Academic Journal
Q1Big Data Mining and Analytics
About Big Data Mining and Analytics
Big Data Mining and Analytics is a scholarly journal published by Tsinghua University Press. SCImago 2025 lists it in Q1, with an SJR of 1.458 and H-index of 48.
Coverage: 2018-2026. Research categories: Artificial Intelligence (Q1); Computer Networks and Communications (Q1); Computer Science Applications (Q1); Information Systems (Q1).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2025-01-06. This snapshot does not establish today’s listing status or fee quotation.
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Source-backed journal facts
Topics in published research
Anomaly Detection Techniques and Applications; Topic Modeling; Complex Network Analysis Techniques; Advanced Graph Neural Networks; Privacy-Preserving Technologies in Data; Recommender Systems and Techniques.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
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September 25, 2026 at 7:29 am
September 25, 2026