Big Data Mining and Analytics
Q1 Journal
Open Access
Diamond OA
Journal
Country
China
Asiatic Region
Subject Area and Category
Computer Science
└
Artificial Intelligence
Q1
└
Computer Networks and Communications
Q1
└
Computer Science Applications
Q1
Publisher
SJR 2025
1.458
Q1
SJR Score
H-Index
48
Citations / Doc (2yr)
8.93
Total Docs. (latest)
81
Total Citations (3yr)
1,348
Publication type
Journals
ISSN
2097406X, 20960654
Coverage
2018-2026
Journal Rank
#2,553
Subject Categories
Artificial Intelligence
Q1
Computer Networks and Communications
Q1
Computer Science Applications
Q1
Information Systems
Q1
Subject Areas
Aims & 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.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Detailed Metrics
| Total Docs. (latest) | 81 |
| Total Docs. (3 years) | 150 |
| Total Refs. | 4,549 |
| Total Citations (3 years) | 1,348 |
| Citable Docs. (3 years) | 144 |
| Citations / Doc. (2 years) | 8.93 |
| Ref. / Doc. | 56.16 |
| % Female | 35.2% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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