Taek Lyul Song

112 papers and 1.4k indexed citations i.

About

Taek Lyul Song has authored 112 papers that have received a total of 1.4k indexed citations. This includes 93 papers in Artificial Intelligence, 61 papers in Aerospace Engineering and 29 papers in Computer Networks and Communications. The topics of these papers are Target Tracking and Data Fusion in Sensor Networks (93 papers), Distributed Sensor Networks and Detection Algorithms (28 papers) and Infrared Target Detection Methodologies (26 papers). Taek Lyul Song is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (93 papers), Distributed Sensor Networks and Detection Algorithms (28 papers) and Infrared Target Detection Methodologies (26 papers) and collaborates with scholars based in South Korea, United States and China. Taek Lyul Song's co-authors include Darko Mušicki, Tae Han Kim, Uzair Khan, Qian Zhang and T. Kirubarajan and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and The Journal of the Acoustical Society of America

In The Last Decade

Rankless by CCL
2025