| Artificial neural networks as an alternative tool in pine bark volume estimation MJ Diamantopoulou Computers and electronics in agriculture 48 (3), 235-244, 2005 | 211 | 2005 |
| Estimating tree bole volume using artificial neural network models for four species in Turkey R Özçelik, MJ Diamantopoulou, JR Brooks, HV Wiant Jr Journal of environmental management 91 (3), 742-753, 2010 | 177 | 2010 |
| Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models R Özçelik, MJ Diamantopoulou, F Crecente-Campo, U Eler Forest ecology and management 306, 52-60, 2013 | 164 | 2013 |
| The use of a neural network technique for the prediction of water quality parameters MJ Diamantopoulou, DM Papamichail, VZ Antonopoulos Operational Research 5, 115-125, 2005 | 154 | 2005 |
| Estimation of Weibull function parameters for modelling tree diameter distribution using least squares and artificial neural networks methods MJ Diamantopoulou, R Özçelik, F Crecente-Campo, Ü Eler Biosystems Engineering 133, 33-45, 2015 | 126 | 2015 |
| Modelling total volume of dominant pine trees in reforestations via multivariate analysis and artificial neural network models MJ Diamantopoulou, E Milios Biosystems engineering 105 (3), 306-315, 2010 | 86 | 2010 |
| Cascade correlation artificial neural networks for estimating missing monthly values of water quality parameters in rivers MJ Diamantopoulou, VZ Antonopoulos, DM Papamichail Water resources management 21, 649-662, 2007 | 76 | 2007 |
| Evaluation of different modeling approaches for total tree-height estimation in Mediterranean Region of Turkey MJ Diamantopoulou, R Özçelik Forest Systems 21 (3), 383-397, 2012 | 67 | 2012 |
| Artificial neural network models: an alternative approach for reliable aboveground pine tree biomass prediction R Özçelık, MJ Diamantopoulou, M Eker, N Gürlevık Forest Science 63 (3), 291-302, 2017 | 47 | 2017 |
| Performance evaluation of artificial neural networks in estimating reference evapotranspiration with minimal meteorological data. MJ Diamantopoulou, PE Georgiou, DM Papamichail | 46 | 2011 |
| Tree-bole volume estimation on standing pine trees using cascade correlation artificial neural network models MJ Diamantopoulou Agricultural Engineering International: CIGR Journal, 2006 | 42 | 2006 |
| Tree-bark volume prediction via machine learning: A case study based on black alder’s tree-bark production MJ Diamantopoulou, R Özçelik, H Yavuz Computers and Electronics in Agriculture 151, 431-440, 2018 | 41 | 2018 |
| Estimating breast height diameter and volume from stump diameter for three economically important species in Turkey R Özçelík, JR Brooks, MJ Diamantopoulou, HV Wiant Jr Scandinavian Journal of Forest Research 25 (1), 32-45, 2010 | 41 | 2010 |
| Predicting fir trees stem diameters using artificial neural network models MJ Diamantopoulou Southern African Forestry Journal 205 (1), 39-44, 2005 | 39 | 2005 |
| Filling gaps in diameter measurements on standing tree boles in the urban forest of Thessaloniki, Greece MJ Diamantopoulou Environmental Modelling & Software 25 (12), 1857-1865, 2010 | 35 | 2010 |
| Evaluation of potential modeling approaches for Scots pine stem diameter prediction in north-eastern Turkey R Özçelik, MJ Diamantopoulou, G Trincado Computers and Electronics in Agriculture 162, 773-782, 2019 | 30 | 2019 |
| Comparative study of standard and modern methods for estimating tree bole volume of three species in Turkey R Özçelik, MJ Diamantopoulou, HV Wiant Jr, JR Brooks Forest Products Journal 58 (6), 73, 2008 | 29 | 2008 |
| Employing artificial neural network for effective biomass prediction: An alternative approach ŞT Güner, MJ Diamantopoulou, KP Poudel, A Çömez, R Özçelik Computers and Electronics in Agriculture 192, 106596, 2022 | 25 | 2022 |
| The use of tree crown variables in over-bark diameter and volume prediction models R Özçelik, MJ Diamantopoulou, JR Brooks iForest-Biogeosciences and Forestry 7 (3), 132, 2014 | 25 | 2014 |
| Assessing a reliable modeling approach of features of trees through neural network models for sustainable forests MJ Diamantopoulou Sustainable Computing: Informatics and Systems 2 (4), 190-197, 2012 | 23 | 2012 |
