OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Services Computing is 53. 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 2021-11-01 to 2025-11-01.)

Article	Citations
KeAD: Knowledge-enhanced Graph Attention Network for Accurate Anomaly Detection	192
Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction	188
RDRM: Real-Time Dynamic Replica Management With Joint Optimization for Edge Computing	165
Cost-aware Resource Recommendation for DAG-based Big Data Workflows: An Apache Spark Case Study	160
Efficient Privacy-Preserving Multi-Dimensional Range Query for Cloud-Assisted Ehealth Systems	136
Modeling and Empirical Validation of Reliability and Performance Trade-Offs of Dynamic Routing in Service- and Cloud-Based Architectures	134
Delay-Prioritized and Reliable Task Scheduling With Long-Term Load Balancing in Computing Power Networks	128
Cross-F $^{2}$ SCIL: A Federated Few-Shot Class Incremental Learning Method for Cross Mobile Edge Network Environments	125
Coda: Runtime Detection of Application-Layer CPU-Exhaustion DoS Attacks in Containers	122
Weighted Adversarial Learning From Crowds	108
Maximizing NFT Incentives: References Make You Rich	106
Non-Interactive Multi-Client Searchable Symmetric Encryption With Small Client Storage	102
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems	99
Distributed Bandit-Based Cooperative Coevolution for Large-Scale Multi-Objective Data Publishing	96
Secure and Verifiable Outsourcing of Large-Scale Nonnegative Matrix Factorization (NMF)	96
Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data	94
DynaEDI+: Reliable and Decentralized Integrity Verification for Dynamic Edge Data	93
Scalable Large Model for Unlabeled Anomaly Detection With Trio-Attention U-Transformer and Manifold-Learning Siamese Discriminator	92
Dynamic Cluster-Based Flow Management for Software Defined Networks	91
QPause: Quantum-Resistant Password-Protected Data Outsourcing for Cloud Storage	89
M-DAFTO: Multi-Stage Deferred Acceptance Based Fair Task Offloading in IoT-Fog Systems	86
Cloud-Based Charging Management of Heterogeneous Electric Vehicles in a Network of Charging Stations: Price Incentive Versus Capacity Expansion	84
Attribute-Based Expressive and Ranked Keyword Search Over Encrypted Documents in Cloud Computing	82
RASK: Range Spatial Keyword Queries on Massive Encrypted Geo-Textual Data	75
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework	73

Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services	72
Proactive Recommendation of Composite Services in Multi-Access Edge Computing	72
ESR-MHFL: Edge Server Reallocation for Multi-Hierarchical Federated Learning	71
Optimizing Blockchain Shard Allocations Service: A Multi-Objective Evolutionary Perspective	70
Enhancing Game Policy Optimization in Mobile Crowdsourcing: A Reinforcement Learning Approach	70
A Blockchain-Based Cross-Domain Data Transmission Scheme for Industrial Internet of Things With Edge-Cloud Computing	70
SNN-IoT: Efficient Partitioning and Enabling of Deep Spiking Neural Networks in IoT Services	69
Constrained App Data Caching Over Edge Server Graphs in Edge Computing Environment	69
An Energy Aware Task Scheduling Model Using Ant-Mating Optimization in Fog Computing Environment	68
Scheduling Multi-Server Jobs With Sublinear Regrets via Online Learning	65
NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs	65
Task Allocation With Geography-Context-Capacity Awareness in Distributed Burstable Billing Edge-Cloud Systems	64
Availability and Reliability of Core Networks (4G/5G) From a Deployment Standpoint	63
2021 Reviewers List	63
SaaSC: Toward Pay-as-You-Go Mode for Software Service Transactions Based on Blockchain's Smart Legal Contracts	59
Pre-Fetch or Not: A Privacy-Aware Edge-User Co-opetition Delivery Framework for Metaverse Multimedia Services	59
MSCCL: A Framework for Enhancing Mashup Service Clustering With Contrastive Learning	58
An Efficient Replication-Based Aggregation Verification and Correctness Assurance Scheme for Federated Learning	58
Federated Distributed Deep Reinforcement Learning for Recommendation-Enabled Edge Caching	58
Detecting Web Attacks From HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network	58
Deep Reinforcement Learning for Scheduling Applications in Serverless and Serverful Hybrid Computing Environments	57
Incentive Mechanism for Mobile Crowdsensing with Two-Stage Stackelberg Game	57
Delegatable Order-Revealing Encryption for Reliable Cross-Database Query	57
Efficient and Privacy-Preserving Spatial-Feature-Based Reverse kNN Query	57
Energy-Aware Service Function Chaining Embedding in NFV Networks	55
Joint Optimization of Request Assignment and Computing Resource Allocation in Multi-Access Edge Computing	54
Resource Provisioning and Allocation in Function-as-a-Service Edge-Clouds	54
Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning	53
DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System	53
FREB: Participant Selection in Federated Learning with Reputation Evaluation and Blockchain	53