OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Industrial Electronics is 86. 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 2020-10-01 to 2024-10-01.)

Article	Citations
A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery	458
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach	322
Model-Free Predictive Current Control of PMSM Drives Based on Extended State Observer Using Ultralocal Model	321
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development	284
Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries	224
Fault Diagnosis of an Autonomous Vehicle With an Improved SVM Algorithm Subject to Unbalanced Datasets	204
Multi-Objective Design Optimization of an IPMSM Based on Multilevel Strategy	200
Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis	197
Two-Dimensional Memristive Hyperchaotic Maps and Application in Secure Communication	174
A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines	172
Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery	171
Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing	166
Macroscopic–Microscopic Attention in LSTM Networks Based on Fusion Features for Gear Remaining Life Prediction	165
Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model	163
Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant	154
Key-Performance-Indicator-Related Process Monitoring Based on Improved Kernel Partial Least Squares	151
Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings	148
Noise-Immune Model Identification and State-of-Charge Estimation for Lithium-Ion Battery Using Bilinear Parameterization	147
Virtual-Vector-Based Robust Predictive Current Control for Dual Three-Phase PMSM	145
Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery	140
An Approach Towards Extreme Fast Charging Station Power Delivery for Electric Vehicles with Partial Power Processing	139
Seamless GPS/Inertial Navigation System Based on Self-Learning Square-Root Cubature Kalman Filter	138
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis	137
MOD-RRT*: A Sampling-Based Algorithm for Robot Path Planning in Dynamic Environment	134
Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics	132

Path Following Control of Autonomous Four-Wheel-Independent-Drive Electric Vehicles via Second-Order Sliding Mode and Nonlinear Disturbance Observer Techniques	130
Approximation-Free Robust Synchronization Control for Dual-Linear-Motors-Driven Systems With Uncertainties and Disturbances	129
Observer-Based Adaptive Sliding Mode Control for Nonlinear Stochastic Markov Jump Systems via T–S Fuzzy Modeling: Applications to Robot Arm Model	128
An Improved Model Predictive Current Control for PMSM Drives Based on Current Track Circle	128
Distributed Adaptive Event-Triggered Fault-Tolerant Synchronization for Multiagent Systems	128
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine	128
An Enhanced Equivalent Circuit Model With Real-Time Parameter Identification for Battery State-of-Charge Estimation	126
Short-Term Self-Scheduling of Virtual Energy Hub Plant Within Thermal Energy Market	124
Deep Learning Approaches on Pedestrian Detection in Hazy Weather	124
Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network	123
Time-Reassigned Multisynchrosqueezing Transform for Bearing Fault Diagnosis of Rotating Machinery	123
General Formulation of Kalman-Filter-Based Online Parameter Identification Methods for VSI-Fed PMSM	123
A Step-Up Multilevel Inverter Topology Using Novel Switched Capacitor Converters With Reduced Components	119
Motor Learning and Generalization Using Broad Learning Adaptive Neural Control	118
Human-Robot Co-Carrying Using Visual and Force Sensing	117
Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis	116
Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter	115
Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis	115
A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing	113
Nonlinear Model Predictive Control for the Energy Management of Fuel Cell Hybrid Electric Vehicles in Real Time	112
Multiobjective System Level Optimization Method for Switched Reluctance Motor Drive Systems Using Finite-Element Model	109
Sliding Mode Dual-Channel Disturbance Rejection Attitude Control for a Quadrotor	109
Model-Predictive-Control-Based Path Tracking Controller of Autonomous Vehicle Considering Parametric Uncertainties and Velocity-Varying	109
OpenStreetMap-Based Autonomous Navigation for the Four Wheel-Legged Robot Via 3D-Lidar and CCD Camera	107
Multiobjective Optimization and Data-Driven Constraint Adaptive Predictive Control for Efficient and Stable Operation of PEMFC System	106
A Disturbance Observer-Based Current-Constrained Controller for Speed Regulation of PMSM Systems Subject to Unmatched Disturbances	106
Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method	105
Six-Switch Step-Up Common-Grounded Five-Level Inverter With Switched-Capacitor Cell for Transformerless Grid-Tied PV Applications	104
An Efficient Convolutional Neural Network Model Based on Object-Level Attention Mechanism for Casting Defect Detection on Radiography Images	104
SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis	103
A Stochastic Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Fast Rolling Optimization	103
MoS₂-Templated Porous Hollow MoO₃ Microspheres for Highly Selective Ammonia Sensing via a Lewis Acid-Base Interaction	102
A Novel Modified Switched Inductor Boost Converter With Reduced Switch Voltage Stress	102
Optimized EPS Control to Achieve Full Load Range ZVS With Seamless Transition for Dual Active Bridge Converters	102
Nonisolated High-Step-Up DC–DC Converter Derived from Switched-Inductors and Switched-Capacitors	101
Distribution-Invariant Deep Belief Network for Intelligent Fault Diagnosis of Machines Under New Working Conditions	101
Model Predictive Control Using Artificial Neural Network for Power Converters	100
A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multimodules Learning With Gradient Penalized Generative Adversarial Networks	100
Adaptive Attitude Control of a Quadrotor Using Fast Nonsingular Terminal Sliding Mode	98
A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection	98
Generating Any Number of Initial Offset-Boosted Coexisting Chua’s Double-Scroll Attractors via Piecewise-Nonlinear Memristor	98
Dual-Loop Tube-Based Robust Model Predictive Attitude Tracking Control for Spacecraft With System Constraints and Additive Disturbances	98
A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters	95
High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence	95
Scaling-Basis Chirplet Transform	95
Classification of Complex Power Quality Disturbances Using Optimized S-Transform and Kernel SVM	95
Adaptive Terminal Sliding Mode Control for Magnetic Levitation Systems With Enhanced Disturbance Compensation	95
Cascaded-Extended-State-Observer-Based Sliding-Mode Control for Underactuated Flexible Joint Robot	95
An Extremely Simple Multiwing Chaotic System: Dynamics Analysis, Encryption Application, and Hardware Implementation	95
A Wide-Range High-Voltage-Gain Bidirectional DC–DC Converter for V2G and G2V Hybrid EV Charger	92

