| Flux balance analysis in the era of metabolomics JM Lee, EP Gianchandani, JA Papin Briefings in bioinformatics 7 (2), 140-150, 2006 | 369 | 2006 |
| Dynamic analysis of integrated signaling, metabolic, and regulatory networks J Min Lee, EP Gianchandani, JA Eddy, JA Papin PLoS computational biology 4 (5), e1000086, 2008 | 302 | 2008 |
| Constrained Bayesian state estimation–A comparative study and a new particle filter based approach X Shao, B Huang, JM Lee Journal of Process Control 20 (2), 143-157, 2010 | 164 | 2010 |
| Approximate dynamic programming-based approaches for input–output data-driven control of nonlinear processes JM Lee, JH Lee Automatica 41 (7), 1281-1288, 2005 | 159 | 2005 |
| An introduction to a dynamic plant-wide optimization strategy for an integrated plant T Tosukhowong, JM Lee, JH Lee, J Lu Computers & chemical engineering 29 (1), 199-208, 2004 | 113 | 2004 |
| Approximate dynamic programming strategies and their applicability for process control: A review and future directions JM Lee, JH Lee International Journal of Control, Automation, and Systems 2 (3), 263-278, 2004 | 110 | 2004 |
| Iterative learning model predictive control for constrained multivariable control of batch processes SK Oh, JM Lee Computers & Chemical Engineering 93, 284-292, 2016 | 103 | 2016 |
| Approximate dynamic programming based approach to process control and scheduling JH Lee, JM Lee Computers & chemical engineering 30 (10-12), 1603-1618, 2006 | 82 | 2006 |
| Choice of approximator and design of penalty function for an approximate dynamic programming based control approach JM Lee, NS Kaisare, JH Lee Journal of process control 16 (2), 135-156, 2006 | 78 | 2006 |
| Generalized orthogonal locality preserving projections for nonlinear fault detection and diagnosis JD Shao, G Rong, JM Lee Chemometrics and Intelligent Laboratory Systems 96 (1), 75-83, 2009 | 77 | 2009 |
| Learning a data-dependent kernel function for KPCA-based nonlinear process monitoring JD Shao, G Rong, JM Lee Chemical Engineering Research and Design 87 (11), 1471-1480, 2009 | 71 | 2009 |
| An approximate dynamic programming based approach to dual adaptive control JM Lee, JH Lee Journal of process control 19 (5), 859-864, 2009 | 71 | 2009 |
| Simulation based strategy for nonlinear optimal control: Application to a microbial cell reactor NS Kaisare, JM Lee, JH Lee International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2003 | 56 | 2003 |
| Robust leak detection and its localization using interval estimation for water distribution network Y Kim, SJ Lee, T Park, G Lee, JC Suh, JM Lee Computers & Chemical Engineering 92, 1-17, 2016 | 53 | 2016 |
| Stochastic iterative learning control for discrete linear time-invariant system with batch-varying reference trajectories SK Oh, JM Lee Journal of Process Control 36, 64-78, 2015 | 43 | 2015 |
| Fault detection and isolation of a benchmark wind turbine using the likelihood ratio test F Kiasi, J Prakash, SL Shah, JM Lee IFAC Proceedings Volumes 44 (1), 7079-7085, 2011 | 40 | 2011 |
| Real-time estimation of glucose concentration in algae cultivation system using Raman spectroscopy SK Oh, SJ Yoo, DH Jeong, JM Lee Bioresource technology 142, 131-137, 2013 | 39 | 2013 |
| Simulation-based optimization of multistage separation process in offshore oil and gas production facilities IH Kim, S Dan, H Kim, HR Rim, JM Lee, ES Yoon Industrial & Engineering Chemistry Research 53 (21), 8810-8820, 2014 | 34 | 2014 |
| Bayesian method for multirate data synthesis and model calibration X Shao, B Huang, JM Lee, F Xu, A Espejo AIChE Journal 57 (6), 1514-1525, 2011 | 34 | 2011 |
| Progress and challenges in control of chemical processes JH Lee, JM Lee Annual review of chemical and biomolecular engineering 5 (1), 383-404, 2014 | 33 | 2014 |
