| Case studies on the use of neural networks in eutrophication modeling C Karul, S Soyupak, AF Çilesiz, N Akbay, E Germen Ecological modelling 134 (2-3), 145-152, 2000 | 271 | 2000 |
| Modelling of Leachate Organic Migration and Attenuation Below Sanitary Landfills F Sykes, Soyupak Water Resources Research 18 (1), 135-145, 1982 | 95* | 1982 |
| A three-dimensional water quality-macrophyte interaction model for shallow lakes AB Muhammetoğlu, S Soyupak Ecological Modelling 133 (3), 161-180, 2000 | 77 | 2000 |
| A neural network-based approach for calculating dissolved oxygen profiles in reservoirs S Soyupak, F Karaer, H Gürbüz, E Kivrak, E Sentürk, A Yazici Neural Computing & Applications 12, 166-172, 2003 | 76 | 2003 |
| Seasonal distribution of large phytoplankton in the Keban Dam Reservoir N Akbay, N Anul, S Yerli, S Soyupak, C Yurteri | 71 | 1999 |
| Impact assessment of different management scenarios on water quality of Porsuk river and dam system–Turkey A Muhammetoglu, H Muhammetoglu, S Oktas, L Ozgokcen, S Soyupak Water Resources Management 19, 199-210, 2005 | 49 | 2005 |
| Evaluation of eutrophication control strategies for the Keban Dam reservoir S Soyupak, L Mukhallalati, D Yemişen, A Bayar, C Yurteri Ecological Modelling 97 (1-2), 99-110, 1997 | 40 | 1997 |
| Development of water quality management strategies for the proposed Isikli Reservoir O Gunduz, S Soyupak, C Yurteri Water science and technology 37 (2), 369-376, 1998 | 39 | 1998 |
| Management of chlorine dosing rates in urban water distribution networks using online continuous monitoring and modeling IE Karadirek, S Kara, A Muhammetoglu, H Muhammetoglu, S Soyupak Urban Water Journal 13 (4), 345-359, 2016 | 35 | 2016 |
| Neural network models as a management tool in lakes C Karul, S Soyupak, C Yurteri Shallow Lakes’ 98: Trophic Interactions in Shallow Freshwater and Brackish …, 1999 | 35 | 1999 |
| Predicting dominant phytoplankton quantities in a reservoir by using neural networks H Gurbuz, E Kivrak, S Soyupak, SV Yerli Hydrobiologia 504, 133-141, 2003 | 34 | 2003 |
| On the usage of artificial neural networks in chlorine control applications for water distribution networks with high quality water S Soyupak, H Kilic, IE Karadirek, H Muhammetoglu Journal of Water Supply: Research and Technology—AQUA 60 (1), 51-60, 2011 | 26 | 2011 |
| Vulnerability of groundwater to pollution from agricultural diffuse sources: a case study H Muhammetoğlu, A Muhammetoğlu, S Soyupak Water Science and Technology 45 (9), 1-7, 2002 | 26 | 2002 |
| A comparison between neural network based and multiple regression models for chlorophyll-a estimation C Karul, S Soyupak Ecological Informatics: Understanding Ecology by Biologically-Inspired …, 2003 | 25 | 2003 |
| Fuzzy logic model to estimate seasonal pseudo steady state chlorophyll-a concentrations in reservoirs S Soyupak, DG Chen Environmental Modeling & Assessment 9, 51-59, 2004 | 21 | 2004 |
| A new approach to mathematical water quality modeling in reservoirs: neural networks C Karul, S Soyupak, E Germen | 18 | 1998 |
| ASSESSMENT OF EUTROPHICATION FOR KEBAN DAM-RESERVOIR S Soyupak, CF Gökçay, S Yerli, S Erden, N Akbay, AF Çilesiz | 15 | 1994 |
| Effects of operational parameters on the settling properties of activated sludge G Sürücü, S Soyupak Environmental Technology 10 (5), 471-478, 1989 | 15 | 1989 |
| Assessment of nitrogen excess in an agricultural area using a nitrogen balance approach H Muhammetoglu, A Muhammetoglu, S Soyupak Water Science and Technology 51 (3-4), 259-266, 2005 | 14 | 2005 |
| A review on formation and decay kinetics of trihalomethanes in water of different qualities A Al‐Omari, A Muhammetoglu, E Karadirek, A Jiries, M Batarseh, ... Clean–Soil, Air, Water 42 (12), 1687-1700, 2014 | 13 | 2014 |
Ayşe MuhammetoğluÇevre Mühendisliği Profesörü, Akdeniz ÜniversitesiE-mail confirmado em akdeniz.edu.tr