Distributed Resilient Secondary Control for DC Microgrids Against Heterogeneous Communication Delays and DoS Attacks	92
Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors	91
A Fast Impedance Calculation-Based Battery State-of-Health Estimation Method	89
A Triple-Band High-Gain Multibeam Ambient RF Energy Harvesting System Utilizing Hybrid Combining	89
Cooperation of Multiple Connected Vehicles at Unsignalized Intersections: Distributed Observation, Optimization, and Control	89
Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines	88
Model Predictive Control With Lifetime Constraints Based Energy Management Strategy for Proton Exchange Membrane Fuel Cell Hybrid Power Systems	88
Sliding Mode Control of Grid-Connected Neutral-Point-Clamped Converters Via High-Gain Observer	87
Design Methodology of Free-Positioning Nonoverlapping Wireless Charging for Consumer Electronics Based on Antiparallel Windings	87
Real-Time Nonlinear Model Predictive Control of Active Power Filter Using Self-Feedback Recurrent Fuzzy Neural Network Estimator	86
Multiobjective Design Optimization of an IPMSM for EVs Based on Fuzzy Method and Sequential Taguchi Method	86
Enhanced Transient Angle Stability Control of Grid-Forming Converter Based on Virtual Synchronous Generator	86
Gray-Box Parsimonious Subspace Identification of Hammerstein-Type Systems	86
Finite Control Set Model Predictive Control for LCL-Filtered Grid-Tied Inverter With Minimum Sensors	86
Principle and Topology Derivation of Single-Inductor Multi-Input Multi-Output DC–DC Converters	86