| Hydrodynamics and mass transfer characteristics in an internal loop airlift reactor with different spargers L Luo, F Liu, Y Xu, J Yuan Chemical engineering journal 175, 494-504, 2011 | 88 | 2011 |
| Process monitoring with global–local preserving projections L Luo Industrial & Engineering Chemistry Research 53 (18), 7696-7705, 2014 | 68 | 2014 |
| Quality prediction and quality-relevant monitoring with multilinear PLS for batch processes L Luo, S Bao, J Mao, D Tang Chemometrics and Intelligent Laboratory Systems 150, 9-22, 2016 | 55 | 2016 |
| Nonlinear process monitoring based on kernel global–local preserving projections L Luo, S Bao, J Mao, D Tang Journal of Process Control 38, 11-21, 2016 | 53 | 2016 |
| Hilbert–Huang transform, Hurst and chaotic analysis based flow regime identification methods for an airlift reactor L Luo, Y Yan, P Xie, J Sun, Y Xu, J Yuan Chemical engineering journal 181, 570-580, 2012 | 51 | 2012 |
| An improved iterative FIR state estimator and its applications S Zhao, YS Shmaliy, CK Ahn, L Luo IEEE Transactions on Industrial Informatics 16 (2), 1003-1012, 2019 | 47 | 2019 |
| Fault detection and diagnosis based on sparse PCA and two-level contribution plots L Luo, S Bao, J Mao, D Tang Industrial & Engineering Chemistry Research 56 (1), 225-240, 2017 | 47 | 2017 |
| Sparse robust principal component analysis with applications to fault detection and diagnosis L Luo, S Bao, C Tong Industrial & Engineering Chemistry Research 58 (3), 1300-1309, 2019 | 44 | 2019 |
| Hydrodynamics and mass transfer characteristics in an internal loop airlift reactor with sieve plates L Luo, J Yuan, P Xie, J Sun, W Guo chemical engineering research and design 91 (12), 2377-2388, 2013 | 44 | 2013 |
| Batch process monitoring with tensor global–local structure analysis L Luo, S Bao, Z Gao, J Yuan Industrial & Engineering Chemistry Research 52 (50), 18031-18042, 2013 | 43 | 2013 |
| Improved fault detection and diagnosis using sparse global-local preserving projections S Bao, L Luo, J Mao, D Tang Journal of Process Control 47, 121-135, 2016 | 38 | 2016 |
| Creep deformation and damage behavior of reactor pressure vessel under core meltdown scenario JF Mao, JW Zhu, SY Bao, LJ Luo, ZL Gao International Journal of Pressure Vessels and Piping 139, 107-116, 2016 | 37 | 2016 |
| Nonlocal and local structure preserving projection and its application to fault detection L Luo, S Bao, J Mao, D Tang Chemometrics and Intelligent Laboratory Systems 157, 177-188, 2016 | 33 | 2016 |
| Phase partition and phase-based process monitoring methods for multiphase batch processes with uneven durations L Luo, S Bao, J Mao, D Tang Industrial & Engineering Chemistry Research 55 (7), 2035-2048, 2016 | 32 | 2016 |
| Experimental study on creep-fatigue behaviors of chinese P92 steel with consideration of several important factors J Mao, X Li, D Wang, F Zhong, L Luo, S Bao, Z Ding International Journal of Fatigue 142, 105900, 2021 | 28 | 2021 |
| Fuzzy phase partition and hybrid modeling based quality prediction and process monitoring methods for multiphase batch processes L Luo, S Bao, J Mao, D Tang, Z Gao Industrial & Engineering Chemistry Research 55 (14), 4045-4058, 2016 | 28 | 2016 |
| Study on the aeroelastic responses of a wind turbine using a coupled multibody-FVW method D Tang, S Bao, L Luo, J Mao, B Lv, H Guo Energy 141, 2300-2313, 2017 | 27 | 2017 |
| Batch process monitoring with GTucker2 model L Luo, S Bao, Z Gao, J Yuan Industrial & Engineering Chemistry Research 53 (39), 15101-15110, 2014 | 27 | 2014 |
| Hierarchical monitoring of industrial processes for fault detection, fault grade evaluation, and fault diagnosis L Luo, RJ Lovelett, BA Ogunnaike AIChE Journal 63 (7), 2781-2795, 2017 | 26 | 2017 |
| Knowledge-data-integrated sparse modeling for batch process monitoring L Luo, S Bao Chemical Engineering Science 189, 221-232, 2018 | 25 | 2018 |
