SCOPUS
Big Data Mining and Analytics
Tsinghua University Press, China
Big Data Mining and Analytics is an academic journal published by Tsinghua University Press (China). Identifiers: ISSN 2096-0654, eISSN 2097-406X. Indexed in SCOPUS. Metrics: CiteScore 19.8, SJR 1.334, SNIP 2.83. tlooto lists 192 papers from this journal.
CiteScore
19.80
Scopus citation metric
SJR
1.334
SCImago rank
SNIP
2.83
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2096-0654
- eISSN
- 2097-406X
- Abbreviation
- -
- Publisher
- Tsinghua University Press
- Country
- China
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
1702170517061710
Papers in this journal
Recent papers
- TDP-FKGC: Task-Guided Diffusion Prototype Network for Few Shot Knowledge Graph Completion
2026
- Towards Artificial Intelligence for Science: A Case Study of Using ChatGPT for Disease Causality Discovery from Biomedical Literature
2026 · 1 citations
- Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
2026
- You Only Forward Once: Prediction and Rationalization in a Single Forward Pass
2026
- Enhancing Distance Entropy Preservation via $\boldsymbol{L}^{2}$ Normalization and Geodesic Distances in High-Dimensional Single-Cell Data Visualization
2026
Most cited papers
- Data-Driven Agent-Based Model for Public Opinion Propagation Simulation in Cyberbullying
2025 · 8 citations
- LSTM-KAN: Revolutionizing Indoor Visible Light Localization with Robust Sequence Learning
2025 · 8 citations
- A Survey on Data Asset Value Change Estimation and Appreciation with Data Governance
2025 · 8 citations
- Dynamic Batch Processing with FlexiDecode Scheduler for Efficient LLM Inference in IIoT
2025 · 7 citations
- A Comparative Study of Sequence Clustering Algorithms
2025 · 7 citations