OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Industrial Informatics is 108. 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
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT	658
Deep Residual Shrinkage Networks for Fault Diagnosis	634
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network	326
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles	318
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges	317
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence	313
A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life	268
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems	259
Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images	255
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT	250
PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection	250
A Survey on Deep Learning for Data-Driven Soft Sensors	249
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis	246
Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries	238
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks	233
NOMA-Based Resource Allocation for Cluster-Based Cognitive Industrial Internet of Things	230
BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing	219
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions	216
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data	216
Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning	214
UAV-Enhanced Intelligent Offloading for Internet of Things at the Edge	212
Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction	208
Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT	198
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where	197
Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues	195

Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT	191
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems	188
Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence	188
QoS-Guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things With NOMA	186
Differential Privacy-Based Blockchain for Industrial Internet-of-Things	182
Secure Data Storage and Recovery in Industrial Blockchain Network Environments	179
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy	179
A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks	177
Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment	175
Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm	171
Battery Aging Assessment for Real-World Electric Buses Based on Incremental Capacity Analysis and Radial Basis Function Neural Network	169
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach	166
A Decentralized Power Management and Sliding Mode Control Strategy for Hybrid AC/DC Microgrids including Renewable Energy Resources	165
LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT	162
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning	161
A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders	161
Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition	160
Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices	158
A Personalized Privacy Protection Framework for Mobile Crowdsensing in IIoT	157
Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation	154
Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis	152
Distributed Resilient Finite-Time Secondary Control for Heterogeneous Battery Energy Storage Systems Under Denial-of-Service Attacks	152
BPAS: Blockchain-Assisted Privacy-Preserving Authentication System for Vehicular Ad Hoc Networks	151
Designing Secure Lightweight Blockchain-Enabled RFID-Based Authentication Protocol for Supply Chains in 5G Mobile Edge Computing Environment	149
Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects	148
zkCrowd: A Hybrid Blockchain-Based Crowdsourcing Platform	147
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation	144
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks	143
A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems	141
Security-Aware Industrial Wireless Sensor Network Deployment Optimization	141
Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample	141
Challenges and Opportunities in Securing the Industrial Internet of Things	139
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things	139
Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT	137
Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach	136
A Deep Graph Neural Network-Based Mechanism for Social Recommendations	136
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things	132
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm	132
Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings	132
Resilient Model Predictive Control of Cyber–Physical Systems Under DoS Attacks	132
Robust Load Frequency Control for Power System Considering Transmission Delay and Sampling Period	131
Evolving Deep Echo State Networks for Intelligent Fault Diagnosis	131
One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis	130
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems	129
Learning-Based Energy-Efficient Resource Management by Heterogeneous RF/VLC for Ultra-Reliable Low-Latency Industrial IoT Networks	129
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning	128
ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction	127
Distributed Blockchain-Based Trusted Multidomain Collaboration for Mobile Edge Computing in 5G and Beyond	127
Nei-TTE: Intelligent Traffic Time Estimation Based on Fine-Grained Time Derivation of Road Segments for Smart City	126
Dynamical Clustering in Electronic Commerce Systems via Optimization and Leadership Expansion	124

Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things	124
A Novel Patient-Centric Architectural Framework for Blockchain-Enabled Healthcare Applications	124
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System	123
Multiobjective 3-D Topology Optimization of Next-Generation Wireless Data Center Network	123
Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks	122
Memristive Rulkov Neuron Model With Magnetic Induction Effects	122
Deep Learning-Based DDoS-Attack Detection for Cyber–Physical System Over 5G Network	121
Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT	121
A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems	121
Blockchain-Enabled Federated Learning Data Protection Aggregation Scheme With Differential Privacy and Homomorphic Encryption in IIoT	119
RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization	119
A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range	118
PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare	118
Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach	118
Blockchain-Enabled Secure Energy Trading With Verifiable Fairness in Industrial Internet of Things	117
Optimized Design of Parity Relation-Based Residual Generator for Fault Detection: Data-Driven Approaches	117
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing	117
Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions	117
Cost-Driven Off-Loading for DNN-Based Applications Over Cloud, Edge, and End Devices	117
EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images	115
Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities	115
Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method	114
Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing	113
Initials-Boosted Coexisting Chaos in a 2-D Sine Map and Its Hardware Implementation	111
A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery	111
Blockchain for Cybersecurity in Smart Grid: A Comprehensive Survey	110
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints	110
FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults	110
Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids	109
BIM Big Data Storage in WebVRGIS	109
A Novel EM Identification Method for Hammerstein Systems With Missing Output Data	109
Intelligent Security Planning for Regional Distributed Energy Internet	108
Reinforcement Learning for Real-Time Pricing and Scheduling Control in EV Charging Stations	108