Future Generation Computer Systems-The International Journal of Escien

Papers
(The H4-Index of Future Generation Computer Systems-The International Journal of Escien is 59. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
M2FaaS: Transparent and fault tolerant FaaSification of Node.js monolith code blocks585
An edge–fog architecture for distributed 3D reconstruction557
On efficient matching of spatiotemporal rules401
Enhancing interconnection network topology for chiplet-based systems: An automated design framework379
A genetic algorithm with selective repair method under combined-criteria for deadline-constrained IoT workflow scheduling in Fog–Cloud computing341
Global reduction for geo-distributed MapReduce across cloud federation220
Trajectory privacy preservation model based on LSTM-DCGAN217
Enhancing network security using knowledge graphs and large language models for explainable threat detection159
Blockchain-based conditional privacy-preserving authentication scheme using PUF for vehicular ad hoc networks144
CyberAIBot: Artificial Intelligence in an intrusion detection system for CyberSecurity in the IoT134
Blockchain and timely auction mechanism-based spectrum management130
Advances in power consumption model for data centers: Analytical formulas vs. machine learning models129
Optimizing mobile blockchain networks: A game theoretical approach to cooperative multi-terminal computation124
Designing a QEMU plugin to profile multicore long vector RISC-V architectures: RAVE117
Enhancing fog IoT container deployment: A customizable Kubernetes scheduler105
ORION: Verification of drone trajectories via remote identification messages101
DART: A state-aware online co-scheduling runtime for data-parallel training99
An ultrasound standard plane detection model of fetal head based on multi-task learning and hybrid knowledge graph98
FedShufde: A privacy preserving framework of federated learning for edge-based smart UAV delivery system97
A Knapsack-based Metaheuristic for Edge Server Placement in 5G networks with heterogeneous edge capacities90
Scalability through Pulverisation: Declarative deployment reconfiguration at runtime90
PPSFL: Privacy-Preserving Split Federated Learning for heterogeneous data in edge-based Internet of Things90
Latency-aware scheduling for data-oriented service requests in collaborative IoT-edge-cloud networks86
DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering86
Dynamic characterisation of cyberattacks based on the MITRE ATT&CK framework applied to the optimisation of a mitigation selection process80
Zero-trust blockchain-enabled framework for scalable and secure IoT networks80
PCL-BPRE: privacy-preserving certificateless-based broadcast proxy re-encryption for data sharing in cloud-based IIoT79
Finite-horizon energy allocation scheme in energy harvesting-based linear wireless sensor network78
MedT2T: An adaptive pointer constrain generating method for a new medical text-to-table task78
Improving WSN-based dataset using data augmentation for TSCH protocol performance modeling78
Privacy-preserving workflow scheduling in geo-distributed data centers77
An out-of-core method for GPU image mapping on large 3D scenarios of the real world75
Investigation on cellular LTE C-V2X network serving vehicular data traffic in realistic urban scenarios74
Leveraging a visual language for the awareness-based design of interaction requirements in digital twins74
Harnessing federated learning for anomaly detection in supercomputer nodes73
HIDE-Healthcare IoT Data Trust ManagEment: Attribute centric intelligent privacy approach73
Benchmarking parallel programming for single-board computers72
Secure blockchain-based reputation system for IIoT-enabled retail industry with resistance to sybil attack72
AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation71
A comparative benchmark study of LLM-based threat elicitation tools71
Fog node discovery and selection: A Systematic literature review70
Reducing inference energy consumption using dual complementary CNNs69
Flight: A FaaS-based framework for complex and Hierarchical Federated Learning68
Learning protein language contrastive models with multi-knowledge representation68
On-device AI and digital twins: A synergistic approach to intelligent cyber-physical systems66
A hybrid quantum-classical particle-in-cell method for plasma simulations66
Blockchain and digital twin empowered edge caching for D2D wireless networks66
Def-Ag: An energy-efficient decentralized federated learning framework via aggregator clients65
SPAE: Lifelong disk failure prediction via end-to-end GAN-based anomaly detection with ensemble update65
MIGTNet: Metapath Instance-based Graph Transformation Network for heterogeneous graph embedding65
SkyFlow: Heterogeneous streaming for skyline computation using FlowGraph and SYCL62
Enforcing group fairness in privacy-preserving Federated Learning62
Task offloading in vehicular fog computing: State-of-the-art and open issues61
Special Issue on Intelligent Architectures and Platforms for Private Edge Cloud Systems61
Consolidation of virtual machines to reduce energy consumption of data centers by using ballooning, sharing and swapping mechanisms61
Cost-aware routing for computation offloading in knowledge-defined AIoT61
A collaborative semantic framework based on activities for the development of applications in Smart Home living labs60
A Q-Learning-based distributed routing protocol for frequency-switchable magnetic induction-based wireless underground sensor networks60
EB-BFT: An elastic batched BFT consensus protocol in blockchain59
Evolutionary optimization of spatially-distributed multi-sensors placement for indoor surveillance environments with security levels59
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