About the journal
Big Data Mining and Analytics is an open-access journal published by Tsinghua University Press in China, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 8 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Tsinghua University Press
- ISSN
- 2096-0654 · 2097-406X
- Country
- China
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 411
- Declared review time
- 8 weeks
- Declared peer-review model
- peer_review
- Official website
- https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253
Index listings
- DOAJ · 2022-04-26
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 8 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
411
Most recent article
last month
Average review time (journal-declared via DOAJ)
8weeks
Works in OpenAlex
398
Last recorded publication year
2026
h-index
53
i10-index
183
From OpenAlex open data (CC0).
Editorial & policy9
- Last DOAJ review date
- 2025-01-06
- Added to DOAJ
- 2022-04-26
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 96%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity2
- Alternate titles
- Dashuju wajue yu fenxi
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Anomaly Detection Techniques and Applications
- Anomaly Detection Techniques and Applications
- Complex Network Analysis Techniques
- Complex Network Analysis Techniques
- Topic Modeling
- Topic Modeling
- Advanced Graph Neural Networks
- Advanced Graph Neural Networks
Show all subjects (50)
- Privacy-Preserving Technologies in Data
- Privacy-Preserving Technologies in Data
- Machine Learning in Healthcare
- Machine Learning in Healthcare
- Recommender Systems and Techniques
- Recommender Systems and Techniques
- Computational Drug Discovery Methods
- Computational Drug Discovery Methods
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Healthcare
- IoT and Edge/Fog Computing
- IoT and Edge/Fog Computing
- COVID-19 diagnosis using AI
- Face and Expression Recognition
- Network Security and Intrusion Detection
- Network Security and Intrusion Detection
- Face and Expression Recognition
- COVID-19 diagnosis using AI
- Sentiment Analysis and Opinion Mining
- Cloud Computing and Resource Management
- Sentiment Analysis and Opinion Mining
- Cloud Computing and Resource Management
- Machine Learning in Bioinformatics
- Machine Learning in Bioinformatics
- Imbalanced Data Classification Techniques
- AI in cancer detection
- Imbalanced Data Classification Techniques
- AI in cancer detection
- Brain Tumor Detection and Classification
- Brain Tumor Detection and Classification
- Human Mobility and Location-Based Analysis
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Radiomics and Machine Learning in Medical Imaging
- Radiomics and Machine Learning in Medical Imaging
- Human Mobility and Location-Based Analysis
- Data Mining Algorithms and Applications
- Data Mining Algorithms and Applications
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Advanced Neural Network Applications
Keywords (DOAJ)
- data science
- data mining
- big data
- artificial intelligence
- computer science
- machine learning
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