International Journal of Web Services Research

Aims & Scope✦ Inferred from recent articles

This journal publishes research on the application of artificial intelligence, machine learning, and data analysis techniques to solve complex problems across various domains. Topics include anomaly detection in system logs, reputation management in composite services, data imputation and analysis for large-scale systems like power grids, understanding and detecting clickbait in digital journalism, predictive modeling for industrial processes such as hot rolling, topic modeling for specialized text like classical poetry, AI-assisted art design, urban flood prevention systems, medical dialogue generation, preservation of intangible cultural heritage using digital technologies, web service clustering, and industrial diagnostic systems in manufacturing.

AI-summarised from recent articles · verify on the publisher page

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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Subject Classification