OOIR: Observatory of International Research

Papers

(The H4-Index of Computers & Chemical Engineering is 38. 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 2020-04-01 to 2024-04-01.)

Article	Citations
A review On reinforcement learning: Introduction and applications in industrial process control	257
Process systems engineering – The generation next?	130
A review on superstructure optimization approaches in process system engineering	114
Recent trends on hybrid modeling for Industry 4.0	109
Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models	103
A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis	95
Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study	95
A deep reinforcement learning approach for chemical production scheduling	90
Fault detection and diagnosis based on transfer learning for multimode chemical processes	85
Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance	78
Green hydrogen for industrial sector decarbonization: Costs and impacts on hydrogen economy in qatar	77
Recent developments on sewage sludge pyrolysis and its kinetics: Resources recovery, thermogravimetric platforms, and innovative prospects	74
A review on robust M-estimators for regression analysis	72
An analysis of process fault diagnosis methods from safety perspectives	70
Fault detection and identification using Bayesian recurrent neural networks	69
Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions	66
Stochastic data-driven model predictive control using gaussian processes	66
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation	64
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes	58
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems	57
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes	56
Optimization under uncertainty of the pharmaceutical supply chain in hospitals	52
Benchmark temperature microcontroller for process dynamics and control	51
Molecular insights through computational modeling of methylene blue adsorption onto low-cost adsorbents derived from natural materials: A multi-model's approach	48
Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling	48

Real-time leak detection using an infrared camera and Faster R-CNN technique	47
Hybrid Modeling in the Era of Smart Manufacturing	44
Real-time optimization using reinforcement learning	44
Reinforcement learning approach to autonomous PID tuning	43
Biomass-based integrated gasification combined cycle with post-combustion CO2 recovery by potassium carbonate: Techno-economic and environmental analysis	43
Self-adaptive deep learning for multimode process monitoring	42
Feature engineering in big data analytics for IoT-enabled smart manufacturing – Comparison between deep learning and statistical learning	42
Performance prediction of trace metals and cod in wastewater treatment using artificial neural network	41
Surrogate-based optimization for mixed-integer nonlinear problems	41
Perspectives on the integration between first-principles and data-driven modeling	40
Numerical simulation of natural convection and boil-off in a small size pressurized LNG storage tank	39
A tutorial review of neural network modeling approaches for model predictive control	39
Dynamic latent variable regression for inferential sensor modeling and monitoring	39
Optimization-based approach for CO2 utilization in carbon capture, utilization and storage supply chain	38