| An overview of energy demand forecasting methods published in 2005–2015 I Ghalehkhondabi, E Ardjmand, GR Weckman, WA Young Energy Systems 8, 411-447, 2017 | 281 | 2017 |
| A survey of methodologies for the treatment of missing values within datasets: Limitations and benefits W Young, G Weckman, W Holland Theoretical Issues in Ergonomics Science 12 (1), 15-43, 2011 | 165 | 2011 |
| A neural network job-shop scheduler GR Weckman, CV Ganduri, DA Koonce Journal of Intelligent Manufacturing 19, 191-201, 2008 | 138 | 2008 |
| Water demand forecasting: review of soft computing methods I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman Environmental monitoring and assessment 189, 1-13, 2017 | 123 | 2017 |
| Modeling the reliability of repairable systems in the aviation industry GR Weckman, RL Shell, JH Marvel Computers & industrial engineering 40 (1-2), 51-63, 2001 | 107 | 2001 |
| Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials E Ardjmand, WA Young II, GR Weckman, OS Bajgiran, B Aminipour, ... Expert systems with applications 51, 49-58, 2016 | 105 | 2016 |
| A review of demand forecasting models and methodological developments within tourism and passenger transportation industry I Ghalehkhondabi, E Ardjmand, WA Young, GR Weckman Journal of Tourism Futures 5 (1), 75-93, 2019 | 101 | 2019 |
| Applying genetic algorithm to a new location and routing model of hazardous materials E Ardjmand, G Weckman, N Park, P Taherkhani, M Singh International Journal of Production Research 53 (3), 916-928, 2015 | 97 | 2015 |
| Use of artificial neural networks for predicting crude oil effect on carbon dioxide corrosion of carbon steels S Hernandez, G Weckman, V Ghai Corrosion 62 (06), 2006 | 70 | 2006 |
| Modeling microalgal abundance with artificial neural networks: Demonstration of a heuristic ‘Grey-Box’to deconvolve and quantify environmental influences DF Millie, GR Weckman, WA Young II, JE Ivey, HJ Carrick, GL Fahnenstiel Environmental Modelling & Software 38, 27-39, 2012 | 59 | 2012 |
| Defining, understanding, and addressing big data TJ Bihl, WA Young II, GR Weckman International Journal of Business Analytics (IJBAN) 3 (2), 1-32, 2016 | 52 | 2016 |
| An intelligent model to predict energy performances of residential buildings based on deep neural networks A Sadeghi, R Younes Sinaki, WA Young, GR Weckman Energies 13 (3), 571, 2020 | 51 | 2020 |
| An integrated stock market forecasting model using neural networks GR Weckman, S Lakshminarayanan, JH Marvel, A Snow International Journal of Business Forecasting and Marketing Intelligence 1 …, 2008 | 49 | 2008 |
| Modeling net ecosystem metabolism with an artificial neural network and Bayesian belief network WA Young II, DF Millie, GR Weckman, JS Anderson, DM Klarer, ... Environmental Modelling & Software 26 (10), 1199-1210, 2011 | 47 | 2011 |
| Using artificial intelligence for CyanoHAB niche modeling: discovery and visualization of Microcystis–environmental associations within western Lake Erie DF Millie, GR Weckman, GL Fahnenstiel, HJ Carrick, E Ardjmand, ... Canadian journal of fisheries and aquatic sciences 71 (11), 1642-1654, 2014 | 43 | 2014 |
| Decision making model to predict presence of coronary artery disease using neural network and C5. 0 decision tree E Ahmadi, GR Weckman, DT Masel Journal of Ambient Intelligence and Humanized Computing 9, 999-1011, 2018 | 41 | 2018 |
| Selective ensemble based on extreme learning machine and improved discrete artificial fish swarm algorithm for haze forecast X Zhu, Z Ni, M Cheng, F Jin, J Li, G Weckman Applied Intelligence 48, 1757-1775, 2018 | 41 | 2018 |
| Determining hall of fame status for major league baseball using an artificial neural network WA Young, WS Holland, GR Weckman Journal of Quantitative Analysis in Sports 4 (4), 2008 | 40 | 2008 |
| A hybrid artificial neural network, genetic algorithm and column generation heuristic for minimizing makespan in manual order picking operations E Ardjmand, I Ghalehkhondabi, WA Young II, A Sadeghi, GR Weckman, ... Expert Systems with Applications 159, 113566, 2020 | 37 | 2020 |
| A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach A Fallahtafti, E Ardjmand, WA Young Ii, GR Weckman Applied Soft Computing 111, 107685, 2021 | 35 | 2021 |
William A. Young IIAssociate Professor of Business Analytics, College of Business, Ohio UniversityVerified email at ohio.edu
