| Kernel partial robust M-regression as a flexible robust nonlinear modeling technique RD Jia, ZZ Mao, YQ Chang, SN Zhang Chemometrics and Intelligent Laboratory Systems 100 (2), 91-98, 2010 | 43 | 2010 |
| Real-time product quality control for batch processes based on stacked least-squares support vector regression models S Zhang, F Wang, D He, R Jia Computers & chemical engineering 36, 217-226, 2012 | 37 | 2012 |
| Online quality prediction for cobalt oxalate synthesis process using least squares support vector regression approach with dual updating S Zhang, F Wang, D He, R Jia Control Engineering Practice 21 (10), 1267-1276, 2013 | 34 | 2013 |
| Final quality prediction method for new batch processes based on improved JYKPLS process transfer model F Chu, X Cheng, R Jia, F Wang, M Lei Chemometrics and Intelligent Laboratory Systems 183, 1-10, 2018 | 29 | 2018 |
| Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS R Jia, S Zhang, F You Computers & Chemical Engineering 140, 106943, 2020 | 27 | 2020 |
| Batch-to-batch control of particle size distribution in cobalt oxalate synthesis process based on hybrid model S Zhang, F Wang, D He, R Jia Powder technology 224, 253-259, 2012 | 27 | 2012 |
| Batch-to-batch optimization of cobalt oxalate synthesis process using modifier-adaptation strategy with latent variable model R Jia, Z Mao, F Wang, D He Chemometrics and Intelligent Laboratory Systems 140, 73-85, 2015 | 25 | 2015 |
| KPLS model based product quality control for batch processes J Runda, M Zhizhong, W Fuli Ciesc Journal 64 (4), 1332, 2013 | 24 | 2013 |
| Multi‐stage economic model predictive control for a gold cyanidation leaching process under uncertainty R Jia, F You AIChE Journal 67 (1), e17043, 2021 | 20 | 2021 |
| Self-tuning final product quality control of batch processes using kernel latent variable model R Jia, Z Mao, F Wang, D He Chemical Engineering Research and Design 94, 119-130, 2015 | 20 | 2015 |
| Data-driven-based self-healing control of abnormal feeding conditions in thickening–dewatering process R Jia, B Zhang, D He, Z Mao, F Chu Minerals Engineering 146, 106141, 2020 | 18 | 2020 |
| Self‐correcting modifier‐adaptation strategy for batch‐to‐batch optimization based on batch‐wise unfolded PLS model R Jia, Z Mao, F Wang The Canadian Journal of Chemical Engineering 94 (9), 1770-1782, 2016 | 17 | 2016 |
| Transfer learning for nonlinear batch process operation optimization F Chu, J Wang, X Zhao, S Zhang, T Chen, R Jia, G Xiong Journal of Process Control 101, 11-23, 2021 | 15 | 2021 |
| Rapid modeling method for performance prediction of centrifugal compressor based on model migration and SVM F Chu, B Dai, W Dai, R Jia, X Ma, F Wang IEEE Access 5, 21488-21496, 2017 | 15 | 2017 |
| Nonlinear soft sensor development for industrial thickeners using domain transfer functional-link neural network R Jia, S Zhang, F You Control Engineering Practice 113, 104853, 2021 | 14 | 2021 |
| Serial hybrid modelling for a gold cyanidation leaching plant J Zhang, ZZ Mao, RD Jia, DK He The Canadian Journal of Chemical Engineering 93 (9), 1624-1634, 2015 | 14 | 2015 |
| Comparison of alternative strategies estimating the kinetic reaction rate of the gold cyanidation leaching process J Zhang, Y Tan, S Li, Y Wang, R Jia ACS omega 4 (22), 19880-19894, 2019 | 12 | 2019 |
| Sequential and orthogonalized partial least-squares model based real-time final quality control strategy for batch processes R Jia, Z Mao, F Wang, D He Industrial & Engineering Chemistry Research 55 (19), 5654-5669, 2016 | 12 | 2016 |
| A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid S Zhang, R Jia, H Pan, Y Cao Applied Energy 348, 121490, 2023 | 11 | 2023 |
| Modeling method of online robust least-squares-support-vector regression SN Zhang, FL Wang, DK He, RD Jia Control Theory & Applications 28 (11), 1601-1606, 2011 | 11 | 2011 |
