About the journal
Malaysian Journal of Computing is an open-access journal published by UiTM Press in Malaysia, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 20 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- UiTM Press
- ISSN
- 2231-7473 · 2600-8238
- Country
- Malaysia
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 169
- Declared review time
- 20 weeks
- Declared peer-review model
- double_blind
- Official website
- https://mjoc.uitm.edu.my/
Index listings
- DOAJ · 2023-01-13
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 20 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
169
Most recent article
11 months ago
Average review time (journal-declared via DOAJ)
20weeks
Works in OpenAlex
183
Last recorded publication year
2025
h-index
8
i10-index
7
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2023-01-13
- Added to DOAJ
- 2023-01-13
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- Portico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 6%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity2
- Alternate titles
- MJoC
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Technology Adoption and User Behaviour
- Technology Adoption and User Behaviour
- Stock Market Forecasting Methods
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- COVID-19 epidemiological studies
- Forecasting Techniques and Applications
- COVID-19 epidemiological studies
Show all subjects (50)
- Mathematical and Theoretical Epidemiology and Ecology Models
- Mathematical and Theoretical Epidemiology and Ecology Models
- Imbalanced Data Classification Techniques
- Optimization and Mathematical Programming
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- Optimization and Mathematical Programming
- Artificial Intelligence in Healthcare
- Fractional Differential Equations Solutions
- Fractional Differential Equations Solutions
- Spectroscopy and Chemometric Analyses
- Islamic Finance and Banking Studies
- Spectroscopy and Chemometric Analyses
- Islamic Finance and Banking Studies
- Urban Transport Systems Analysis
- IoT-based Smart Home Systems
- IoT-based Smart Home Systems
- Digital Marketing and Social Media
- Iterative Methods for Nonlinear Equations
- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Vehicle Routing Optimization Methods
- Urban Transport Systems Analysis
- Vehicle Routing Optimization Methods
- Spam and Phishing Detection
- Sentiment Analysis and Opinion Mining
- Iterative Methods for Nonlinear Equations
- Digital Marketing and Social Media
- Spam and Phishing Detection
- Sentiment Analysis and Opinion Mining
- Network Security and Intrusion Detection
- Construction Project Management and Performance
- Customer Service Quality and Loyalty
- Natural Language Processing Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Multi-Criteria Decision Making
- Customer Service Quality and Loyalty
- Multi-Criteria Decision Making
- Construction Project Management and Performance
- Topic Modeling
Keywords (DOAJ)
- computer science
- information systems
- information technology
- computer technology & networking
- computational mathematics
- statistic & analytics
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