OOIR: Observatory of International Research

Papers

(The H4-Index of Computers & Chemical Engineering is 33. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Process systems engineering – The generation next?	151
Recent trends on hybrid modeling for Industry 4.0	139
Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance	97
Green hydrogen for industrial sector decarbonization: Costs and impacts on hydrogen economy in qatar	97
An analysis of process fault diagnosis methods from safety perspectives	94
Recent developments on sewage sludge pyrolysis and its kinetics: Resources recovery, thermogravimetric platforms, and innovative prospects	86
A review on robust M-estimators for regression analysis	86
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation	73
Power-to-X: A review and perspective	66
Perspectives on the integration between first-principles and data-driven modeling	65
A tutorial review of neural network modeling approaches for model predictive control	60
Reinforcement learning approach to autonomous PID tuning	59
Performance prediction of trace metals and cod in wastewater treatment using artificial neural network	59
Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling	57
Real-time optimization using reinforcement learning	53
An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems	51
Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective	49
One step forward for smart chemical process fault detection and diagnosis	45
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)	43
Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems	42
Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks	41
Modeling and simulation for design and analysis of membrane-based separation processes	41
Biomass waste-to-energy supply chain optimization with mobile production modules	39
The water-energy-food-land nexus at the sugarcane-to-bioenergy supply chain: A sustainable network design model	37
Modeling phosphorous dynamics in a wastewater treatment process using Bayesian optimized LSTM	36

Prediction of methane hydrate formation conditions in salt water using machine learning algorithms	36
Multiscale modeling of dendrite formation in lithium-ion batteries	36
Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity	35
Environmental impacts of the future German energy system from integrated energy systems optimization and dynamic life cycle assessment	35
Smart process analytics for predictive modeling	35
Multi objective optimization of MSF and MSF-TVC desalination systems with using the surplus low-pressure steam (an energy, exergy and economic analysis)	34
Fouling control and modeling in reverse osmosis for seawater desalination: A review	34
A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems	33
Bayesian optimization with reference models: A case study in MPC for HVAC central plants	33
Comparative analysis of conventional steam methane reforming and PdAu membrane reactor for the hydrogen production	33
Cost-optimal pathways towards net-zero chemicals and plastics based on a circular carbon economy	33