This journal publishes research on the application of artificial intelligence and machine learning techniques to analyze and manage various forms of data, including text, images, and audio-visual information. Articles explore topics such as natural language processing, multimodal emotion identification, deepfake detection, and the ethical governance of AI, often focusing on improving data quality, understanding user behavior, and developing novel analytical frameworks.
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.
Computer Science (miscellaneous)Q2
Library and Information SciencesQ2
Subject Classification
Web of Science Categories
Information Science & Library Science
Scopus Categories
Computer Science (miscellaneous)Library and Information Sciences
Research Topics (OpenAlex)
Digital Marketing and Social MediaTechnology Adoption and User BehaviourData Quality and Managementscientometrics and bibliometrics researchResearch Data Management PracticesMisinformation and Its ImpactsBig Data and Business IntelligenceTopic ModelingAdvanced Text Analysis TechniquesSentiment Analysis and Opinion Mining