JOURNAL OF MACHINE LEARNING RESEARCH, published by MICROTOME PUBL, stands as a premier journal in the realms of Artificial Intelligence, Control and Systems Engineering, Software, and Statistics and Probability. With an impressive Q1 ranking across multiple categories and a prominent Scopus ranking that places it among the top journals in its field—ranked 1st in Mathematics and 20th in both Artificial Intelligence and Software—this journal serves as a vital resource for cutting-edge research and advancements in machine learning. Established in 2001, it has been committed to disseminating high-quality research findings and innovative methodologies, addressing the evolving challenges and opportunities in machine learning. Furthermore, the journal maintains a rigorous peer-review process, ensuring that only the most significant contributions are published. With open access options available and a strong user-friendly platform, it invites researchers, professionals, and students to engage deeply with the pioneering work in the field.

The Journal of Experimental & Theoretical Artificial Intelligence, published by Taylor & Francis Ltd, serves as a premier platform for researchers and professionals interested in advancing the fields of artificial intelligence, software engineering, and theoretical computer science. Established in 1989, this peer-reviewed journal features original research and comprehensive reviews that explore innovative methodologies and emerging trends within these dynamic domains. With an impact factor that reflects its relevance, the journal currently ranks in Q3 across its categories, affirming its contributions to the scholarly community. The journal's commitment to quality and rigor invites submissions that bridge experimental and theoretical frameworks, thus fostering a deeper understanding of AI's applications and implications. Researchers and students can access insightful articles that drive critical discussions and inspire future work, making this journal an essential resource for anyone looking to delve into the complexities of artificial intelligence and its surrounding disciplines.

Progress in Artificial Intelligence is a leading journal published by SpringerNature, dedicated to advancing knowledge and research in the field of artificial intelligence. With a strong emphasis on the latest developments from 2012 through 2024, this journal enjoys a prominent position, holding a Q2 ranking in the prestigious Artificial Intelligence category for 2023, as well as achieving an impressive ranking of 64 out of 350 in the Computer Science - Artificial Intelligence category on Scopus, placing it in the 81st percentile. Progress in Artificial Intelligence serves as an essential platform for researchers, professionals, and students seeking to share innovative algorithms, applications, and theoretical advancements. Although it operates under a subscription model, its commitment to disseminating high-quality research and fostering collaboration in the AI community significantly contributes to the ongoing evolution of this exciting discipline.

NEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.

AI COMMUNICATIONS is a distinguished journal published by IOS PRESS, focusing on the dynamic field of Artificial Intelligence. With a rich history dating back to 1987, this journal covers a broad spectrum of topics, including the latest advancements in AI methodologies, applications, and implications for society. Despite holding a Q3 classification in the 2023 category of Artificial Intelligence, it provides an essential platform for dialogue and dissemination of research, highlighted by its global accessibility in the realm of AI communications. Researchers, professionals, and students alike will find a wealth of knowledge within its pages, which aim to bridge the gap between cutting-edge research and practical applications in AI. By contributing to this journal, authors have the potential to engage with a diverse audience and impact the ongoing discourse surrounding artificial intelligence technologies.

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

Machine Learning-Science and Technology is a premier open-access journal published by IOP Publishing Ltd, dedicated to advancing the field of artificial intelligence, human-computer interaction, and software development. Since its inception in 2020, this innovative journal has established itself as a critical resource for researchers, professionals, and students alike, achieving a commendable Q1 ranking across multiple categories in 2023. With an impressive Scopus ranking—#70 out of 407 in Computer Science Software, #26 out of 145 in Human-Computer Interaction, and #73 out of 350 in Artificial Intelligence—it provides a platform for cutting-edge research and significant advancements in machine learning technologies. Accessibility as an open-access journal since its launch ensures that the latest findings are freely available to a broader audience, fostering collaboration and knowledge-sharing within the scientific community. The journal aims to cover a wide spectrum of topics within its scope, encouraging submissions that push the boundaries of what is possible in machine learning applications. By fostering an environment of innovation, Machine Learning-Science and Technology stands at the forefront of this rapidly evolving field, shaping the future of technology and its interaction with society.

ACM Transactions on Intelligent Systems and Technology, published by the Association for Computing Machinery (ACM), is a leading peer-reviewed journal dedicated to the rapid dissemination of innovative research in the fields of Artificial Intelligence and Theoretical Computer Science. With an impressive Impact Factor and a strong H-Index, it boasts a premier standing in the academic community, being ranked Q1 in both AI and Theoretical Computer Science categories as of 2023. This journal serves as a critical platform for researchers, professionals, and students aiming to contribute to and stay informed about the latest developments in intelligent systems and technology. While there are currently no open-access options, readers can explore invaluable insights into current trends and methodologies from 2010 to 2024, making it an essential resource for anyone passionate about advancing their knowledge in these rapidly evolving domains. The journal continues to foster collaboration and innovation, reflecting the forefront of research where technology intersects with intelligent systems.

Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.

International Journal on Artificial Intelligence Tools is a pivotal platform for disseminating innovative research in the field of artificial intelligence, published by World Scientific Publishing Co. PTE LTD. Established in 2005 and running through to 2024, this journal maintains a focus on evolving AI methodologies and applications that drive technological advancement. Though currently ranked in the fourth quartile of artificial intelligence journals and holding a Scopus rank of #256 among 350 in the Computer Science category, it offers a unique avenue for researchers, professionals, and students aiming to foster their understanding and engagement with AI tools. With its dedicated publication timeline, the journal encourages submissions exploring both theoretical underpinnings and practical implementations of AI technologies. While it does not subscribe to an open-access model, the journal ensures high-quality peer-reviewed content, making it an essential resource for those seeking to contribute to and learn from the evolving field of artificial intelligence.