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  Cluster 2: Engineering, Technology & Applied Sciences

Open Access Journals for AI and Data Science (2026)

AI and data science research thrives on open sharing. The most impactful advances in machine learning, deep learning, NLP, and data engineering have emerged from communities that share code, data, and findings openly. Open access publication aligns perfectly with this ethos — ensuring your AI and data science research is freely accessible to researchers, practitioners, and developers worldwide who can replicate, build on, and apply your contributions.

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What to Look for When Choosing a Journal

Before submitting your research, evaluate journals on these key criteria:

  • Fully open access — no reader subscription, paywall, or institutional barrier
  • Creative Commons CC BY 4.0 licence allowing broad sharing and reuse
  • Indexed in Google Scholar, CrossRef, and open access directories
  • Wide dissemination to both academic and industry engineering audiences
  • DOI (CrossRef) assignment for permanent, citable article identification
  • Affordable APC with waiver options for eligible researchers

Recommended Journals — Cluster 2: Engineering, Technology & Applied Sciences

All journals below are published by Keith Publications — open access, peer-reviewed, and indexed for global discoverability.

  • Applied Sciences, Engineering, and Technology Journal (ASETJ)

    Applied sciences, engineering disciplines, technology innovation, and interdisciplinary research bridging theory with real-world application.

    Review: 2–4 weeks Open Access DOI (CrossRef) Google Scholar
    Applied Sciences Engineering Research Technology Innovation Interdisciplinary Studies
  • Columbia Journal of Engineering and Technology (CJET)

    Electrical, mechanical, civil, computer, software, environmental, and industrial engineering with a focus on emerging technologies.

    Review: 2–3 weeks Open Access DOI (CrossRef) Google Scholar
    Electrical Engineering Mechanical Engineering Civil Engineering Computer Engineering
  • Journal of Medical Technology and Innovation (JMTI)

    Medical technology, biomedical engineering, health informatics, clinical innovation, and translational research at the medicine-technology interface.

    Review: 2–4 weeks Open Access DOI (CrossRef) Google Scholar
    Medical Technology Biomedical Engineering Health Informatics Clinical Innovation

Fast Publication: All Keith Publications journals complete initial review within 2–5 business days and full peer review within 2–4 weeks. Articles are published online within 5–10 days of acceptance — making us one of the fastest open access publishers in the engineering and technology field.

Why Open Access Publishing Benefits Engineering Researchers

Open access publication is especially powerful for engineering and technology research. Your innovations, methodologies, and experimental findings become freely accessible to engineers, developers, startups, policymakers, and researchers worldwide — not just those at institutions with expensive journal subscriptions. Studies consistently show that open access engineering articles receive significantly more downloads and citations than subscription-based equivalents. Keith Publications engineering and technology journals are fully open access, ensuring every published article achieves maximum readership and real-world impact from day one of publication.

Understanding the CC BY 4.0 Licence for Engineering Research

All Keith Publications journals publish under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. This means anyone — engineers, practitioners, startups, researchers, or educators — can freely read, share, download, and adapt your research for any purpose, including commercial use, as long as they credit the original authors. This licence is endorsed by major research funders, universities, and engineering institutions worldwide. It maximises the societal and commercial impact of your research and fully complies with open access mandates from grant funding bodies.

Tips to Maximise Your Acceptance Chances

  1. Align your topic with the journal's scope — read the aims and scope carefully before submitting.
  2. Write a compelling abstract — it's the first thing editors and reviewers read. Make it clear, concise, and keyword-rich.
  3. Ensure strong methodology — clearly describe your research design, experimental setup, or computational approach.
  4. Use current and relevant citations — include recent publications (within the last 5 years) alongside seminal engineering works.
  5. Follow formatting guidelines exactly — non-compliant manuscripts are often desk-rejected without review.
  6. Present results clearly — use tables, figures, and graphs to communicate quantitative findings effectively.
  7. State practical implications — explain how your engineering or technology findings can be applied in practice.

Frequently Asked Questions

What are the best open access journals for AI and data science?
The Columbia Journal of Engineering and Technology (CJET) and Applied Sciences, Engineering, and Technology Journal (ASETJ) from Keith Publications are the best open access journals for AI and data science — fully open access, double-blind peer-reviewed, and Google Scholar indexed.
Can I publish machine learning research in open access engineering journals?
Yes. Machine learning algorithms, deep learning architectures, NLP systems, computer vision, and applied AI engineering research are all within scope for open access publication at CJET and ASETJ.
Are open access AI journals cited in academic papers?
Yes. Open access AI journals indexed in Google Scholar and assigned CrossRef DOIs are fully citable in academic papers. Open access articles often receive more citations than subscription-restricted equivalents because of their broader readership.
Is data science research with code or datasets accepted in open access journals?
Yes. Keith Publications encourages authors to share code repositories and datasets alongside their data science research papers, enhancing reproducibility and maximising the community impact of published findings.

Ready to Publish Your Research?

Submit your engineering, technology, or applied sciences manuscript to Keith Publications today. Fast peer review, open access, and global indexing — get your work published within weeks.

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