This journal publishes research on the development and application of artificial intelligence and machine learning techniques. Topics include natural language processing, knowledge engineering, multi-label learning, recommendation systems, computer vision, and optimization algorithms. The research often focuses on improving model performance, addressing data scarcity and imbalance, and enhancing the interpretability and robustness of AI systems.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Artificial IntelligenceQ2
Computational Theory and MathematicsQ2
Control and Systems EngineeringQ2
Theoretical Computer ScienceQ2
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceComputer Science, Theory & Methods
Scopus Categories
Control and Systems EngineeringTheoretical Computer ScienceArtificial IntelligenceComputational Theory and Mathematics
Research Topics (OpenAlex)
AI-based Problem Solving and PlanningTopic ModelingMulti-Criteria Decision MakingNeural Networks and ApplicationsSemantic Web and OntologiesData Mining Algorithms and ApplicationsImbalanced Data Classification TechniquesHuman auditory perception and evaluationDiverse Scientific and Economic StudiesMetaheuristic Optimization Algorithms Research