Utku Köse

96 papers and 1.1k indexed citations i.

Utku Köse has authored 96 papers that have received a total of 1.1k indexed citations. This includes 25 papers in Artificial Intelligence, 12 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Networks and Communications. The topics of these papers are COVID-19 diagnosis using AI (7 papers), Experimental Learning in Engineering (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Utku Köse is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Experimental Learning in Engineering (6 papers) and Anomaly Detection Techniques and Applications (6 papers) and collaborates with scholars based in Türkiye, India and Mexico. Utku Köse's co-authors include Ömer Deperlioğlu, José Antonio Marmolejo-Saucedo, Deepak Gupta, Jafar A. Alzubi and D. Jude Hemanth and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energies