| PSO-based single multiplicative neuron model for time series prediction L Zhao, Y Yang Expert Systems with Applications 36 (2), 2805-2812, 2009 | 228 | 2009 |
| Pseudo nearest neighbor rule for pattern classification Y Zeng, Y Yang, L Zhao Expert Systems with Applications 36 (2), 3587-3595, 2009 | 128 | 2009 |
| Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach F Shen, L Zhao, W Du, W Zhong, F Qian Applied Energy 259, 114199, 2020 | 113 | 2020 |
| Automatically extracting T–S fuzzy models using cooperative random learning particle swarm optimization L Zhao, F Qian, Y Yang, Y Zeng, H Su Applied soft computing 10 (3), 938-944, 2010 | 107 | 2010 |
| Multiobjective optimization of ethylene cracking furnace system using self-adaptive multiobjective teaching-learning-based optimization K Yu, L While, M Reynolds, X Wang, JJ Liang, L Zhao, Z Wang Energy 148, 469-481, 2018 | 63 | 2018 |
| Operational optimization of industrial steam systems under uncertainty using dataDriven adaptive robust optimization L Zhao, C Ning, F You AIChE Journal 65 (7), e16500, 2019 | 55 | 2019 |
| Eliciting compact T–S fuzzy models using subtractive clustering and coevolutionary particle swarm optimization L Zhao, Y Yang, Y Zeng Neurocomputing 72 (10-12), 2569-2575, 2009 | 48 | 2009 |
| Tuning the structure and parameters of a neural network using cooperative binary-real particle swarm optimization L Zhao, F Qian Expert Systems with Applications 38 (5), 4972-4977, 2011 | 46 | 2011 |
| Modeling and optimization of a steam system in a chemical plant containing multiple direct drive steam turbines Z Li, W Du, L Zhao, F Qian Industrial & Engineering Chemistry Research 53 (27), 11021-11032, 2014 | 43 | 2014 |
| A data-driven approach for industrial utility systems optimization under uncertainty L Zhao, F You Energy 182, 559-569, 2019 | 40 | 2019 |
| Data-driven robust optimization for crude oil blending under uncertainty X Dai, X Wang, R He, W Du, W Zhong, L Zhao, F Qian Computers & Chemical Engineering 136, 106595, 2020 | 37 | 2020 |
| Nonparametric classification based on local mean and class statistics Y Zeng, Y Yang, L Zhao Expert Systems with Applications 36 (4), 8443-8448, 2009 | 35 | 2009 |
| Modeling and optimization of the steam turbine network of an ethylene plant LI Zeqiu, Z Liang, DU Wenli, Q Feng Chinese Journal of Chemical Engineering 21 (5), 520-528, 2013 | 34 | 2013 |
| Classification rule discovery with DE/QDE algorithm H Su, Y Yang, L Zhao Expert Systems with Applications 37 (2), 1216-1222, 2010 | 32 | 2010 |
| Data-driven adaptive robust optimization for energy systems in ethylene plant under demand uncertainty F Shen, L Zhao, M Wang, W Du, F Qian Applied Energy 307, 118148, 2022 | 27 | 2022 |
| Hybrid model of a cement rotary kiln using an improved attention-based recurrent neural network J Zheng, L Zhao, W Du ISA transactions 129, 631-643, 2022 | 25 | 2022 |
| A deep learning-based robust optimization approach for refinery planning under uncertainty C Wang, X Peng, C Shang, C Fan, L Zhao, W Zhong Computers & Chemical Engineering 155, 107495, 2021 | 25 | 2021 |
| Data-Driven Stochastic Robust Optimization for Industrial Energy System Considering Renewable Energy Penetration F Shen, L Zhao, W Du, W Zhong, X Peng, F Qian ACS Sustainable Chemistry & Engineering 10 (11), 3690-3703, 2022 | 20 | 2022 |
| A data-driven approach for crude oil scheduling optimization under product yield uncertainty X Dai, L Zhao, Z Li, W Du, W Zhong, R He, F Qian Chemical Engineering Science 246, 116971, 2021 | 20 | 2021 |
| Fault detection in time-varying chemical process through incremental principal component analysis Y Gao, X Wang, Z Wang, L Zhao Chemometrics and intelligent laboratory systems 158, 102-116, 2016 | 20 | 2016 |
