About the Journal

Journal of AI Analytics and Applications
About the Journal
The Journal of AI Analytics and Applications (JAIAA) is an international, peer-reviewed, open-access journal dedicated to research on the development, analysis, evaluation, and practical application of artificial intelligence methods, systems, and data-driven analytical technologies.
Journal Profile
Key Publication Information
ISSN
3067-7386
Online
Publication Frequency
Quarterly
Four issues per year
Peer Review
Double-Blind
Independent peer review
Language
English
Academic English
Access Model
Open Access
Immediate online access
License
CC BY 4.0
Creative Commons Attribution
Academic Focus
Aims & Scope

JAIAA publishes original research, reviews, and application-oriented studies addressing the development, analysis, evaluation, and practical deployment of artificial intelligence methods and systems.

The journal provides a scholarly forum for work that connects advances in artificial intelligence with rigorous data analytics, methodological innovation, trustworthy evaluation, and meaningful real-world applications.

JAIAA welcomes theoretical, methodological, empirical, computational, interdisciplinary, and applied research across the AI lifecycle, from model development and analytical evaluation to deployment, governance, human interaction, and domain-specific implementation.

Particular emphasis is placed on studies that demonstrate methodological or analytical contribution, transparent evaluation, reproducibility, responsible AI practice, and a clear relationship between technical innovation and practical or societal value.

Research Areas
Scope of the Journal
  • Artificial intelligence and machine learning
  • Deep learning and neural networks
  • Generative AI and large language models
  • Agentic AI and autonomous intelligent systems
  • Natural language processing
  • Computer vision and multimodal intelligence
  • Explainable, trustworthy, and responsible AI
  • AI safety, robustness, reliability, and uncertainty analysis
  • AI-enabled cybersecurity and vulnerability analytics
  • Data analytics, predictive analytics, and intelligent decision support
  • Knowledge graphs, reasoning, and retrieval-augmented generation
  • Reinforcement learning and adaptive intelligent systems
  • Edge AI, distributed AI, and federated learning
  • AI for digital twins, cyber-physical systems, and intelligent manufacturing
  • AI applications in healthcare, finance, education, engineering, business, and public services
  • Human–AI interaction and AI-assisted decision-making
  • AI governance, ethics, privacy, and regulatory considerations
  • Evaluation, benchmarking, validation, and reproducibility of AI systems
Scope Keywords
Core Research Keywords
Artificial Intelligence Machine Learning Deep Learning Generative AI Large Language Models Agentic AI Natural Language Processing Computer Vision Multimodal AI Data Analytics Predictive Analytics Explainable AI Trustworthy AI AI Safety AI Governance Digital Twins Federated Learning Human–AI Interaction
Publication Formats
Article Types
Research Article
Original theoretical, methodological, empirical, computational, or applied AI research.
Review Article
Critical, systematic, bibliometric, methodological, integrative, or meta-analytic reviews.
Short Communication
Concise reports of significant methodological, technical, analytical, or application findings.
Case Study
Scholarly analyses of real-world AI systems, implementations, deployments, and applications.
Detailed manuscript length, structure, and preparation requirements are provided in the Author Guidelines .
Editorial Standards
Double-Blind Peer Review

JAIAA operates a double-blind peer-review model. The identities of authors and reviewers are concealed from each other during the review process.

Manuscripts are first evaluated by the editorial team for relevance to the journal's scope, scholarly quality, research integrity, and basic submission requirements.

Manuscripts that pass editorial screening are normally evaluated by at least two independent reviewers with appropriate subject expertise.

Editorial decisions may include acceptance, minor revision, major revision, or rejection. Final editorial responsibility rests with the Editor-in-Chief and authorized editors acting under the journal's published editorial policies.

Access & Reuse
Open Access and Licensing

JAIAA is a fully open-access journal. Published articles are freely available online without subscription or access charges.

Authors retain copyright in their published work. Articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, and adaptation provided that appropriate attribution is given to the original authors and source.

Publisher
Institute of Advanced Technology and Green Innovation

JAIAA is published by the Institute of Advanced Technology and Green Innovation (INATGI). The publisher provides the journal's administrative, technical, production, policy, metadata, and digital publishing infrastructure while academic editorial decisions remain under the authority of the journal's editorial leadership.