Citation Impact
Citing Papers
Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review
2022 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Review of diesel production from renewable resources: Catalysis, process kinetics and technologies
2019
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Biorefineries in circular bioeconomy: A comprehensive review
2019 Standout
A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants
2019
Trends in extreme learning machines: A review
2014 Standout
Membranes and theoretical modeling of membrane distillation: A review
2010
Waste biorefinery models towards sustainable circular bioeconomy: Critical review and future perspectives
2016 Standout
Pyrolysis kinetics and thermal behavior of waste sawdust biomass using thermogravimetric analysis
2017 Standout
MOF water harvesters
2020 StandoutNobel
Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures
2020
A comparison between semi-theoretical and empirical modeling of cross-flow microfiltration using ANN
2011
Optimization of nonlinear process based on sequential extreme learning machine
2011
Vertical and horizontal integration systems in Industry 4.0
2018 Standout
Scalable tensor factorizations for incomplete data
2010 Standout
Stochastic stability and L 1
2018
Hydrogen energy systems: A critical review of technologies, applications, trends and challenges
2021 Standout
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
2020 Standout
A parameter estimation method for a condition-monitored device under multi-state deterioration
2012
Internet of things and supply chain management: a literature review
2017 Standout
Data-driven Soft Sensors in the process industry
2009 Standout
Review on hydrogen fuel cell condition monitoring and prediction methods
2018
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
2018 Standout
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares
2009
Review on Multiway Analysis in Chemistry—2000–2005
2006
A novel phosphonium-based deep eutectic catalyst for biodiesel production from industrial low grade crude palm oil
2012
Advanced biodiesel production technologies: novel developments
2014
Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches
2018
A deep learning just-in-time modeling approach for soft sensor based on variational autoencoder
2020
Membrane distillation: A comprehensive review
2011 Standout
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
2003 Standout
Optimal Design of Water Desalination Systems Involving Waste Heat Recovery
2017
Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm
2012
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
A critical review on self-adaptive Li-ion battery ageing models
2018
Survey on data-driven industrial process monitoring and diagnosis
2012
Support vector machine in machine condition monitoring and fault diagnosis
2007 Standout
Green and Sustainable Solvents in Chemical Processes
2018 Standout
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
2014 Standout
Insights into the Synthesis and Properties of Deep Eutectic Solvents Based on Cholinium Chloride and Carboxylic Acids
2014 Standout
Multiblock PLS-based localized process diagnosis
2004
Battery Lifetime Prognostics
2020 Standout
From model-based control to data-driven control: Survey, classification and perspective
2012 Standout
Lazy Learning-Based Online Identification and Adaptive PID Control: A Case Study for CSTR Process
2006
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
2017
Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes
2020
Perspective for smart factory in petrochemical industry
2016
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Fault diagnosis in HVAC chillers
2005
Neural network based framework for fault diagnosis in batch chemical plants
2000
On-line batch process monitoring using batch dynamic kernel principal component analysis
2010
Development of semi-supervised multiple-output soft-sensors with Co-training and tri-training MPLS and MRVM
2020
Exploring the potential of coconut shell biomass for charcoal production
2021 Standout
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Potential production of bioenergy from biomass in an Indian perspective
2014
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
A Review on Electric Vehicles: Technologies and Challenges
2021 Standout
Data-driven smart manufacturing
2018 Standout
Fault diagnosis based on imbalance modified kernel Fisher discriminant analysis
2010
Role of bioenergy, biorefinery and bioeconomy in sustainable development: Strategic pathways for Malaysia
2017
Integration of membrane technology in microalgae biorefineries
2014
A novel algorithm for wavelet neural networks with application to enhanced PID controller design
2015
Tensor Decompositions and Applications
2009 Standout
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
Works of Junghui Chen being referenced
Robust particle filter for state estimation using measurements with different types of gross errors
2017
Fault detection and diagnosis based on particle filters combined with interactive multiple-model estimation in dynamic process systems
2018
PLS-based multi-loop robust H2 control for improvement of operating efficiency of waste heat energy conversion systems with organic Rankine cycle
2017
On-line batch process monitoring using dynamic PCA and dynamic PLS models
2002
Applying neural networks to on-line updated PID controllers for nonlinear process control
2003
Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework
2015
Modeling and simulation of biodiesel production using a membrane reactor integrated with a prereactor
2011
A review on conventional technologies and emerging process intensification (PI) methods for biodiesel production
2012
Dynamic process fault monitoring based on neural network and PCA
2002
Modeling of a membrane reactor system for crude palm oil transesterification. Part II: Transport phenomena
2015
Modeling of a membrane reactor system for crude palm oil transesterification. Part I: Chemical and phase equilibrium
2015
Batch-to-batch iterative learning control and within-batch on-line control for end-point qualities using MPLS-based dEWMA
2007
Modeling and optimization of hollow fiber DCMD module for desalination
2008
Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes
2015
Prognostics of PEM fuel cells based on Gaussian process state space models
2018
Correntropy Kernel Learning for Nonlinear System Identification with Outliers
2013
Semi-supervised PLVR models for process monitoring with unequal sample sizes of process variables and quality variables
2015
Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes
2013
Just-In-Time Modeling With Variable Shrinkage Based on Gaussian Processes for Semiconductor Manufacturing
2018
Auto-Switch Gaussian Process Regression-Based Probabilistic Soft Sensors for Industrial Multigrade Processes with Transitions
2015
Integration Design of Heat Exchanger Networks into Membrane Distillation Systems to Save Energy
2012
Numerical Simulation and Optimal Design of AGMD-Based Hollow Fiber Modules for Desalination
2009
Predicting effect of interparticle interactions on permeate flux decline in CMF of colloidal suspensions: An overlapped type of local neural network
2007
Mixture Principal Component Analysis Models for Process Monitoring
1999
Ultrafiltration of triglyceride from biodiesel using the phase diagram of oil–FAME–MeOH
2009
Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN
2017
On-line batch process monitoring using MHMT-based MPCA
2006
Three-way data analysis with time lagged window for on-line batch process monitoring
2003
Development of hidden semi-Markov models for diagnosis of multiphase batch operation
2010