Year |
Citation |
Score |
2020 |
Kammammettu S, Li Z. Two-Stage Robust Optimization of Water Treatment Network Design and Operations under Uncertainty Industrial & Engineering Chemistry Research. 59: 1218-1233. DOI: 10.1021/Acs.Iecr.9B05365 |
0.447 |
|
2020 |
Mohankumar Y, Li Z, Huang B. Integrated well pad development scheduling with steam injection control in steam-assisted gravity drainage Journal of Process Control. 89: 45-57. DOI: 10.1016/J.Jprocont.2020.03.008 |
0.437 |
|
2020 |
Rahal S, Papageorgiou DJ, Li Z. Hybrid Strategies using Linear and Piecewise-Linear Decision Rules for Multistage Adaptive Linear Optimization European Journal of Operational Research. DOI: 10.1016/J.Ejor.2020.08.054 |
0.377 |
|
2020 |
Rahal S, Li Z, Papageorgiou DJ. Proactive and reactive scheduling of the steelmaking and continuous casting process through adaptive robust optimization Computers & Chemical Engineering. 133: 106658. DOI: 10.1016/J.Compchemeng.2019.106658 |
0.426 |
|
2020 |
Yuan Y, Li Z, Huang B. Oil sands extraction plant debottlenecking: an optimization approach Optimization Letters. 14: 1-13. DOI: 10.1007/S11590-018-1349-4 |
0.49 |
|
2019 |
McAllister J, Li Z, Liu J, Simonsmeier U. Erythropoietin Dose Optimization for Anemia in Chronic Kidney Disease Using Recursive Zone Model Predictive Control Ieee Transactions On Control Systems and Technology. 27: 1181-1193. DOI: 10.1109/Tcst.2018.2803052 |
0.372 |
|
2019 |
Subraveti SG, Li Z, Prasad V, Rajendran A. Machine Learning-Based Multiobjective Optimization of Pressure Swing Adsorption Industrial & Engineering Chemistry Research. 58: 20412-20422. DOI: 10.1021/Acs.Iecr.9B04173 |
0.419 |
|
2019 |
Shen W, Li Z, Huang B, Jan NM. Chance Constrained Model Predictive Control for SAGD Process using Robust Optimization Approximation Industrial & Engineering Chemistry Research. 58: 11407-11418. DOI: 10.1021/Acs.Iecr.8B03207 |
0.503 |
|
2019 |
Mohankumar Y, Li Z, Huang B. Steam allocation and production optimization in SAGD reservoir under steam-to-oil ratio uncertainty Journal of Petroleum Science and Engineering. 183: 106456. DOI: 10.1016/J.Petrol.2019.106456 |
0.49 |
|
2019 |
Shahandeh H, Nasab FM, Li Z. Multistage stochastic capacity planning of partially upgraded bitumen production with hybrid solution method Optimization and Engineering. 20: 1193-1226. DOI: 10.1007/S11081-019-09426-5 |
0.446 |
|
2019 |
Nasab FM, Li Z. Multistage adaptive optimization using hybrid scenario and decision rule formulation Aiche Journal. 65. DOI: 10.1002/Aic.16764 |
0.375 |
|
2018 |
Nasab FM, Shahandeh H, Li Z. Strategic Planning of Steam Assisted Gravity Drainage Reservoir Development under Reservoir Production and Oil Price Uncertainty Industrial & Engineering Chemistry Research. 57: 9513-9526. DOI: 10.1021/Acs.Iecr.8B00742 |
0.381 |
|
2018 |
Kammammettu S, Li Z. Multistage Adaptive Optimization for Steelmaking and Continuous Casting Scheduling under Processing Time Uncertainty Ifac-Papersonline. 51: 262-267. DOI: 10.1016/J.Ifacol.2018.09.429 |
0.462 |
|
2018 |
Shahandeh H, Nasab FM, Li Z. Reprint of: Expansion development planning of thermocracking-based bitumen upgrading plant under uncertainty Computers & Chemical Engineering. 116: 352-367. DOI: 10.1016/J.Compchemeng.2018.10.014 |
0.413 |
|
2018 |
Shahandeh H, Nasab FM, Li Z. Expansion development planning of thermocracking-based bitumen upgrading plant under uncertainty Computers & Chemical Engineering. 111: 225-240. DOI: 10.1016/J.Compchemeng.2018.01.007 |
0.413 |
|
2018 |
Arifin BMS, Li Z, Shah SL, Meyer GA, Colin A. A novel data-driven leak detection and localization algorithm using the Kantorovich distance Computers & Chemical Engineering. 108: 300-313. DOI: 10.1016/J.Compchemeng.2017.09.022 |
0.308 |
|
2018 |
Yuan Y, Li Z, Huang B. Nonlinear robust optimization for process design Aiche Journal. 64: 481-494. DOI: 10.1002/Aic.15950 |
0.49 |
|
2017 |
