International Journal of Artificial Intelligence & Applications (IJAIA)

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:
Topic of Interest
Machine Learning Theory and Foundations
Deep Learning Methods and Architectures
Self Supervised and Unsupervised Learning
Transfer Learning, Meta Learning, and Continual Learning
Reinforcement Learning and Decision Making
Probabilistic Modeling and Statistical Inference
Optimization Methods for AI and ML
Large Language Models (LLMs)
Multimodal Foundation Models
Generative AI for Text, Image, Audio, and Video
Retrieval Augmented Generation (RAG)
Efficient AI: Model Compression, Distillation, and Acceleration
Scaling Laws and Training Dynamics
Neurosymbolic AI and Hybrid Intelligence
Causal Inference and Causal Representation Learning
Knowledge Graphs and Structured Knowledge Integration
Automated Reasoning, Logical Inference, and Planning
Program Synthesis and Code Intelligence
Human AI Interaction and Collaboration
Human in the Loop Learning
AI Alignment and AI Safety
Trustworthy, Robust, and Secure AI
Ethical AI, Fairness, and Responsible AI
Explainable and Interpretable AI (XAI)
Federated Learning and Privacy Preserving AI
Edge AI, TinyML, and On Device Intelligence
Distributed Training and Scalable AI Systems
MLOps, Deployment, and Model Monitoring
Energy Efficient and Sustainable AI
Computer Vision and Visual Understanding
Natural Language Processing and Language Understanding
Speech and Audio Processing
Vision Language Models and Multimodal Learning
Embodied Perception and Interactive AI
Robot Learning and Adaptive Control
Embodied Intelligence and Cognitive Robotics
Autonomous Navigation and Manipulation
Sim to Real Transfer
Multi Agent Systems and Coordination
Data Mining and Knowledge Discovery
Information Retrieval and Neural Search
Graph Machine Learning
Data Centric AI and Dataset Quality
Web Intelligence and Search Technologies
AI for Bioinformatics and Computational Biology
AI for Healthcare and Medical Imaging
AI for Climate Science, Sustainability, and the Environment
AI for Physics, Chemistry, and Materials Discovery
AI for Social Good and Public Policy
Autonomous Vehicles and Intelligent Transportation
Smart Cities, IoT, and Cyber Physical Systems
Financial AI, Risk Modeling, and FinTech
Cybersecurity and Adversarial AI
Creative AI for Art, Music, and Design
Educational AI and Intelligent Tutoring Systems

Important Dates
Submission Deadline : June 07, 2026
Notification : July 06, 2026
Final Manuscript Due : July 13, 2026
Publication Date : Determined by the Editor-in-Chief

Building Knowledge That Resonates: AIRCC Achieves a 44.4% Citation Rate

For more than 17 years, the Academy and Industry Research Collaboration Center (AIRCC) has stood as a global, non profit research community dedicated to advancing knowledge without barriers. Founded by a group of visionary Computer Science & Engineering professors, AIRCC has grown into a multidisciplinary publishing hub that welcomes researchers from every corner of the world — without discrimination and without financial obstacles.

In the 2023–2024 publication cycle, AIRCC’s commitment to accessible, high quality research translated into remarkable scholarly impact:
• 1,333 total citations (2025)
• 1,562 total publications
• 693 cited publications
• 44.4% citation rate
• 0 self citations
• 0.85 average citations per publication

These numbers reflect more than academic performance — they represent trust. With zero self citations, AIRCC’s influence is driven entirely by genuine engagement from the global research community. Nearly half of all publications being cited underscores the relevance, visibility, and credibility of the work AIRCC supports.

At the heart of AIRCC’s mission is accessibility. Thousands of articles have been published free of cost or at minimal cost, with Article Processing Charges (APC) kept intentionally low. These fees cover only essential operational expenses, ensuring that researchers from all economic backgrounds can publish their work without financial strain. AIRCC’s model proves that high quality scholarly publishing does not need to be expensive — it needs to be inclusive.

AIRCC also thrives because of its community driven spirit. The organization warmly invites dedicated academicians with a service oriented mindset to join its mission. Volunteers can contribute as editors, editorial board members, or reviewers, helping shape the future of AIRCC’s journals and ensuring the continued publication of rigorous, impactful research. This is an opportunity to lead, mentor, and uplift the next generation of scholars.

AIRCC remains committed to bridging academia and industry, fostering collaboration, and empowering researchers worldwide. With a legacy built on integrity, inclusivity, and scholarly excellence, AIRCC continues to be a catalyst for global research advancement.

You can find the complete list of our journals at https://airccse.org/journal.html

User Name : theriff
Posted 04-06-2026 on 11:25:20

Related CFPs

SCAI 2026   15th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2026)

NeTIOT 2026   7th International Conference on Networks & IOT (NeTIOT 2026)

IJAIA   International Journal of Artificial Intelligence & Applications

AVC   Advances in Vision Computing: An International Journal (AVC)

MLAIJ   Machine Learning and Applications: An International Journal