| 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 | 103 | 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 | 90 | 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 (1), 737-747, 2017 | 66 | 2017 |
| Modeling stream dissolved oxygen concentration using teaching–learning based optimization algorithm A Bayram, E Uzlu, M Kankal, T Dede Environmental Earth Sciences 73 (10), 6565-6576, 2015 | 57 | 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 | 42 | 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 | 32 | 2014 |
| Assessment of hydropower and multi-dam power projects in Turkey M Kankal, A Bayram, E Uzlu, U Satilmiş Renewable energy 68, 118-133, 2014 | 19 | 2014 |
| 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 | 15 | 2008 |
| 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 | 10 | 2016 |
| 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 | 8 | 2019 |
| 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 (3), 596-604, 2018 | 8 | 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 | 8 | 2016 |
| The status of transboundary rivers in Turkey M Kankal, E Uzlu Water resources 41 (6), 649-665, 2014 | 8 | 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 | 6 | 2021 |
| Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini U Ergun Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 7 (2 …, 2019 | 4 | 2019 |
| 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 |
| Importance of hydropower for sustainable energy development in Turkey: Case of Coruh River M Kankal, S Nacar, E Uzlu Energy & Environment 27 (8), 905-918, 2016 | 2 | 2016 |
| Kıyıya dik katı madde hareketi sonucu oluşan yığılma profilinin fiziksel modelle incelenmesi E Uzlu Karadeniz Teknik Üniversitesi/Fen Bilimleri Enstitüsü, 2016 | 2 | 2016 |
| 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 (1), 245-260, 2020 | 1 | 2020 |
| Estimating Electric Energy Consumption in Turkey Using Artificial Neural Networks Optimized with Jaya Algorithm U Ergun, D Tayfun | 1 | |
