| PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization DZ Antanasijević, VV Pocajt, DS Povrenović, MĐ Ristić, AA Perić-Grujić Science of the Total Environment 443, 511-519, 2013 | 195 | 2013 |
| Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis D Antanasijević, V Pocajt, A Perić-Grujić, M Ristić Journal of Hydrology 519, 1895-1907, 2014 | 125 | 2014 |
| The forecasting of municipal waste generation using artificial neural networks and sustainability indicators D Antanasijević, V Pocajt, I Popović, N Redžić, M Ristić Sustainability science 8, 37-46, 2013 | 122 | 2013 |
| Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study D Antanasijević, V Pocajt, D Povrenović, A Perić-Grujić, M Ristić Environmental Science and Pollution Research 20, 9006-9013, 2013 | 106 | 2013 |
| Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis VM Adamović, DZ Antanasijević, MĐ Ristić, AA Perić-Grujić, VV Pocajt Environmental Science and Pollution Research 24 (1), 299-311, 2017 | 85 | 2017 |
| A differential multi-criteria analysis for the assessment of sustainability performance of European countries: Beyond country ranking D Antanasijević, V Pocajt, M Ristić, A Perić-Grujić Journal of cleaner production 165, 213-220, 2017 | 84 | 2017 |
| Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis DZ Antanasijević, MĐ Ristić, AA Perić-Grujić, VV Pocajt International Journal of Greenhouse Gas Control 20, 244-253, 2014 | 79 | 2014 |
| Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks D Antanasijević, V Pocajt, M Ristić, A Perić-Grujić Energy 84, 816-824, 2015 | 77 | 2015 |
| A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter-and extrapolation performance with inputs' significance analysis AŠ Tomić, D Antanasijević, M Ristić, A Perić-Grujić, V Pocajt Science of the Total Environment 610, 1038-1046, 2018 | 75 | 2018 |
| Forecasting of greenhouse gas emissions in Serbia using artificial neural networks D Radojević, V Pocajt, I Popović, A Perić-Grujić, M Ristić Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35 …, 2013 | 53 | 2013 |
| Using data mining to improve digital library services A Kovacevic, V Devedzic, V Pocajt The electronic library 28 (6), 829-843, 2010 | 50 | 2010 |
| Prediction of nitrogen oxides emissions at the national level based on optimized artificial neural network model LJ Stamenković, DZ Antanasijević, MĐ Ristić, AA Perić-Grujić, VV Pocajt Air Quality, Atmosphere & Health 10, 15-23, 2017 | 45 | 2017 |
| Multiple-input–multiple-output general regression neural networks model for the simultaneous estimation of traffic-related air pollutant emissions D Antanasijević, V Pocajt, A Perić-Grujić, M Ristić Atmospheric Pollution Research 9 (2), 388-397, 2018 | 44 | 2018 |
| An artificial neural network approach for the estimation of the primary production of energy from municipal solid waste and its application to the Balkan countries VM Adamović, DZ Antanasijević, AR Ćosović, MĐ Ristić, VV Pocajt Waste management 78, 955-968, 2018 | 39 | 2018 |
| Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River D Antanasijević, V Pocajt, A Perić-Grujić, M Ristić Neural Computing and Applications 32 (8), 3957-3966, 2020 | 35 | 2020 |
| An optimized artificial neural network model for the prediction of rate of hazardous chemical and healthcare waste generation at the national level VM Adamović, DZ Antanasijević, MĐ Ristić, AA Perić-Grujić, VV Pocajt Journal of Material Cycles and Waste Management 20, 1736-1750, 2018 | 35 | 2018 |
| Forecasting human exposure to PM10 at the national level using an artificial neural network approach DZ Antanasijević, MĐ Ristić, AA Perić‐Grujić, VV Pocajt Journal of Chemometrics 27 (6), 170-177, 2013 | 35 | 2013 |
| Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction A Šiljić Tomić, D Antanasijević, M Ristić, A Perić-Grujić, V Pocajt Environmental Science and Pollution Research 25, 9360-9370, 2018 | 31 | 2018 |
| Concentrations of selected trace elements in mineral and spring bottled waters on the Serbian market M Ristić, I Popović, V Pocajt, D Antanasijević, A Perić-Grujić Food Additives and Contaminants 4 (1), 6-14, 2011 | 28 | 2011 |
| Unsupervised classification and multi-criteria decision analysis as chemometric tools for the assessment of sediment quality: A case study of the Danube and Sava River DM Crnković, DZ Antanasijević, VV Pocajt, AA Perić-Grujić, D Antonović, ... Catena 144, 11-22, 2016 | 26 | 2016 |
