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 2022-01-01 to 2026-01-01.)

Article	Citations
Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction	196
Cost-aware Resource Recommendation for DAG-based Big Data Workflows: An Apache Spark Case Study	196
Proactive Recommendation of Composite Services in Multi-Access Edge Computing	151
Optimizing Blockchain Shard Allocations Service: A Multi-Objective Evolutionary Perspective	137
A Blockchain-Based Cross-Domain Data Transmission Scheme for Industrial Internet of Things With Edge-Cloud Computing	137
ESR-MHFL: Edge Server Reallocation for Multi-Hierarchical Federated Learning	128
Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services	112
Scheduling Multi-Server Jobs With Sublinear Regrets via Online Learning	110
Modeling and Empirical Validation of Reliability and Performance Trade-Offs of Dynamic Routing in Service- and Cloud-Based Architectures	105
Constrained App Data Caching Over Edge Server Graphs in Edge Computing Environment	104
Dynamic Cluster-Based Flow Management for Software Defined Networks	102
M-DAFTO: Multi-Stage Deferred Acceptance Based Fair Task Offloading in IoT-Fog Systems	100
RASK: Range Spatial Keyword Queries on Massive Encrypted Geo-Textual Data	98
NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs	97
Weighted Adversarial Learning From Crowds	97
Coda: Runtime Detection of Application-Layer CPU-Exhaustion DoS Attacks in Containers	97
Scalable Large Model for Unlabeled Anomaly Detection With Trio-Attention U-Transformer and Manifold-Learning Siamese Discriminator	92
SNN-IoT: Efficient Partitioning and Enabling of Deep Spiking Neural Networks in IoT Services	92
Location Privacy Protection Method Based on Local Differential Privacy in Crowdsensing With Approximately Accurate Task Allocation	90
Attribute-Based Expressive and Ranked Keyword Search Over Encrypted Documents in Cloud Computing	90
QPause: Quantum-Resistant Password-Protected Data Outsourcing for Cloud Storage	78
Efficient Privacy-Preserving Multi-Dimensional Range Query for Cloud-Assisted Ehealth Systems	77
Maximizing NFT Incentives: References Make You Rich	77
KeAD: Knowledge-enhanced Graph Attention Network for Accurate Anomaly Detection	76
Enhancing Game Policy Optimization in Mobile Crowdsourcing: A Reinforcement Learning Approach	75

Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data	75
An Energy Aware Task Scheduling Model Using Ant-Mating Optimization in Fog Computing Environment	75
Cross-F$^{2}$SCIL: A Federated Few-Shot Class Incremental Learning Method for Cross Mobile Edge Network Environments	75
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems	70
DynaEDI+: Reliable and Decentralized Integrity Verification for Dynamic Edge Data	68
Distributed Bandit-Based Cooperative Coevolution for Large-Scale Multi-Objective Data Publishing	66
Cloud-Based Charging Management of Heterogeneous Electric Vehicles in a Network of Charging Stations: Price Incentive Versus Capacity Expansion	66
Non-Interactive Multi-Client Searchable Symmetric Encryption With Small Client Storage	65
DALAD: Unsupervised Detection of Global and Local Anomalies in Microservice Systems	65
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework	65
RDRM: Real-Time Dynamic Replica Management With Joint Optimization for Edge Computing	64
Delay-Prioritized and Reliable Task Scheduling With Long-Term Load Balancing in Computing Power Networks	64
Task Allocation With Geography-Context-Capacity Awareness in Distributed Burstable Billing Edge-Cloud Systems	62
Availability and Reliability of Core Networks (4G/5G) From a Deployment Standpoint	61
Pre-Fetch or Not: A Privacy-Aware Edge-User Co-opetition Delivery Framework for Metaverse Multimedia Services	60
Privacy-Preserving Convolutional Neural Network Classification Scheme With Multiple Keys	60
DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System	60
Deep Reinforcement Learning for Scheduling Applications in Serverless and Serverful Hybrid Computing Environments	59
Privacy-Preserving Cross-Client Recommender Systems With Fully-Separable Graph Neural Networks	58
In-Flight Energy-Driven Composition of Drone Swarm Services	57
An Efficient Replication-Based Aggregation Verification and Correctness Assurance Scheme for Federated Learning	57
SaaSC: Toward Pay-as-You-Go Mode for Software Service Transactions Based on Blockchain's Smart Legal Contracts	57
FREB: Participant Selection in Federated Learning with Reputation Evaluation and Blockchain	57
Efficient and Privacy-Preserving Spatial-Feature-Based Reverse kNN Query	56
MSCCL: A Framework for Enhancing Mashup Service Clustering With Contrastive Learning	56
Delegatable Order-Revealing Encryption for Reliable Cross-Database Query	55
Exploring Smart Contract Recommendation: Towards Efficient Blockchain Development	53
Energy-Aware Service Function Chaining Embedding in NFV Networks	53