Big Data Mining and Analytics Journal Citation Rate 2026
2096-0654
eISSN 2097-406X
Tsinghua University Press
CN
Q1 Quartile Open Access Diamond OA Top Tier Fast Review
About Big Data Mining and Analytics
Big Data Mining and Analytics (BDMA) is a peer-reviewed academic journal covering Electronic computers. Computer science, published by Tsinghua University Press in CN and in circulation since 2022. It is catalogued under ISSN 2096-0654 (electronic ISSN 2097-406X).
Authors typically receive a first decision in around 38 days.
Big Data Mining and Analytics Citation Rate 2026 — In Context
Big Data Mining and Analytics has a 2025 2-Year Citation Rate (OpenAlex) of 6.04, placing it in the Q1 quartile within the Electronic computers. Computer science research area. This is the average number of citations the journal's recent articles received over a two-year window, computed from OpenAlex open citation data — not a OpenAlex Journal Impact Factor.
As a fully open-access publication, Big Data Mining and Analytics makes all articles freely available to readers. Average submission-to-decision turnaround is approximately 38 days — fast by sector standards.
Researchers looking to publish in Big Data Mining and Analytics should review the journal's submission tips and verify the latest indexing status against Scopus, DOAJ, and Web of Science using our indexing tracker. To compare Big Data Mining and Analytics against similar journals in the field, use our journal comparison tool.
Submission Tips for Big Data Mining and Analytics
- The average time from submission to first decision is 38 days, which is moderate for the field.
- As a Diamond Open Access journal, there are no publication fees — an excellent choice for researchers without grant funding.
- This journal covers Electronic computers. Computer science. Ensure your manuscript aligns with these scope areas to avoid desk rejection.
How Big Data Mining … Compares
Compared against 12 journals in the same research areas.
| ISSN (Print) | 2096-0654 |
|---|---|
| ISSN (Online) | 2097-406X |
| Publisher | Tsinghua University Press |
| Country | China |
| Established | 2022 |
| APC / Cost | Free (Diamond) |
| Review Speed | ~38 days to first decision |
| DOAJ | Listed |
In-depth profile & metrics
Big Data Mining and Analytics is published by Tsinghua University Press, based in China and in publication since 2022. It is a Diamond Open Access title, free for both readers and authors.
In our subject taxonomy, Big Data Mining and Analytics is classified under Electronic computers. Computer science.
Big Data Mining and Analytics is indexed in the DOAJ. DOAJ listing confirms the journal's open-access policies have been independently vetted.
For prospective authors, Big Data Mining and Analytics returns a first decision in about 38 days (moderate for its field).
Its most recent citation rate stands at 6.039.
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Frequently Asked Questions about Big Data Mining and Analytics
Live Indexing Status
Updated July 2026Track real-time indexing metrics to ensure this journal meets your academic requirements.
Citation Rate
Historical Trend
Initial data points onlyCitation Rate by Year
| Year | Value | Source |
|---|---|---|
| 2025 | 6.039 | 2-Year Mean Citedness (OpenAlex) |
Metrics are sourced from OpenAlex, DOAJ and Scopus and reflect the latest data we hold. The headline figure is a 2-year citation rate (OpenAlex), not a Clarivate Impact Factor. Always verify against the journal's official site before relying on it. See our Methodology or report a correction.
Journal Metrics
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Metadata
Last updated: Jul 26, 2026
Updated by: system
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