Computers & Chemical Engineering

Papers
(The H4-Index of Computers & Chemical Engineering is 39. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Robust model predictive control with embedded multi-scenario closed-loop prediction179
A computationally efficient formulation of the governing equations for unit operation design124
Closed-loop robust steady-state target calculation for model predictive control113
Two-stage chance-constrained programming based on Gaussian mixture model and piecewise linear decision rule for refinery optimization102
A decentralized control strategy for improved batch tablet coating process operation92
Solution of large-scale supply chain models using graph sampling & coarsening91
Process plant layout optimization considering domino effects and safety devices in a large-scale chemical plant88
Computers and chemical engineering virtual special issue in honor of Professor George Stephanopoulos72
A MINLP approach to improve heat transfer in flat plates through the optimal distribution of nanoparticles70
Editorial Board68
A bilevel data-driven framework for robust optimization under uncertainty – applied to fluid catalytic cracking unit62
An optimization-free Fisher information driven approach for online design of experiments54
The economic study of centralised water reuse exchange system in the industrial park considering wastewater segregation53
Taking advantage of order consolidation in simultaneous batching and scheduling of multiproduct batch plants48
Simulation-based optimization of distillation processes using an extended cutting plane algorithm48
Environmental impacts of optimal designs of community energy systems under different CO2 footprints of electric grids47
Sunlight harvesting46
Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks46
Mathematical programming model for the optimal management of carbon intensity indicators in global supply chains45
Optimal design of offshore wind power farm in high resolution using geographical information system45
Biomass waste-to-energy supply chain optimization with mobile production modules45
Applying and dissecting LSTM neural networks and regularized learning for dynamic inferential modeling45
Multiperiod refinery optimization for mitigating the impact of process unit shutdowns44
A modular-hierarchical framework for the pressure-driven simulation of heat exchanger dynamics44
Simultaneous real-time estimation of maximum substrate uptake capacity and yield coefficient in induced microbial cultures43
Random field optimization43
A simulation-based model studying monoethanolamine and aprotic heterocyclic anion ionic liquid (AHA-IL) mixtures for carbon capture42
Process evaluation for the separation of acetonitrile-water using extractive distillation with deep eutectic solvents as entrainers42
A stock border compensation technique for gaseous energy scheduling in steel enterprises under uncertainty42
Physics Informed Piecewise Linear Neural Networks for Process Optimization42
A novel time discretization method for solving complex multi-energy system design and operation problems with high penetration of renewable energy42
Constrained model-free reinforcement learning for process optimization41
Integrated risk management and maintenance planning in Oil and Gas Supply Chain operations under market uncertainty41
Comparative assessment of chloride family hydrogen production cycles driven by a nuclear-geothermal energy system40
Dynamic simulation and analysis of dichloromethane-acetone, dichloromethane-trichloromethane and dichloromethane-toluene VOC mixture abatement systems under transient feed conditions40
COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information39
Sustainable retrofit of petrochemical energy systems under multiple uncertainties using the stochastic optimization method39
Advancing precision fermentation: Minimizing power demand of industrial scale bioreactors through mechanistic modelling39
A Process Intensification synthesis framework for the design of dividing wall column systems39
Hybrid modeling supported development of an industrial small-molecule flow chemistry process39
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