International Journal of Web Services Research

Papers
(The TQCC of International Journal of Web Services Research is 2. 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
A Quasi-Newton Matrix Factorization-Based Model for Recommendation64
User Cold Start Recommendation System Based on Hofstede Cultural Theory15
A Novel Multi-Domain Adaptation-Based Method for Blast Furnace Anomaly Detection4
Penguin Rider Optimization Algorithm-Based Deep Recurrent Neural Network for Sentiment Classification of Political Twitter Data3
A Financial Deep Learning Framework3
A Service Recommendation Algorithm Based on Self-Attention Mechanism and DeepFM3
A Predictive and Trajectory-Aware Edge Service Allocation Approach in a Mobile Computing Environment3
Recommendations for Crowdsourcing Services Based on Mobile Scenarios and User Trajectory Awareness3
Fast and Effective Intrusion Detection Using Multi-Layered Deep Learning Networks3
Optimizing Milk Pasteurization Diagnosis Through Deep Q-Networks and Digital Twin Technology2
A Multi-Dimensional Context-Aware Healthcare Service Recommendation Method2
Threat-Path Estimate-Based Watchword-Chunk Algorithm for Advanced Persistent Threat in the Cloud2
Application of Internet of Things Technology in Computer Network Security and Remote-Control Analysis2
A High-Performance Factorization Method for High-Order Heterogeneous Graph Tensors From Large-Scale Power Grid2
Selecting Mobile Services in Cloud and Edge Environment by Moth-Flame Optimization Algorithm2
The Transformation of the New Media Communication Paradigm in the Metaverse Era and Blockchain Based on the Topological Characteristics of Information Communication2
Research on the Capacity Allocation and Planning Model of a Flexible Direct Current Transmission System Based on Swarm Intelligence Optimization Algorithm2
Research on Intelligent Medical Engineering Analysis and Decision Based on Deep Learning2
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