| A hybrid ARIMA and support vector machines model in stock price forecasting PF Pai, CS Lin Omega 33 (6), 497-505, 2005 | 1330 | 2005 |
| Support vector machines with simulated annealing algorithms in electricity load forecasting PF Pai, WC Hong Energy Conversion and Management 46 (17), 2669-2688, 2005 | 520 | 2005 |
| Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms PF Pai, WC Hong Electric Power Systems Research 74 (3), 417-425, 2005 | 500 | 2005 |
| Sustainable supply chain management using approximate fuzzy DEMATEL method KP Lin, ML Tseng, PF Pai Resources, Conservation and Recycling 128, 134-142, 2018 | 249 | 2018 |
| Software reliability forecasting by support vector machines with simulated annealing algorithms PF Pai, WC Hong Journal of Systems and Software 79 (6), 747-755, 2006 | 234 | 2006 |
| A survey of machine learning models in renewable energy predictions JP Lai, YM Chang, CH Chen, PF Pai Applied Sciences 10 (17), 5975, 2020 | 215 | 2020 |
| System reliability forecasting by support vector machines with genetic algorithms PF Pai Mathematical and Computer Modelling 43 (3-4), 262-274, 2006 | 165 | 2006 |
| Tourism demand forecasting using novel hybrid system PF Pai, KC Hung, KP Lin Expert Systems with applications 41 (8), 3691-3702, 2014 | 160 | 2014 |
| A support vector machine-based model for detecting top management fraud PF Pai, MF Hsu, MC Wang Knowledge-Based Systems 24 (2), 314-321, 2011 | 160 | 2011 |
| Time series forecasting by a seasonal support vector regression model PF Pai, KP Lin, CS Lin, PT Chang Expert Systems with Applications 37 (6), 4261-4265, 2010 | 151 | 2010 |
| Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression KP Lin, PF Pai Journal of Cleaner Production 134, 456-462, 2016 | 135 | 2016 |
| Predicting engine reliability by support vector machines WC Hong, PF Pai The International Journal of Advanced Manufacturing Technology 28, 154-161, 2006 | 129 | 2006 |
| An improved neural network model in forecasting arrivals WC Hong Annals of Tourism Research 32 (4), 1138-1141, 2005 | 129 | 2005 |
| Predicting vehicle sales by sentiment analysis of Twitter data and stock market values PF Pai, CH Liu IEEE Access 6, 57655-57662, 2018 | 128 | 2018 |
| Potential assessment of the support vector regression technique in rainfall forecasting WC Hong, PF Pai Water Resources Management 21, 495-513, 2007 | 119 | 2007 |
| Using machine learning models and actual transaction data for predicting real estate prices PF Pai, WC Wang Applied Sciences 10 (17), 5832, 2020 | 116 | 2020 |
| A recurrent support vector regression model in rainfall forecasting PF Pai, WC Hong Hydrological Processes: An International Journal 21 (6), 819-827, 2007 | 109 | 2007 |
| Revenue forecasting using a least-squares support vector regression model in a fuzzy environment KP Lin, PF Pai, YM Lu, PT Chang Information Sciences 220, 196-209, 2013 | 99 | 2013 |
| Forecasting concentrations of air pollutants by logarithm support vector regression with immune algorithms KP Lin, PF Pai, SL Yang Applied Mathematics and Computation 217 (12), 5318-5327, 2011 | 98 | 2011 |
| The application of support vector machines to forecast tourist arrivals in Barbados: An empirical study PF Pai, H Wei-Chiang, C Ping-Teng, C Chen-Tung International Journal of Management 23 (2), 375, 2006 | 93 | 2006 |
