Big Data Mining and Analytics

SJR Rank #2,553H-index: 48SJR: 1.458Best quartile: Q1Open Access (Diamond, no APC)Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Tsinghua University Press

Country

China

Type

journal

SJR by Edition

2022202500.651.31.952.6

Subject Categories

  • Artificial IntelligenceQ1
  • Computer Networks and CommunicationsQ1
  • Computer Science ApplicationsQ1
  • Information SystemsQ1

Areas: Computer Science

Most published research topics

Anomaly Detection Techniques and ApplicationsTopic ModelingComplex Network Analysis TechniquesAdvanced Graph Neural NetworksPrivacy-Preserving Technologies in DataRecommender Systems and TechniquesMachine Learning in HealthcareComputational Drug Discovery MethodsArtificial Intelligence in HealthcareIoT and Edge/Fog Computing

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs04080120160

Documents per Year

202220250255075100

Detailed Information

ISSN

2097-406X, 2096-0654

SJR Best Quartile

Q1

Region

Asiatic Region

Citations per Document (2 years)

8.93

References per Document

56.16

Coverage

2018-2026

Scope

Big Data Mining and Analytics (Published by Tsinghua University Press) discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications.

Metrics from SCImago Journal Rank 2025. View on SCImago