Utku Köse
About
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
In The Last Decade
Explore authors with similar magnitude of impact
Top countries impacted by papers by Fushun Liu Top fields papers by Liangjin Huang are about Top authors papers by Philip Norton are co-authored with Top countries impacted by papers by K. Thambiratnam Top countries impacted by papers by Alaattin Şen Top journals papers by Lijiang Zeng are published in Top fields papers by Sihem Amer-Yahia are about Top authors papers by Ennio Valentin are co-authored with