Utku Köse
About
Utku Köse has authored 104 papers that have received a total of 1.1k indexed citations.
This includes 27 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Vision and Pattern Recognition. The topics of these papers are COVID-19 diagnosis using AI (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Experimental Learning in Engineering (6 papers). Utku Köse is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Experimental Learning in Engineering (6 papers) and collaborates with scholars based in Türkiye, India and Mexico. Utku Köse's co-authors include Ömer Deperlioğlu, José Antonio Marmolejo-Saucedo, Subrato Bharati, Deepak Gupta and Jafar A. Alzubi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energies.
In The Last Decade
Fields of papers published by Utku Köse
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by Utku Köse
Since SpecializationCitations
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