Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

THEORY AND PRACTICE OF LOGIC PROGRAMMING, published by Cambridge University Press, is a premier academic journal that delves into the evolving field of logic programming, offering insights and advancements from 2001 to 2024. With an ISSN of 1471-0684 and an E-ISSN of 1475-3081, this journal serves as a vital resource for researchers, professionals, and students interested in areas such as artificial intelligence, computational theory, and software development. In 2023, the journal was recognized for its excellence, achieving Q1 status in Computational Theory and Mathematics and Q2 in several other categories, underscoring its significant impact within the academic community. Despite not being open access, its robust content, curated by esteemed scholars, guarantees high-quality research and innovative methodologies that are crucial for advancing the field. The journal's rigorous peer-review process and its standings in Scopus rankings further emphasize its relevance and authority, making it a quintessential platform for disseminating key findings and fostering scholarly dialogue.

The INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, published by Elsevier Science Inc, stands as a pivotal resource in the domains of applied mathematics and artificial intelligence. Since its inception in 1987, the journal has evolved into a leader in its field, boasting an impressive impact factor and ranking within the top quartile for applied mathematics (Q1) and high standings in artificial intelligence and software categories according to the 2023 Scopus rankings. As researchers, professionals, and students delve into complex issues surrounding reasoning under uncertainty, this journal provides invaluable insights and cutting-edge research. In addition to its rich content, the journal's commitment to advancing knowledge in theoretical computer science further enhances its significance in fostering academic growth. While the journal does not currently offer open access, its rigorous peer-review process ensures that only high-quality, impactful studies are published, solidifying its role as an essential source for academics striving to remain at the forefront of their fields.

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.

International Journal of Fuzzy Logic and Intelligent Systems, ISSN: 1598-2645, is a prestigious journal published by the Korean Institute of Intelligent Systems, dedicated to advancing the fields of Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications, Logic, and Signal Processing. Established to foster interdisciplinary research, this journal has quickly established its reputation, reaching a respectable Q3 quartile ranking across multiple categories in 2023. It serves as a vital resource for researchers, professionals, and students, offering insights into cutting-edge methodologies and innovative applications of fuzzy logic and intelligent systems. With a focus on disseminating high-quality research, the journal attracts contributions that drive the evolution of intelligent technologies and their practical implications. Published from South Korea, the journal is positioned to impact the global community, facilitating a deeper understanding of intelligent systems in various domains.

Welcome to the INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, a prestigious publication dedicated to advancing the fields of artificial intelligence, control systems engineering, information systems, and software research. Published by WORLD SCIENTIFIC PUBL CO PTE LTD in Singapore, this journal serves as a vital forum for the dissemination of innovative theories, methodologies, and applications rooted in the coexistence of uncertainty and fuzziness within knowledge-based systems. With its ISSN 0218-4885 and E-ISSN 1793-6411, the journal consistently ranks in the Q3 category across various Scopus categories, including Control and Systems Engineering and Information Systems, reflecting its influential position in the academic community. Researchers and practitioners alike will find valuable insights and the latest trends through its comprehensive articles, making this journal an essential resource for those seeking to navigate the complexities of this evolving field.

NEUROCOMPUTING is a premier academic journal published by ELSEVIER, specializing in the interdisciplinary fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. With an impressive impact factor and a Q1 ranking in its relevant categories for 2023, NEUROCOMPUTING is recognized as a leader in fostering innovative research and providing a platform for ground-breaking studies. The journal’s scope covers the convergence of neural computation and artificial intelligence, making it essential reading for researchers and professionals seeking to explore the latest advancements and applications in these dynamic fields. For those interested in the cutting-edge intersection of neuroscience and computational techniques, NEUROCOMPUTING offers a wealth of knowledge that significantly contributes to both theoretical and practical advancements. The journal is dedicated to publishing high-quality, peer-reviewed articles and is an invaluable resource for students and established scholars alike, looking to stay at the forefront of research trends.

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 Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

KNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.