biomedical Engineering, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keng-hao Chang’s work include Gait Recognition and Analysis (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Learning Styles and Cognitive Differences (1 paper). Keng-hao Chang is often cited by papers focused on Gait Recognition and Analysis (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Learning Styles and Cognitive Differences (1 paper). Keng-hao Chang collaborates with scholars based in United States, Taiwan and Australia. Keng-hao Chang's co-authors include Allison G. Harvey, Eleanor L. McGlinchey, Ronald E. Dahl, Katherine A. Kaplan, Lisa S. Talbot, Jane Yung-jen Hsu, Hao-Hua Chu, I‐Chen Lin, Manik Varma and Yueh Chien and has published in prestigious journals such as SLEEP, Multimedia Tools and Applications and Personal and Ubiquitous Computing.