| Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm E Uzlu, M Kankal, A Akpınar, T Dede Energy 75, 295-303, 2014 | 136 | 2014 |
| Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey E Uzlu, A Akpınar, HT Özturk, S Nacar, M Kankal Energy 69, 638-647, 2014 | 109 | 2014 |
| Neural network approach with teaching–learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey M Kankal, E Uzlu Neural Computing and Applications 28, 737-747, 2017 | 89 | 2017 |
| Modeling stream dissolved oxygen concentration using teaching–learning based optimization algorithm A Bayram, E Uzlu, M Kankal, T Dede Environmental Earth Sciences 73, 6565-6576, 2015 | 71 | 2015 |
| Restructuring of Turkey’s electricity market and the share of hydropower energy: The case of the Eastern Black Sea Basin E Uzlu, A Akpınar, Mİ Kömürcü Renewable Energy 36 (2), 676-688, 2011 | 47 | 2011 |
| Prediction of berm geometry using a set of laboratory tests combined with teaching–learning-based optimization and artificial bee colony algorithms E Uzlu, Mİ Kömürcü, M Kankal, T Dede, HT Öztürk Applied Ocean Research 48, 103-113, 2014 | 33 | 2014 |
| Estimates of greenhouse gas emission in Turkey with grey wolf optimizer algorithm-optimized artificial neural networks E Uzlu Neural Computing and Applications 33 (20), 13567-13585, 2021 | 29 | 2021 |
| Assessment of hydropower and multi-dam power projects in Turkey M Kankal, A Bayram, E Uzlu, U Satilmiş Renewable energy 68, 118-133, 2014 | 24 | 2014 |
| Status of hydropower and water resources in the Southeastern Anatolia Project (GAP) of Turkey M Kankal, S Nacar, E Uzlu Energy Reports 2, 123-128, 2016 | 18 | 2016 |
| Doğu Karadeniz Havzası’ndaki küçük hidroelektrik santrallerin durumu, 7 E Uzlu, MH Filiz, Mİ Kömürcü, A Akpınar, O Yavuz Ulusal Temiz Enerji Sempozyumu UTES, 459-466, 2008 | 18 | 2008 |
| Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey E Uzlu Energy Sources, Part B: Economics, Planning, and Policy 14 (5), 183-200, 2019 | 17 | 2019 |
| DOĞU KARADENİZ HAVZASINDAKİ HİDROELEKTRİK POTANSİYELİN ANALİZİ Ç Karstarlı, Mİ Kömürcü, A Akpınar, E Uzlu, M Kankal, H Önsoy | 13 | 2011 |
| Predicting temporal rate coefficient of bar volume using hybrid artificial intelligence approaches M Kankal, E Uzlu, S Nacar, Ö Yüksek Journal of marine science and technology 23, 596-604, 2018 | 12 | 2018 |
| Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport S Karasu, PA Work, E Uzlu, M Kankal, Ö Yüksek Applied Ocean Research 59, 459-471, 2016 | 12 | 2016 |
| The status of transboundary rivers in Turkey M Kankal, E Uzlu Water resources 41, 649-665, 2014 | 9 | 2014 |
| Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini U Ergun Gazi University Journal of Science Part C: Design and Technology 7 (2), 245-262, 2019 | 8 | 2019 |
| Jaya algoritması ile optimize edilmiş yapay sinir ağlarını kullanarak Türkiye’de elektrik enerjisi tüketiminin tahmini U Ergun, D Tayfun Gazi University Journal of Science Part C: Design and Technology 8 (3), 511-528, 2020 | 3 | 2020 |
| Prediction of parameters which affect beach nourishment performance using MARS, TLBO, and conventional regression techniques S Karasu, M Kankal, S Nacar, E Uzlu, Ö Yüksek Thalassas: An International Journal of Marine Sciences 36, 245-260, 2020 | 3 | 2020 |
| Estimating electric energy consumption in Turkey using artificial neural networks optimized with Jaya algorithm U Ergun, D Tayfun Gazi University Journal of Science Part C: Design and Technology 8 (3), 511-528, 2020 | 3 | 2020 |
| The estimation of flood quantiles in ungauged sites using teaching-learning based optimization and artificial bee colony algorithms T Anılan, E Uzlu, M Kankal, O Yuksek Scientia Iranica 25 (2), 632-645, 2018 | 3 | 2018 |
