John Sum
About
John Sum has authored 51 papers that have received a total of 488 indexed citations.
This includes 33 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. The topics of these papers are Neural Networks and Applications (27 papers), Machine Learning and ELM (13 papers) and Face and Expression Recognition (8 papers). John Sum is often cited by papers focused on Neural Networks and Applications (27 papers), Machine Learning and ELM (13 papers) and Face and Expression Recognition (8 papers) and collaborates with scholars based in Hong Kong, Taiwan and United States. John Sum's co-authors include Chi-Sing Leung, Kevin Ho, Gilbert H. Young, Hong Shen and Yi Xiao and has published in prestigious journals such as IEEE Access, Neural Computation and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
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