Shahandeh H, Li Z. Design of Bitumen Upgrading and Utility Plant through Integrated Optimization Industrial & Engineering Chemistry Research. 56: 2107-2126. DOI: 10.1021/Acs.Iecr.6B03420 |
0.346 |
|
2017 |
Shahandeh H, Li Z. Optimal design of bitumen upgrading facility with CO 2 reduction Computers & Chemical Engineering. 106: 106-121. DOI: 10.1016/J.Compchemeng.2017.06.001 |
0.366 |
|
2016 |
Wang Z, Li Z, Feng Y, Rong G. Crude-Oil Operations under Uncertainty: A Continuous-Time Rescheduling Framework and a Simulation Environment for Validation Industrial & Engineering Chemistry Research. 55: 11383-11401. DOI: 10.1021/Acs.Iecr.6B01108 |
0.378 |
|
2016 |
Shahandeh H, Li Z. Modeling and Optimization of the Upgrading and Blending Operations of Oil Sands Bitumen Energy & Fuels. 30: 5202-5213. DOI: 10.1021/Acs.Energyfuels.6B00037 |
0.426 |
|
2016 |
Shahandeh H, Rahim S, Li Z. Strategic optimization of the oil sands development with SAGD: Drainage area arrangement and development planning Journal of Petroleum Science and Engineering. 137: 172-184. DOI: 10.1016/J.Petrol.2015.11.023 |
0.384 |
|
2016 |
Li Z. Linear programming-based scenario reduction using transportation distance Computers and Chemical Engineering. 88: 50-58. DOI: 10.1016/J.Compchemeng.2016.02.005 |
0.455 |
|
2016 |
Yuan Y, Li Z, Huang B. Robust optimization under correlated uncertainty: Formulations and computational study Computers and Chemical Engineering. 85: 58-71. DOI: 10.1016/J.Compchemeng.2015.10.017 |
0.487 |
|
2016 |
Yan W, Guo P, gong L, Li Z. Nonlinear and robust statistical process monitoring based on variant autoencoders Chemometrics and Intelligent Laboratory Systems. 158: 31-40. DOI: 10.1016/J.Chemolab.2016.08.007 |
0.324 |
|
2016 |
Yuan Y, Li Z, Huang B. Robust optimization approximation for joint chance constrained optimization problem Journal of Global Optimization. 1-23. DOI: 10.1007/S10898-016-0438-0 |
0.492 |
|
2016 |
Wang Z, Li Z, Feng Y, Rong G. Integrated short‐term scheduling and production planning in an ethylene plant based on Lagrangian decomposition Canadian Journal of Chemical Engineering. 94: 1723-1739. DOI: 10.1002/Cjce.22544 |
0.409 |
|
2015 |
Li Z, Li Z. Chance Constrained Planning and Scheduling under Uncertainty using Robust Optimization Approximation Ifac-Papersonline. 48: 1156-1161. DOI: 10.1016/J.Ifacol.2015.09.124 |
0.524 |
|
2015 |
Rahim S, Li Z. Well placement optimization with geological uncertainty reduction Ifac Proceedings Volumes (Ifac-Papersonline). 48: 57-62. DOI: 10.1016/J.Ifacol.2015.08.157 |
0.488 |
|
2015 |
Li Z, Floudas CA. Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: II. Sequential reduction Computers and Chemical Engineering. DOI: 10.1016/J.Compchemeng.2015.05.010 |
0.625 |
|
2015 |
Li Z, Li Z. Optimal robust optimization approximation for chance constrained optimization problem Computers & Chemical Engineering. 74: 89-99. DOI: 10.1016/J.Compchemeng.2015.01.003 |
0.514 |
|
2015 |
Rahim S, Li Z, Trivedi J. Reservoir Geological Uncertainty Reduction: an Optimization-Based Method Using Multiple Static Measures Mathematical Geosciences. 47: 373-396. DOI: 10.1007/S11004-014-9575-5 |
0.413 |
|
2015 |
Li Z. Experimental Design and Process Optimization, by Maria IsabelRodrigues and Antonio FranciscoEmma, CRC Press, 2014, 302 pages, ISBN 978-1-4822-9955-7 The Canadian Journal of Chemical Engineering. 94: 402-402. DOI: 10.1002/Cjce.22379 |
0.347 |
|
2015 |
Yuan Y, Khatibisepehr S, Huang B, Li Z. Bayesian method for simultaneous gross error detection and data reconciliation Aiche Journal. 61: 3232-3248. DOI: 10.1002/Aic.14864 |
0.306 |
|
2014 |
Li Z, Floudas CA. A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: III. Improving the Quality of Robust Solutions. Industrial & Engineering Chemistry Research. 53: 13112-13124. PMID 25678740 DOI: 10.1021/Ie501898N |
0.609 |
|
2014 |
Li Z, Floudas CA. Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: I. Single reduction via mixed integer linear optimization Computers and Chemical Engineering. 70: 50-66. DOI: 10.1016/J.Compchemeng.2014.03.019 |
