| 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 | 642 | 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 | 521 | 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 | 504 | 2005 |
| 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 | 453 | 2019 |
| Electric load forecasting by support vector model WC Hong Applied Mathematical Modelling 33 (5), 2444-2454, 2009 | 419 | 2009 |
| Global competitiveness measurement for the tourism sector WC Hong Current issues in tourism 12 (2), 105-132, 2009 | 369 | 2009 |
| 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 | 359 | 2009 |
| 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 | 358 | 2015 |
| 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 | 351 | 2021 |
| Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm WC Hong Energy 36 (9), 5568-5578, 2011 | 338 | 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 | 337 | 2011 |
| Rainfall forecasting by technological machine learning models WC Hong Applied Mathematics and Computation 200 (1), 41-57, 2008 | 317 | 2008 |
| 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 | 309 | 2019 |
| Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm WC Hong Neurocomputing 74 (12-13), 2096-2107, 2011 | 308 | 2011 |
| 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 | 259 | 2016 |
| A survey on decentralized consensus mechanisms for cyber physical systems U Bodkhe, D Mehta, S Tanwar, P Bhattacharya, PK Singh, WC Hong Ieee Access 8, 54371-54401, 2020 | 245 | 2020 |
| 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 | 242 | 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 | 241 | 2019 |
| Applications of random forest in multivariable response surface for short-term load forecasting GF Fan, LZ Zhang, M Yu, WC Hong, SQ Dong International Journal of Electrical Power & Energy Systems 139, 108073, 2022 | 232 | 2022 |
| Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads Z Zhang, WC Hong Knowledge-Based Systems 228, 107297, 2021 | 227 | 2021 |
