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IAES International Journal of Artificial Intelligence | 2024 Cite Score:3.2 | Q2

IAES International Journal of Artificial Intelligence With Cite Score

Cite Score and Journal Rank of IAES International Journal of Artificial Intelligence

  • About: The IAES International Journal of Artificial Intelligence (IJ-AI) is a peer-reviewed academic journal dedicated to publishing high-quality research articles, reviews, and case studies in the field of artificial intelligence (AI). The journal covers a wide range of topics within AI, including machine learning, neural networks, natural language processing, robotics, intelligent systems, and AI applications. IJ-AI serves as a platform for researchers, academics, and practitioners to share their innovative research and advancements in various aspects of artificial intelligence.
  • Objective:
    The primary objective of the IAES International Journal of Artificial Intelligence is to disseminate cutting-edge research and developments in artificial intelligence. The journal aims to foster the exchange of ideas and knowledge among researchers and practitioners to address the challenges and opportunities in the field. IJ-AI seeks to contribute to the advancement of theories, methodologies, and practices that enhance the application of AI in solving real-world problems and improving technological innovations.
  • Interdisciplinary Approach:
    The IAES International Journal of Artificial Intelligence adopts an interdisciplinary approach by encompassing research from various fields related to artificial intelligence, including computer science, mathematics, cognitive science, and engineering. This approach ensures a comprehensive exploration of problems and solutions at the intersection of these disciplines. The journal encourages contributions that integrate insights from multiple areas to address complex issues related to the design, development, and application of AI-based systems and technologies.
  • Impact:
    The journal has a significant impact on the research community and the practice of artificial intelligence by providing a platform for the publication of innovative research and practical solutions. IJ-AI is widely cited by researchers, practitioners, and policymakers interested in the latest advancements in AI. The research published in the journal informs the development of policies, guidelines, and best practices that enhance the integration of AI in various industries, ultimately contributing to more efficient and effective technological solutions.
  • Significance:
    The IAES International Journal of Artificial Intelligence plays a crucial role in advancing the understanding and practice of artificial intelligence. Its focus on both theoretical and practical aspects makes it an essential resource for researchers, academics, and practitioners. By facilitating the exchange of knowledge and ideas, IJ-AI supports the development of innovative strategies and technologies that promote the growth and improvement of interdisciplinary research and applications, ultimately contributing to more efficient and effective solutions in AI and its related fields.

  • Editor-in-Chief:  Prof. Dr. Eugene Yu-Dong Zhang

  • Scope: The IAES International Journal of Artificial Intelligence (IJ-AI) is dedicated to publishing high-quality research articles, review papers, and case studies in the field of artificial intelligence (AI). The journal focuses on a broad spectrum of topics within AI, providing a platform for researchers, practitioners, and academics to share their latest findings and developments. The scope of the journal includes, but is not limited to, the following areas:
  • Artificial Intelligence Theory and Applications: Research on foundational theories, methodologies, and algorithms in AI, as well as practical applications in various domains.
  • Machine Learning: Studies on supervised, unsupervised, and reinforcement learning, including neural networks, deep learning, and their applications.
  • Natural Language Processing (NLP): Research on language models, text mining, machine translation, sentiment analysis, and other NLP techniques.
  • Computer Vision: Studies on image processing, object recognition, facial recognition, and video analysis using AI techniques.
  • Robotics and Automation: Research on robotic systems, autonomous agents, control systems, and the application of AI in robotics.
  • Expert Systems: Studies on the design and implementation of expert systems, knowledge representation, and reasoning.
  • Intelligent Systems: Research on the development of intelligent systems, including intelligent decision support systems, intelligent control systems, and intelligent tutoring systems.
  • Data Mining and Knowledge Discovery: Studies on data mining techniques, knowledge discovery in databases, pattern recognition, and big data analytics.
  • Fuzzy Logic and Soft Computing: Research on fuzzy systems, neural networks, evolutionary computing, and hybrid intelligent systems.
  • AI in Healthcare: Studies on the application of AI in medical diagnosis, treatment planning, healthcare management, and bioinformatics.
  • AI in Education: Research on AI-driven educational technologies, adaptive learning systems, and intelligent tutoring systems.
  • AI in Business and Industry: Studies on the application of AI in business processes, finance, marketing, supply chain management, and manufacturing.
  • AI Ethics and Governance: Research on ethical issues, governance frameworks, and policy implications related to the development and deployment of AI technologies.
  • Latest Research Topics for PhD in Machine Learning
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  • Latest Research Topics for PhD in Data Mining
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  • Print ISSN:  2089-4872

    Electronic ISSN:  2252-8938

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computer Science, Artificial Intelligence, Decision Sciences, Information Systems and Management, Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

  • Publication Frequency:  

  • H Index:  27

  • Best Quartile:

    Q1:  

    Q2:  Artificial Intelligence

    Q3:  

    Q4:  

  • Cite Score:  3.2

  • SNIP:  0.811

  • Journal Rank(SJR):  0.341