OOIR: Observatory of International Research

Papers

(The H4-Index of Computers & Chemical Engineering is 36. 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 2021-04-01 to 2025-04-01.)

Article	Citations
An evolutionary study on technologies for polyethylene terephthalate waste recycling using natural language processing	180
Optimal chemical reaction pathway for palm process residue recovery using Process Graph (P-graph) framework	171
Closed-loop identification of MIMO systems: An excitation-free approach	114
Success-Based Optimization Algorithm (SBOA): Development and enhancement of a metaheuristic optimizer	108
A two-echelon sustainable multi-route location routing problem for biomass supply chain network design considering disruption	102
Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process	100
Simultaneous real-time estimation of maximum substrate uptake capacity and yield coefficient in induced microbial cultures	88
The optimal experiment? Influence of solution strategies on model-based optimal experimental design	81
A Novel Weighted Data-Driven Robust Optimization Approach for Creating Adjustable Uncertainty Sets	80
Optimal sensor placement for contamination detection and identification in water distribution networks under demand uncertainty	66
A multi-objective robust scenario-based stochastic chance constrained programming model for sustainable closed-loop agri-food supply chain	66
Retraction notice to “Economic, reliability, environmental and operation factors to achieve optimal operations of multiple microgrids” [Computers & Chemical Engineering 176 (2023) 108279]	65
A risk-based maintenance planning in process industry using a bi-objective robust optimization model	55
Optimal contract selection for contract manufacturing organizations in the secondary pharmaceutical industry	51
Design and implementation of an Autonomous Systems Training Environment framework for control algorithm evaluation in autonomous plant operation	49
Linear hybrid models of distillation towers	48
Taking advantage of order consolidation in simultaneous batching and scheduling of multiproduct batch plants	46
Connected mechanistic process modeling to predict a commercial biopharmaceutical downstream process	45
Graph neural networks with molecular segmentation for property prediction and structure–property relationship discovery	44
Multi-fidelity data-driven design and analysis of reactor and tube simulations	43
A recurrent reinforcement learning strategy for optimal scheduling of partially observable job-shop and flow-shop batch chemical plants under uncertainty	43
Advancing precision fermentation: Minimizing power demand of industrial scale bioreactors through mechanistic modelling	43
Deep weighted joint distribution adaption network for fault diagnosis of blast furnace ironmaking process	42
Design and application of data driven economic model predictive control for a rotational molding process	41
A modular-hierarchical framework for the pressure-driven simulation of heat exchanger dynamics	41

Importance of pressure-selection in pressure-swing distillation	40
Handling Type-I and Type-II endogenous uncertainties in simultaneous production planning and condition-based maintenance optimization in continuous production	40
Evaluating the potential for optimization of axial back-mixing in continuous pharmaceutical manufacturing	40
Formulations for automatic optimization of decommissioning timing in offshore oil and gas field development planning	40
A novel time discretization method for solving complex multi-energy system design and operation problems with high penetration of renewable energy	39
A detailed MILP model and an ad hoc decomposition algorithm for the operational optimization of gas transport networks	39
Early detection of closed-loop slugging patterns in offshore oil wells with unsupervised learning approaches	39
An integrated reinforcement learning framework for simultaneous generation, design, and control of chemical process flowsheets	37
Anomaly detection for drug product manufacturing considering data limitations and shifts: A case study on industrial freeze-dryers	37
A Comparison of Strategies to Embed Physics-Informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription	37
Biomass waste-to-energy supply chain optimization with mobile production modules	36
A grid view on the dynamics of processes participating in demand response programs	36
A Process Intensification synthesis framework for the design of dividing wall column systems	36
Challenges and opportunities of Solar thermal energy towards a sustainable chemical industry	36