| Performance of small-world feedforward neural networks for the diagnosis of diabetes O Erkaymaz, M Ozer, M Perc Applied Mathematics and Computation 311, 22-28, 2017 | 101 | 2017 |
| The prediction of photovoltaic module temperature with artificial neural networks İ Ceylan, O Erkaymaz, E Gedik, AE Gürel Case Studies in Thermal Engineering 3, 11-20, 2014 | 96 | 2014 |
| Impact of small-world network topology on the conventional artificial neural network for the diagnosis of diabetes O Erkaymaz, M Ozer Chaos, Solitons & Fractals 83, 178-185, 2016 | 70 | 2016 |
| Impact of small-world topology on the performance of a feed-forward artificial neural network based on 2 different real-life problems O Erkaymaz, M Özer, N Yumuşak Turkish Journal of Electrical Engineering & Computer Sciences 22 (3), 708-718, 2014 | 35 | 2014 |
| The artificial neural network model to estimate the photovoltaic modul efficiency for all regions of the Turkey İ Ceylan, E Gedik, O Erkaymaz, AE Gürel Energy and Buildings 84, 258-267, 2014 | 31 | 2014 |
| Yapay sinir ağları ile Tr81 bölgesi yıllık elektrik enerjisi tüketiminin tahmini Y Kocadayi, O Erkaymaz, R Uzun BİLDİRİ ÖZETLERİ KİTABI 239, 2017 | 22* | 2017 |
| Resilient back-propagation approach in small-world feed-forward neural network topology based on Newman–Watts algorithm O Erkaymaz Neural Computing and Applications 32 (20), 16279-16289, 2020 | 20 | 2020 |
| Performance Analysis of A Feed-Forward Artifical Neural Network With Small-World Topology O Erkaymaz, M Özer, N Yumuşak Procedia Technology 1, 291-296, 2012 | 18 | 2012 |
| Impact of hybrid neural network on the early diagnosis of diabetic retinopathy disease from video-oculography signals C Kaya, O Erkaymaz, O Ayar, M Özer Chaos, Solitons & Fractals 114, 164-174, 2018 | 16 | 2018 |
| Effects of obesity on time-frequency components of electroretinogram signal using continuous wavelet transform O Erkaymaz, ÍS Yapıcı, R Arslan Uzun Biomedical Signal Processing and Control 4 (66), 2021 | 15 | 2021 |
| Optimization of digital holographic setup by a fuzzy logic prediction system GU Kaya, O Erkaymaz, Z Sarac Expert Systems with Applications 56, 177-185, 2016 | 14 | 2016 |
| Impact of synaptic noise and conductance state on spontaneous cortical firing M Ozer, LJ Graham, O Erkaymaz, M Uzuntarla NeuroReport 18 (13), 1371-1374, 2007 | 14 | 2007 |
| A hybrid intelligent classifier to estimate obesity levels based on ERG signals İS Yapici, O Erkaymaz, RU Arslan Physics Letters A 399, 127281, 2021 | 6 | 2021 |
| Classification of cervical cancer data and the effect of random subspace algorithms on classification performance O Erkaymaz, T Palabaş 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 6 | 2018 |
| Comparison of artificial neural network and regression models to diagnose of knee disorder in different postures using surface electromyography U Rukiye, O Erkaymaz, İS YAPİCİ Gazi University Journal of Science 31 (1), 100-110, 2018 | 6 | 2018 |
| Use of Autopsy to Determine Live or Stillbirth: New Approaches in Decision‐support Systems R Yilmaz, O Erkaymaz, E Kara, K Ergen Journal of forensic sciences 62 (2), 468-472, 2017 | 6 | 2017 |
| Prediction of the optimal threshold value in DF relay selection schemes based on artificial neural networks F Kara, H Kaya, O Erkaymaz, F Öztürk 2016 International Symposium on INnovations in Intelligent SysTems and …, 2016 | 6 | 2016 |
| Modeling of compressive strength parallel to grain of heat treated scotch pine (Pinus sylvestris L.) wood by using artificial neural network F Yapıcı, R Esen, O Erkaymaz, H Baş Drvna industrija 66 (4), 347-352, 2015 | 6 | 2015 |
| Detection of knee abnormality from surface EMG signals by artificial neural networks O Erkaymaz, İ Şenyer, R Uzun 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 5 | 2017 |
| A new adaptive neuro-fuzzy solution for optimization of the parameters in the digital holography setup G Ustabas Kaya, O Erkaymaz, Z Sarac Soft Computing 23 (18), 8827-8837, 2019 | 4 | 2019 |
