NEURAL COMPUTATION, published by MIT PRESS, is a leading academic journal that focuses on the interdisciplinary field of neural computing, combining insights from artificial intelligence, cognitive neuroscience, and computational modeling. With an impressive impact factor and consistently high rankings—being positioned in the Q1 category of Arts and Humanities and Q2 in Cognitive Neuroscience—this journal serves as a vital resource for researchers and professionals interested in understanding the complex interactions between neural processes and computational systems. Founded in 1995 and continuing through its converged years until 2024, NEURAL COMPUTATION publishes cutting-edge articles that advance theoretical knowledge and practical applications in both fields. While it does not provide open access, the journal ensures rigorous peer-review processes, making it an essential platform for disseminating significant research findings. With its commitment to fostering innovation and understanding at the intersection of neuroscience and computation, NEURAL COMPUTATION stands out as a cornerstone for academic exploration and discovery.

NEURAL PROCESSING LETTERS, published by Springer, is a prestigious journal dedicated to the interdisciplinary fields of Artificial Intelligence, Computer Networks and Communications, Software Engineering, and Neuroscience. Established in 1994, the journal has built a solid reputation over the past decades, showcasing innovative research and developments that significantly contribute to the advancement of these dynamic areas. With a 2023 Scopus quartile ranking of Q2 in Artificial Intelligence and Computer Networks and Communications, and a Q3 ranking in Neuroscience, this journal occupies an important niche for professionals and researchers alike. The journal’s impact is further evidenced by its competitive Scopus ranks, positioning it within the top 60th percentile across its categories. Researchers looking for a platform to disseminate their findings in the intersection of technology and neuroscience will find NEURAL PROCESSING LETTERS an invaluable resource. For additional engagement and visibility, the journal supports various access options; however, it's important to note that it does not currently operate under an open access model. For submissions or queries, the journal can be reached at its headquarters in Dordrecht, Netherlands.

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.

Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

The Journal of Advanced Computational Intelligence and Intelligent Informatics, published by FUJI TECHNOLOGY PRESS LTD, stands as a pivotal platform in the fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 1997, this Open Access journal has been providing accessible insights into the latest advancements in computational intelligence and informatics since 2007. With its ISSN 1343-0130 and E-ISSN 1883-8014, this journal invites a diverse readership, including researchers, professionals, and students eager to explore innovative methodologies and applications. Despite its current Q4 ranking in the relevant categories, the journal remains committed to contributing valuable knowledge to the academic community and enhancing the global discourse in computational technologies. With its focus on fostering communication and collaboration among scholars, the journal plays an essential role in driving forward the understanding of intelligent systems and their applications in various domains.

CONNECTION SCIENCE, published by Taylor & Francis Ltd, is a premier open-access journal in the fields of Artificial Intelligence, Human-Computer Interaction, and Software Engineering, with an impressive history dating back to 1989. With an aim to foster innovative research and breakthroughs, this journal serves as a vital platform for scholars and practitioners seeking to publish and disseminate their findings. As of 2023, CONNECTION SCIENCE proudly holds a Q2 ranking in all three categories, reflecting its significance and influence within the academic community, supported further by robust Scopus rankings placing it in top percentiles across the disciplines. In addition to its extensive service to the global research community, it has transitioned to open access since 2022, enhancing the accessibility of high-impact research to a wider audience. For anyone involved in these dynamic fields, CONNECTION SCIENCE is crucial for keeping up with trends, theories, and practical applications that drive the future of technology and artificial intelligence.

Acta Universitatis Sapientiae Informatica, published by SCIENDO, is an esteemed open-access journal in the field of computer science and informatics. Since its transition to open access in 2013, the journal has fostered an inclusive academic environment that allows researchers, professionals, and students to freely access cutting-edge research and innovations. With its ISSN 1844-6086 and E-ISSN 2066-7760, Acta Universitatis Sapientiae Informatica aims to disseminate high-quality scholarly articles that cover a broad scope of topics ranging from theoretical foundations to practical applications in informatics. Located in Warsaw, Poland, the journal serves as an essential platform for advancing the discourse in computer science, thus playing a critical role in both regional and international research communities.

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.

Quantum Machine Intelligence is a leading academic journal published by Springer Nature, focusing on the rapidly evolving intersection of quantum computing and artificial intelligence. With an impressive impact factor reflected in its prestigious ranking in various categories—Q1 in Applied Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science, alongside Q2 in Artificial Intelligence and Software—this journal serves as a vital platform for disseminating innovative research from 2019 to 2024. Researchers, professionals, and students are encouraged to engage with the journal’s content, which features high-quality peer-reviewed articles that explore theoretical foundations and practical applications of quantum technologies in machine intelligence. Although the journal operates under traditional subscription models, it is committed to advancing open academic discourse and accessibility in the digital age. With Scopus rankings that place it among the top echelons of its fields, the journal is an essential resource for anyone interested in the transformative potential of quantum algorithms and AI.

COMPUTER, published by the IEEE COMPUTER SOC, stands as a pivotal resource in the field of computer science, encompassing a broad range of topics and innovations within the industry. With an ISSN of 0018-9162 and E-ISSN 1558-0814, this esteemed journal features high-impact research articles that contribute significantly to the advancement of technology, demonstrating a prestigious Q1 classification in the Computer Science (miscellaneous) category for 2023. Positioned within the top percentile of Scopus rankings (ranked #84 out of 232), COMPUTER serves as an essential platform for sharing pioneering ideas and emerging trends that shape the future of computing. Although it does not currently offer open access, the journal's rigorous peer-review process ensures the publication of high-quality content. Researchers, professionals, and students alike will find invaluable insights into computer science developments from 1970 through 2024, making it a vital tool for anyone dedicated to this ever-evolving field.