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 2020-11-01 to 2024-11-01.)

Article	Citations
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	82
A survey and classification of incipient fault diagnosis approaches	70
Graph convolutional network soft sensor for process quality prediction	49
Simplified Granger causality map for data-driven root cause diagnosis of process disturbances	47
An identification algorithm of generalized time-varying systems based on the Taylor series expansion and applied to a pH process	47
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation	45
Monitoring multimode processes: A modified PCA algorithm with continual learning ability	43
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	35
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	34
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes	33
Enhanced canonical variate analysis with slow feature for dynamic process status analytics	32
Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data	30
Dynamic system modelling and process monitoring based on long-term dependency slow feature analysis	29
Online reinforcement learning for a continuous space system with experimental validation	28
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process	28
A multi-rate sampling data fusion method for fault diagnosis and its industrial applications	28
A novel rate of penetration prediction model with identified condition for the complex geological drilling process	28
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing	28
Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance	28
Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner	27
Distributed data-driven optimal fault detection for large-scale systems	27
Designing of non-fragile robust model predictive control for constrained uncertain systems and its application in process control	26
A trend-based event-triggering fuzzy controller for the stabilizing control of a large-scale zinc roaster	25
Online deep neural network-based feedback control of a Lutein bioprocess	25
Data-knowledge-driven distributed monitoring for large-scale processes based on digraph	25