Editor's Comparative Analysis
When choosing between Big Data Mining and Analytics and Engineering Reports, researchers should consider the trade-off between prestige (Engineering Reports leads with an IF of ) and cost-efficiency, as Big Data Mining and Analytics is a Diamond Open Access venue.
Big Data Mining and Analytics is published in CN, while Engineering Reports is headquartered in GB. Both titles are verified via the JournalsHub Live Indexing Tracker for 2026.
| Academic Metric | Big Data Mining and Analytics | Engineering Reports |
|---|---|---|
| General Information | ||
| Publisher | Tsinghua University Press | Wiley |
| Country of Origin | CN | GB |
| Established | 2022 | 2019 |
| Editor-in-Chief | See Website | See Website |
| Scientific Influence | ||
| Current Impact Factor | N/A | N/A |
| Indexing Status |
DOAJ
|
DOAJ
|
| Review Speed (Decision) |
38 days
Fast-Track
|
105 days
Standard
|
| Acceptance Rate | N/A | N/A |
| Access & Publication Fees | ||
| Open Access Type | Full OA | Full OA |
| APC Fee (Estimated) | FREE (Diamond) | $1,970.00 |
Historical Impact Factor Comparison
No historical impact factor data available for these journals yet.
About Big Data Mining and Analytics
Big Data Mining and Analytics is a prominent academic journal specializing in Electronic computers. Computer science. Published by Tsinghua University Press in CN, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by ISSN 2096-0654. The journal aims …
View Full ProfileAbout Engineering Reports
Engineering Reports is a prominent academic journal specializing in Electronic computers. Computer science and Engineering (General). Civil engineering (General). Published by Wiley in GB, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by ISSN 2577-8196. The journal …
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