The Journal of Big Data focuses on the application of machine learning and deep learning techniques to analyze complex datasets across various domains. Recent articles highlight the use of advanced models for tasks such as image reconstruction, medical image translation, driver behavior recognition, predictive maintenance, anomaly detection, and content analysis in cyber communities. The journal also features research on optimizing algorithms for parameter extraction, developing frameworks for disease detection in agriculture, and improving recommendation systems and copyright authentication for digital content.
Library of Congress; National Science Library, Chinese Academy of Sciences, Portico, CLOCKSS
✅
Plagiarism detection in place?
Yes
✅
Listed in DOAJ (verified OA)?
DOAJ verified
✅
Primary language documented?
English
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 Networks and CommunicationsQ1
Hardware and ArchitectureQ1
Information SystemsQ1
Information Systems and ManagementQ1
Subject Classification
Web of Science Categories
Computer Science, Theory & Methods
Scopus Categories
Information Systems and ManagementInformation SystemsComputer Networks and CommunicationsHardware and Architecture
Research Topics (OpenAlex)
Anomaly Detection Techniques and ApplicationsImbalanced Data Classification TechniquesNetwork Security and Intrusion DetectionSentiment Analysis and Opinion MiningMachine Learning and Data ClassificationTopic ModelingBig Data and Business IntelligenceCloud Computing and Resource ManagementComplex Network Analysis TechniquesData Stream Mining Techniques