OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Process Control is 25. 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
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes	85
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder	84
Rebooting data-driven soft-sensors in process industries: A review of kernel methods	78
An optimized long short-term memory network based fault diagnosis model for chemical processes	67
Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration	63
A survey and classification of incipient fault diagnosis approaches	56
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	53
Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes	49
Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations	44
The integration of scheduling and control: Top-down vs. bottom-up	41
Simplified Granger causality map for data-driven root cause diagnosis of process disturbances	39
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation	38
Information concentrated variational auto-encoder for quality-related nonlinear process monitoring	37
Monitoring multimode processes: A modified PCA algorithm with continual learning ability	37
Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation	34
Output-relevant Variational autoencoder for Just-in-time soft sensor modeling with missing data	34
Monitoring and prediction of big process data with deep latent variable models and parallel computing	30
Enhanced canonical variate analysis with slow feature for dynamic process status analytics	29
Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance	28
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	28
Laplacian regularized robust principal component analysis for process monitoring	28
An identification algorithm of generalized time-varying systems based on the Taylor series expansion and applied to a pH process	27
Online reinforcement learning for a continuous space system with experimental validation	27
A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation	27
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	26

Parametric optimization and control for a smart Proton Exchange Membrane Water Electrolysis (PEMWE) system	25
Gaussian Discriminative Analysis aided GAN for imbalanced big data augmentation and fault classification	25
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes	25