0.593 |
|
2014 |
Ye Y, Li J, Li Z, Tang Q, Xiao X, Floudas CA. Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty Computers and Chemical Engineering. 66: 165-185. DOI: 10.1016/J.Compchemeng.2014.02.028 |
0.647 |
|
2013 |
Baliban RC, Sakellari D, Li Z, Guzman YA, Garcia BA, Floudas CA. Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high-throughput proteomic analysis and mixed-integer linear optimization. Journal of Clinical Periodontology. 40: 131-9. PMID 23190455 DOI: 10.1111/Jcpe.12037 |
0.712 |
|
2013 |
Ye Y, Li J, Li Z, Tang Q, Xiao X, Floudas CA. Medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty Computer Aided Chemical Engineering. 32: 571-576. DOI: 10.1016/B978-0-444-63234-0.50096-8 |
0.653 |
|
2012 |
Li Z, Floudas CA. A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: II. Probabilistic Guarantees on Constraint Satisfaction. Industrial & Engineering Chemistry Research. 51: 6769-6788. PMID 23329868 DOI: 10.1021/Ie201651S |
0.621 |
|
2012 |
Baliban RC, Sakellari D, Li Z, DiMaggio PA, Garcia BA, Floudas CA. Novel protein identification methods for biomarker discovery via a proteomic analysis of periodontally healthy and diseased gingival crevicular fluid samples. Journal of Clinical Periodontology. 39: 203-12. PMID 22092770 DOI: 10.1111/J.1600-051X.2011.01805.X |
0.682 |
|
2012 |
Li Z, Ierapetritou MG. Capacity expansion planning through augmented Lagrangian optimization and scenario decomposition Aiche Journal. 58: 871-883. DOI: 10.1002/Aic.12614 |
0.639 |
|
2011 |
Li Z, Ding R, Floudas CA. A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: I. Robust Linear Optimization and Robust Mixed Integer Linear Optimization. Industrial & Engineering Chemistry Research. 50: 10567-10603. PMID 21935263 DOI: 10.1021/Ie200150P |
0.62 |
|
2011 |
Shah NK, Li Z, Ierapetritou MG. Petroleum refining operations: Key issues, advances, and opportunities Industrial and Engineering Chemistry Research. 50: 1161-1170. DOI: 10.1021/Ie1010004 |
0.535 |
|
2010 |
Li Z, Ierapetritou MG. Production planning and scheduling integration through augmented Lagrangian optimization Computers & Chemical Engineering. 34: 996-1006. DOI: 10.1016/J.Compchemeng.2009.11.016 |
0.666 |
|
2010 |
Li Z, Ierapetritou MG. Rolling horizon based planning and scheduling integration with production capacity consideration Chemical Engineering Science. 65: 5887-5900. DOI: 10.1016/J.Ces.2010.08.010 |
0.645 |
|
2010 |
Li Z, Ierapetritou MG. A method for solving the general parametric linear complementarity problem Annals of Operations Research. 181: 485-501. DOI: 10.1007/S10479-010-0770-6 |
0.593 |
|
2009 |
Li Z, Ierapetritou M. Integration of Planning and Scheduling and Consideration of Uncertainty in Process Operations Computer-Aided Chemical Engineering. 27: 87-94. DOI: 10.1016/S1570-7946(09)70235-4 |
0.555 |
|
2009 |
Li Z, Ierapetritou MG. Integrated production planning and scheduling using a decomposition framework Chemical Engineering Science. 64: 3585-3597. DOI: 10.1016/J.Ces.2009.04.047 |
0.63 |
|
2008 |
Li Z, Ierapetritou MG. Robust optimization for process scheduling under uncertainty Industrial & Engineering Chemistry Research. 47: 4148-4157. DOI: 10.1021/Ie071431U |
0.669 |
|
2008 |
Li Z, Ierapetritou MG. Process scheduling under uncertainty: Review and challenges Computers & Chemical Engineering. 32: 715-727. DOI: 10.1016/J.Compchemeng.2007.03.001 |
0.587 |
|
2008 |
Li Z, Ierapetritou MG. Reactive scheduling using parametric programming Aiche Journal. 54: 2610-2623. DOI: 10.1002/Aic.11593 |
0.618 |
|
2007 |
Li Z, Ierapetritou MG. A New Methodology for the General Multiparametric Mixed-Integer Linear Programming (MILP) Problems Industrial & Engineering Chemistry Research. 46: 5141-5151. DOI: 10.1021/Ie070148S |
0.625 |
|
2007 |
Li Z, Ierapetritou MG. Process scheduling under uncertainty using multiparametric programming Aiche Journal. 53: 3183-3203. DOI: 10.1002/Aic.11351 |
0.62 |
|
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