OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Industrial Informatics is 109. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT	683
Deep Residual Shrinkage Networks for Fault Diagnosis	659
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges	342
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network	333
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles	329
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence	319
A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life	283
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems	276
Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images	269
A Survey on Deep Learning for Data-Driven Soft Sensors	266
PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection	261
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT	258
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis	258
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks	252
Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries	245
NOMA-Based Resource Allocation for Cluster-Based Cognitive Industrial Internet of Things	233
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions	225
BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing	223
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data	221
Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction	219
Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning	218
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where	215
Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues	202
Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT	201
Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems	196

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence	191
QoS-Guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things With NOMA	188
Differential Privacy-Based Blockchain for Industrial Internet-of-Things	187
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy	187
A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks	186
Secure Data Storage and Recovery in Industrial Blockchain Network Environments	182
Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm	177
Battery Aging Assessment for Real-World Electric Buses Based on Incremental Capacity Analysis and Radial Basis Function Neural Network	175
Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment	175
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach	172
A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders	170
LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT	168
Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition	167
A Decentralized Power Management and Sliding Mode Control Strategy for Hybrid AC/DC Microgrids including Renewable Energy Resources	165
Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices	163
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning	163
Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation	162
Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis	161
A Personalized Privacy Protection Framework for Mobile Crowdsensing in IIoT	160
Distributed Resilient Finite-Time Secondary Control for Heterogeneous Battery Energy Storage Systems Under Denial-of-Service Attacks	158
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation	157
Security-Aware Industrial Wireless Sensor Network Deployment Optimization	157
BPAS: Blockchain-Assisted Privacy-Preserving Authentication System for Vehicular Ad Hoc Networks	157
Designing Secure Lightweight Blockchain-Enabled RFID-Based Authentication Protocol for Supply Chains in 5G Mobile Edge Computing Environment	155
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks	152
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things	150
zkCrowd: A Hybrid Blockchain-Based Crowdsourcing Platform	149
Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects	149
Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT	148
Challenges and Opportunities in Securing the Industrial Internet of Things	147
Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample	146
A Deep Graph Neural Network-Based Mechanism for Social Recommendations	145
Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach	144
A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems	144
Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings	141
Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks	140
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things	138
Resilient Model Predictive Control of Cyber–Physical Systems Under DoS Attacks	137
Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems	137
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm	136
Robust Load Frequency Control for Power System Considering Transmission Delay and Sampling Period	136
Multiobjective 3-D Topology Optimization of Next-Generation Wireless Data Center Network	136
Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things	135
One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis	134
Memristive Rulkov Neuron Model With Magnetic Induction Effects	134
Evolving Deep Echo State Networks for Intelligent Fault Diagnosis	132
Learning-Based Energy-Efficient Resource Management by Heterogeneous RF/VLC for Ultra-Reliable Low-Latency Industrial IoT Networks	132
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning	131
ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction	131
A Novel Patient-Centric Architectural Framework for Blockchain-Enabled Healthcare Applications	129

A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems	129
Distributed Blockchain-Based Trusted Multidomain Collaboration for Mobile Edge Computing in 5G and Beyond	128
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System	127
Blockchain-Enabled Federated Learning Data Protection Aggregation Scheme With Differential Privacy and Homomorphic Encryption in IIoT	126
Deep Learning-Based DDoS-Attack Detection for Cyber–Physical System Over 5G Network	126
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing	124
Dynamical Clustering in Electronic Commerce Systems via Optimization and Leadership Expansion	124
Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT	123
Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions	122
Optimized Design of Parity Relation-Based Residual Generator for Fault Detection: Data-Driven Approaches	122
Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing	121
Blockchain-Enabled Secure Energy Trading With Verifiable Fairness in Industrial Internet of Things	121
PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare	121
Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach	120
A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range	120
Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities	120
RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization	120
Cost-Driven Off-Loading for DNN-Based Applications Over Cloud, Edge, and End Devices	118
EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images	118
Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption	117
Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method	117
Initials-Boosted Coexisting Chaos in a 2-D Sine Map and Its Hardware Implementation	116
Blockchain for Cybersecurity in Smart Grid: A Comprehensive Survey	115
A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery	115
FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults	114
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints	114
NOMA Assisted Multi-Task Multi-Access Mobile Edge Computing via Deep Reinforcement Learning for Industrial Internet of Things	113
Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids	113
A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks	112
Blockchain-Based Fully Peer-to-Peer Energy Trading Strategies for Residential Energy Systems	112
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting	112
A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network	112
Reinforcement Learning for Real-Time Pricing and Scheduling Control in EV Charging Stations	112
Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV	109
Intelligent Security Planning for Regional Distributed Energy Internet	109