Evaluation status available after sign-in
About the journal
Machine Learning with Applications is an open-access journal published by Elsevier in United Kingdom, publishing in english. It is listed in DOAJ and PUBMED according to the sources read. Declared publication charge: 2,460 USD. Declared review time at DOAJ: 14 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Elsevier
- ISSN
- 2666-8270
- Country
- United Kingdom
- Languages
- english
- Access
- Open access
- Declared publication charge
- 2,460 USD
- Articles in DOAJ
- 699
- Declared review time
- 14 weeks
- Declared peer-review model
- other
Index listings
- DOAJ · 2021-01-29
- PUBMED · 2021-12-15
- Indexing
- DOAJ · PUBMED
- APC
- 2,460 USD
- Declared review time (DOAJ)
- 14 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
- Counts for promotion at your university?
- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
Create a free account to view the evaluationJournal profile
Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
699
Most recent article
last month
Average review time (journal-declared via DOAJ)
14weeks
Works in OpenAlex
746
Last recorded publication year
2026
Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core
h-index
56
i10-index
249
From OpenAlex open data (CC0).
Editorial & policy12
- Last DOAJ review date
- 2026-04-27
- Added to DOAJ
- 2021-01-29
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Declared digital preservation
- CLOCKSSPortico
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 99%
- ORCID iDs in current deposits
- 98%
- Deposits licence metadata at Crossref
- ✓
- APC waiver policy
- View policy
- Peer-review policy
- View policy
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 9918316881306676
Classification4
Subjects (DOAJ)
Science: Science (General): CyberneticsScience: Mathematics: Instruments and machines: Electronic computers. Computer science
LCC codes
Q300-390QA75.5-76.95
Subject areas
- Advanced Neural Network Applications
- Imbalanced Data Classification Techniques
- Imbalanced Data Classification Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Anomaly Detection Techniques and Applications
- Stock Market Forecasting Methods
- Machine Learning and Data Classification
Show all subjects (75)
- Stock Market Forecasting Methods
- Topic Modeling
- Topic Modeling
- Stock Market Forecasting Methods
- Imbalanced Data Classification Techniques
- Artificial Intelligence in Healthcare
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Explainable Artificial Intelligence (XAI)
- Neural Networks and Applications
- Machine Learning and Data Classification
- Advanced Neural Network Applications
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Sentiment Analysis and Opinion Mining
- Sentiment Analysis and Opinion Mining
- Data Mining and Machine Learning Applications
- Explainable Artificial Intelligence (XAI)
- Sentiment Analysis and Opinion Mining
- Forecasting Techniques and Applications
- AI in cancer detection
- Machine Learning in Materials Science
- Time Series Analysis and Forecasting
- Forecasting Techniques and Applications
- Forecasting Techniques and Applications
- Industrial Vision Systems and Defect Detection
- AI in cancer detection
- Model Reduction and Neural Networks
- AI in cancer detection
- Machine Learning in Healthcare
- Financial Markets and Investment Strategies
- Machine Learning in Healthcare
- Adversarial Robustness in Machine Learning
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- Emotion and Mood Recognition
- Network Security and Intrusion Detection
- Time Series Analysis and Forecasting
- Financial Distress and Bankruptcy Prediction
- Financial Distress and Bankruptcy Prediction
- Medical Image Segmentation Techniques
- Domain Adaptation and Few-Shot Learning
- Hydrological Forecasting Using AI
- Network Security and Intrusion Detection
- Artificial Intelligence in Healthcare and Education
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Neural Networks and Applications
- Neural Networks and Applications
- Energy Load and Power Forecasting
- Energy Load and Power Forecasting
- Model Reduction and Neural Networks
- Face recognition and analysis
- COVID-19 diagnosis using AI
- COVID-19 diagnosis using AI
- Natural Language Processing Techniques
- Natural Language Processing Techniques
- Infrastructure Maintenance and Monitoring
- Infrastructure Maintenance and Monitoring
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Advanced Text Analysis Techniques
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence in Healthcare and Education
Keywords (DOAJ)
- machine learning
- data mining
- computer vision
- natural language processing
- neural networks
- artificial intelligence
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
Loading community confirmations…
The journal's record in other sources:Web of Science MJLDOAJ