This journal publishes research on the application of computational methods, particularly machine learning and deep learning, to diverse fields such as image classification, anomaly detection, natural language processing, and system optimization. Articles explore the development and evaluation of novel algorithms and frameworks for tasks including feature extraction, pattern recognition, and predictive modeling across various domains like agriculture, cybersecurity, and educational technology.
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.
Information Systems and ManagementQ3
Computer Science (miscellaneous)Q4
Statistics, Probability and UncertaintyQ4
Subject Classification
Scopus Categories
Computer Science (miscellaneous)Information Systems and ManagementStatistics, Probability and Uncertainty
Research Topics (OpenAlex)
Data Mining and Machine Learning ApplicationsInformation Retrieval and Data MiningEdcuational Technology SystemsSmart Agriculture and AITechnology Adoption and User BehaviourNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesComputer Science and EngineeringTechnology-Enhanced Education StudiesIoT and Edge/Fog Computing