Journal of Grid Computing

Papers
(The H4-Index of Journal of Grid Computing is 23. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud62
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources60
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry47
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing41
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes37
Optimizing Computation Offloading in IoV Environments: A Hybrid Learning Automata and Deep Recurrent Q-Network Approach37
Cloud–Edge Collaborative Object Detection and Semantic Segmentation in Intelligent Transportation Systems37
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method34
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods33
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities30
Proximal Policy Optimization for Vehicular Big Data Offloading Across Edge, Regional, and Cloud Layers28
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models28
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers26
A Market-based Framework for Resource Management in Cloud Federation26
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing26
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation26
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness26
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration25
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application25
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things24
SLA-based Multi-dimensional Trust Model for Fog Computing Environments24
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection24
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics24
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization23
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