Consensus models for AHP group decision making under row geometric mean prioritization method Y Dong, G Zhang, WC Hong, Y Xu Decision Support Systems 49 (3), 281-289, 2010 | 595 | 2010 |
Support vector machines with simulated annealing algorithms in electricity load forecasting PF Pai, WC Hong Energy Conversion and Management 46 (17), 2669-2688, 2005 | 514 | 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 | 496 | 2005 |
Electric load forecasting by support vector model WC Hong Applied Mathematical Modelling 33 (5), 2444-2454, 2009 | 404 | 2009 |
Machine learning adoption in blockchain-based smart applications: The challenges, and a way forward S Tanwar, Q Bhatia, P Patel, A Kumari, PK Singh, WC Hong IEEE Access 8, 474-488, 2019 | 368 | 2019 |
Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model WC Hong Energy Conversion and Management 50 (1), 105-117, 2009 | 344 | 2009 |
Global competitiveness measurement for the tourism sector WC Hong Current issues in tourism 12 (2), 105-132, 2009 | 341 | 2009 |
Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm WC Hong Energy 36 (9), 5568-5578, 2011 | 323 | 2011 |
SVR with hybrid chaotic genetic algorithms for tourism demand forecasting WC Hong, Y Dong, LY Chen, SY Wei Applied Soft Computing 11 (2), 1881-1890, 2011 | 319 | 2011 |
Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm R Chen, CY Liang, WC Hong, DX Gu Applied Soft Computing 26, 435-443, 2015 | 295 | 2015 |
Rainfall forecasting by technological machine learning models WC Hong Applied Mathematics and Computation 200 (1), 41-57, 2008 | 285 | 2008 |
Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm WC Hong Neurocomputing 74 (12-13), 2096-2107, 2011 | 281 | 2011 |
Short term load forecasting based on feature extraction and improved general regression neural network model Y Liang, D Niu, WC Hong Energy 166, 653-663, 2019 | 267 | 2019 |
Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression GF Fan, LL Peng, WC Hong, F Sun Neurocomputing 173, 958-970, 2016 | 236 | 2016 |
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 | 233 | 2006 |
Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm Z Zhang, WC Hong Nonlinear dynamics 98 (2), 1107-1136, 2019 | 216 | 2019 |
Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm WC Hong, Y Dong, WY Zhang, LY Chen, BK Panigrahi International Journal of Electrical Power & Energy Systems 44 (1), 604-614, 2013 | 207 | 2013 |
Internet of things: Evolution, concerns and security challenges P Malhotra, Y Singh, P Anand, DK Bangotra, PK Singh, WC Hong Sensors 21 (5), 1809, 2021 | 200 | 2021 |
Forecasting urban traffic flow by SVR with continuous ACO WC Hong, Y Dong, F Zheng, CY Lai Applied Mathematical Modelling 35 (3), 1282-1291, 2011 | 199 | 2011 |
Competitiveness in the tourism sector: a comprehensive approach from Economic and Management points SWC Hong Springer science & business media, 2008 | 191 | 2008 |