Journal of Artificial Intelligence in Engineering Practice
The Scientific Association for Studies and Applied Research
About the journal
Journal of Artificial Intelligence in Engineering Practice is an open-access journal published by The Scientific Association for Studies and Applied Research in Egypt, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 7 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- The Scientific Association for Studies and Applied Research
- ISSN
- 3009-7452 · 3009-7002
- Country
- Egypt
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 0
- Declared review time
- 7 weeks
- Declared peer-review model
- double_blind
- Official website
- https://jaiep.journals.ekb.eg/
Index listings
- DOAJ · 2025-11-20
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 7 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
0
Average review time (journal-declared via DOAJ)
7weeks
Works in OpenAlex
38
Last recorded publication year
2025
h-index
5
i10-index
4
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2025-11-20
- Added to DOAJ
- 2025-11-20
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Declared digital preservation
- Internet Archive
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
- Peer-review policy
- View policy
Identity & continuity2
- Alternate titles
- Journal of Artificial Intelligence in Engineering Practice (Online
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Topic Modeling
- Topic Modeling
- AI in cancer detection
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- COVID-19 diagnosis using AI
- Online Learning and Analytics
- COVID-19 diagnosis using AI
Show all subjects (50)
- Energy Load and Power Forecasting
- Online Learning and Analytics
- AI in cancer detection
- Advanced Malware Detection Techniques
- Information and Cyber Security
- Machine Learning in Bioinformatics
- Natural Language Processing Techniques
- Network Security and Intrusion Detection
- Smart Agriculture and AI
- Spam and Phishing Detection
- Smart Systems and Machine Learning
- Machine Learning in Healthcare
- Energy Load and Power Forecasting
- Smart Agriculture and AI
- Machine Learning in Bioinformatics
- Machine Learning in Healthcare
- Smart Systems and Machine Learning
- Spam and Phishing Detection
- Solar Radiation and Photovoltaics
- Information and Cyber Security
- Natural Language Processing Techniques
- Sensorless Control of Electric Motors
- Multilevel Inverters and Converters
- Metaheuristic Optimization Algorithms Research
- Advanced Neural Network Applications
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Sensorless Control of Electric Motors
- Genomics and Phylogenetic Studies
- Advanced Neural Network Applications
- Cardiac electrophysiology and arrhythmias
- Dementia and Cognitive Impairment Research
- Lung Cancer Diagnosis and Treatment
- Neural Networks and Applications
- Dementia and Cognitive Impairment Research
- Lung Cancer Diagnosis and Treatment
- Cardiac electrophysiology and arrhythmias
- Digital Marketing and Social Media
- RNA and protein synthesis mechanisms
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Multilevel Inverters and Converters
Keywords (DOAJ)
- engineering
- machine learning
- deep learning
- data analysis
- computer science
- artificial intelligence
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