Journal of Grid Computing

Papers
(The H4-Index of Journal of Grid Computing is 18. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
A Correlation Based Recommendation System for Large Data Sets52
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources50
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry49
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud41
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers41
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods33
Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems33
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method31
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities30
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes28
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing27
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers26
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models25
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation22
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing21
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness21
Computing Offloading Strategy Using Improved Genetic Algorithm in Mobile Edge Computing System19
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration19
A Market-based Framework for Resource Management in Cloud Federation18
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