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About the journal
Machine Learning. Engineering is an open-access journal published by IOP Publishing in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 2,500 GBP. Declared review time at DOAJ: 24 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- IOP Publishing
- ISSN
- 3049-4761
- Country
- United Kingdom
- Languages
- english
- Access
- Open access
- Declared publication charge
- 2,500 GBP
- Articles in DOAJ
- 38
- Declared review time
- 24 weeks
- Declared peer-review model
- double_blind
- Official website
- https://iopscience.iop.org/journal/3049-4761
Index listings
- DOAJ · 2026-05-18
- Indexing
- DOAJ
- APC
- 2,500 GBP
- Declared review time (DOAJ)
- 24 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
38
Most recent article
last month
Average review time (journal-declared via DOAJ)
24weeks
Works in OpenAlex
30
Last recorded publication year
2025
Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core
h-index
2
i10-index
0
From OpenAlex open data (CC0).
Editorial & policy12
- Added to DOAJ
- 2026-05-18
- 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
- 96%
- ORCID iDs in current deposits
- 100%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- APC waiver policy
- View policy
- Peer-review policy
- View policy
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 9919272346006676
Classification4
Subjects (DOAJ)
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardwareScience: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
LCC codes
TK7885-7895QA76.75-76.765
Subject areas
- Machine Learning in Materials Science
- Machine Learning in Materials Science
- Machine Learning in Materials Science
- Model Reduction and Neural Networks
- Fault Detection and Control Systems
- Model Reduction and Neural Networks
- Explainable Artificial Intelligence (XAI)
- Model Reduction and Neural Networks
Show all subjects (75)
- Machine Fault Diagnosis Techniques
- Neural Networks and Applications
- Industrial Vision Systems and Defect Detection
- Machine Learning and Data Classification
- Impact of AI and Big Data on Business and Society
- Advanced Neural Network Applications
- Advanced Electron Microscopy Techniques and Applications
- Artificial Intelligence Applications
- Neural Networks and Applications
- Digital Transformation in Industry
- Infrastructure Maintenance and Monitoring
- Lattice Boltzmann Simulation Studies
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Lattice Boltzmann Simulation Studies
- Advanced Materials Characterization Techniques
- Additive Manufacturing Materials and Processes
- Elasticity and Material Modeling
- Domain Adaptation and Few-Shot Learning
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Advanced Graph Neural Networks
- Data Mining and Machine Learning Applications
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Ultrasonics and Acoustic Wave Propagation
- Additive Manufacturing Materials and Processes
- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Materials Characterization Techniques
- Advanced Electron Microscopy Techniques and Applications
- Elasticity and Material Modeling
- Electrical Fault Detection and Protection
- Reliability and Maintenance Optimization
- Additive Manufacturing Materials and Processes
- Advanced Chemical Physics Studies
- Semiconductor materials and devices
- Laser-Plasma Interactions and Diagnostics
- Machine Fault Diagnosis Techniques
- Computer Graphics and Visualization Techniques
- Face and Expression Recognition
- Machine Fault Diagnosis Techniques
- Mechanical Behavior of Composites
- Robotics and Sensor-Based Localization
- Mechanical Behavior of Composites
- Organic Electronics and Photovoltaics
- Catalytic Processes in Materials Science
- Fractional Differential Equations Solutions
- Congenital Heart Disease Studies
- Advanced Combustion Engine Technologies
- Advanced Combustion Engine Technologies
- Teaching and Learning Programming
- Face and Expression Recognition
- Topic Modeling
- Robotics and Sensor-Based Localization
- Advanced Memory and Neural Computing
- Organic Electronics and Photovoltaics
- Mathematics Education and Teaching Techniques
- Topic Modeling
- Quantum Information and Cryptography
- Mathematics Education and Teaching Techniques
- Semiconductor materials and devices
- Advanced Combustion Engine Technologies
- Laser-Plasma Interactions and Diagnostics
- Congenital Heart Disease Studies
- Fractional Differential Equations Solutions
- Catalytic Processes in Materials Science
Keywords (DOAJ)
- machine learning
- artificial intelligence
- robotics and automation
- computer vision
- cyber‑physical systems and iot
- signal processing and control
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