| Review of recent research on data-based process monitoring Z Ge, Z Song, F Gao Industrial & Engineering Chemistry Research 52 (10), 3543-3562, 2013 | 1073 | 2013 |
| Survey on iterative learning control, repetitive control, and run-to-run control Y Wang, F Gao, FJ Doyle III Journal of process control 19 (10), 1589-1600, 2009 | 890 | 2009 |
| Sub‐PCA modeling and on‐line monitoring strategy for batch processes N Lu, F Gao, F Wang AIChE Journal 50 (1), 255-259, 2004 | 333 | 2004 |
| A fast estimation algorithm for lithium-ion battery state of health X Tang, C Zou, K Yao, G Chen, B Liu, Z He, F Gao Journal of Power Sources 396, 453-458, 2018 | 314 | 2018 |
| Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data J Zhu, Z Ge, Z Song, F Gao Annual Reviews in Control 46, 107-133, 2018 | 285 | 2018 |
| Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective X Lai, Q Chen, X Tang, Y Zhou, F Gao, Y Guo, R Bhagat, Y Zheng Etransportation 12, 100169, 2022 | 279 | 2022 |
| A survey on multistage/multiphase statistical modeling methods for batch processes Y Yao, F Gao Annual Reviews in Control 33 (2), 172-183, 2009 | 252 | 2009 |
| Computer modeling for injection molding H Zhou Part II: Simulation, Mathematical Models for the Filling and Packing …, 2013 | 237 | 2013 |
| Comparison of Ti/BDD and Ti/SnO2–Sb2O5 electrodes for pollutant oxidation X Chen, F Gao, G Chen Journal of Applied Electrochemistry 35, 185-191, 2005 | 236 | 2005 |
| Robust iterative learning control with applications to injection molding process F Gao, Y Yang, C Shao Chemical Engineering Science 56 (24), 7025-7034, 2001 | 228 | 2001 |
| Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system J Shi, F Gao, TJ Wu Journal of Process Control 15 (8), 907-924, 2005 | 224 | 2005 |
| High-performance Ti/BDD electrodes for pollutant oxidation X Chen, G Chen, F Gao, PL Yue Environmental science & technology 37 (21), 5021-5026, 2003 | 218 | 2003 |
| Industrial process identification and control design: step-test and relay-experiment-based methods T Liu, F Gao Springer Science & Business Media, 2011 | 186 | 2011 |
| A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging X Tang, Y Wang, C Zou, K Yao, Y Xia, F Gao Energy conversion and management 180, 162-170, 2019 | 184 | 2019 |
| Model migration neural network for predicting battery aging trajectories X Tang, K Liu, X Wang, F Gao, J Macro, WD Widanage IEEE Transactions on Transportation Electrification 6 (2), 363-374, 2020 | 177 | 2020 |
| Optimal guaranteed cost control of discrete-time uncertain systems with both state and input delays L Yu, F Gao Journal of the Franklin Institute 338 (1), 101-110, 2001 | 171 | 2001 |
| Iterative learning model predictive control for multi-phase batch processes Y Wang, D Zhou, F Gao Journal of Process Control 18 (6), 543-557, 2008 | 170 | 2008 |
| Fault-relevant principal component analysis (FPCA) method for multivariate statistical modeling and process monitoring C Zhao, F Gao Chemometrics and Intelligent Laboratory Systems 133, 1-16, 2014 | 165 | 2014 |
| Stage-based process analysis and quality prediction for batch processes N Lu, F Gao Industrial & engineering chemistry research 44 (10), 3547-3555, 2005 | 158 | 2005 |
| Adaptive control of the filling velocity of thermoplastics injection molding Y Yang, F Gao Control Engineering Practice 8 (11), 1285-1296, 2000 | 151 | 2000 |
Ridong ZhangHangzhou Dianzi UniversityVerified email at ust.hk
