OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Services Computing is 50. 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.)

Article	Citations
Optimizing Blockchain Shard Allocations Service: A Multi-Objective Evolutionary Perspective	216
ESR-MHFL: Edge Server Reallocation for Multi-Hierarchical Federated Learning	207
Scheduling Multi-Server Jobs With Sublinear Regrets via Online Learning	166
ESAChain: A Blockchain-Based Efficient Service Authentication Framework for Secure Metaverse Service Interactions	159
A Consumption-Generation Driven Deep Embedding Framework for Next Activity Prediction	143
QPause: Quantum-Resistant Password-Protected Data Outsourcing for Cloud Storage	136
A Blockchain-Based Cross-Domain Data Transmission Scheme for Industrial Internet of Things With Edge-Cloud Computing	133
Enhancing Game Policy Optimization in Mobile Crowdsourcing: A Reinforcement Learning Approach	121
Constrained App Data Caching Over Edge Server Graphs in Edge Computing Environment	114
Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction	110
Non-Interactive Multi-Client Searchable Symmetric Encryption With Small Client Storage	107
Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services	104
M-DAFTO: Multi-Stage Deferred Acceptance Based Fair Task Offloading in IoT-Fog Systems	99
Privacy-Preserving and Verifiable Federated Learning Framework for Biometric Authentication at the Edge	99
Attribute-Based Expressive and Ranked Keyword Search Over Encrypted Documents in Cloud Computing	98
Proactive Recommendation of Composite Services in Multi-Access Edge Computing	90
SNN-IoT: Efficient Partitioning and Enabling of Deep Spiking Neural Networks in IoT Services	89
RDRM: Real-Time Dynamic Replica Management With Joint Optimization for Edge Computing	83
An Energy Aware Task Scheduling Model Using Ant-Mating Optimization in Fog Computing Environment	83
Efficient Privacy-Preserving Multi-Dimensional Range Query for Cloud-Assisted Ehealth Systems	82
Location Privacy Protection Method Based on Local Differential Privacy in Crowdsensing With Approximately Accurate Task Allocation	81
KeAD: Knowledge-enhanced Graph Attention Network for Accurate Anomaly Detection	80
Cross-F$^{2}$SCIL: A Federated Few-Shot Class Incremental Learning Method for Cross Mobile Edge Network Environments	80
DynaEDI+: Reliable and Decentralized Integrity Verification for Dynamic Edge Data	76
Weighted Adversarial Learning From Crowds	75

Distributed Bandit-Based Cooperative Coevolution for Large-Scale Multi-Objective Data Publishing	72
Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data	72
DALAD: Unsupervised Detection of Global and Local Anomalies in Microservice Systems	72
Delay-Prioritized and Reliable Task Scheduling With Long-Term Load Balancing in Computing Power Networks	72
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework	71
RASK: Range Spatial Keyword Queries on Massive Encrypted Geo-Textual Data	67
Cloud-Based Charging Management of Heterogeneous Electric Vehicles in a Network of Charging Stations: Price Incentive Versus Capacity Expansion	65
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems	64
Modeling and Empirical Validation of Reliability and Performance Trade-Offs of Dynamic Routing in Service- and Cloud-Based Architectures	62
NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs	62
Uncertainty-Aware Multimodal Anomaly Detection for Microservice Systems with Active Learning	62
Maximizing NFT Incentives: References Make You Rich	61
Task Allocation With Geography-Context-Capacity Awareness in Distributed Burstable Billing Edge-Cloud Systems	61
Scalable Large Model for Unlabeled Anomaly Detection With Trio-Attention U-Transformer and Manifold-Learning Siamese Discriminator	61
Energy-Aware Service Function Chaining Embedding in NFV Networks	60
An Efficient Replication-Based Aggregation Verification and Correctness Assurance Scheme for Federated Learning	58
MSCCL: A Framework for Enhancing Mashup Service Clustering With Contrastive Learning	56
Pre-Fetch or Not: A Privacy-Aware Edge-User Co-opetition Delivery Framework for Metaverse Multimedia Services	56
A Survey of Proxy Re-Encryption for Secure Data Sharing in Cloud Computing	55
Joint Optimization of Fine-grained Representation and Workflow Orchestration in Metaverse Articulated Manipulation Auto-generation by VLA Method	55
Federated Distributed Deep Reinforcement Learning for Recommendation-Enabled Edge Caching	52
Reputation Bootstrapping for Composite Services Using CP-Nets	52
Privacy-Preserving Convolutional Neural Network Classification Scheme With Multiple Keys	51
Error Correction Aware Dependent Task Offloading in Satellite Edge Computing	51
Mind the Service: What Crypto Wallets Aren’t Telling You	51
Deep Reinforcement Learning for Scheduling Applications in Serverless and Serverful Hybrid Computing Environments	50
Deep Reinforcement Learning for Containerized Edge Intelligence Inference Request Processing in IoT Edge Computing	50