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.

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.

COMPUTATIONAL LINGUISTICS is a premier academic journal published by MIT Press, focusing on the intersection of linguistics and artificial intelligence. With the ISSN 0891-2017 and the E-ISSN 1530-9312, the journal serves as a key resource for researchers and practitioners in computational linguistics, a field that plays a crucial role in advancing language processing technologies. Since adopting an Open Access model in 2017, the journal has broadened its accessibility, encouraging a global exchange of ideas and research findings. It consistently ranks within the top quartiles of its respective fields, achieving Q1 status in Artificial Intelligence, Computer Science Applications, and Linguistics and Language as of 2023. This notable standing is further reflected in its Scopus rankings, placing it in the 99th percentile for Language and Linguistics, and maintaining a prestigious position in various computer science categories. The journal publishes cutting-edge research, theoretical frameworks, and practical applications, and aims to foster interdisciplinary collaboration among linguists, computer scientists, and AI specialists. As the field evolves, COMPUTATIONAL LINGUISTICS remains an essential platform for disseminating transformative ideas and pioneering work that shapes the future of language and technology.

Inteligencia Artificial-Iberoamerican Journal of Artificial Intelligence, published by the ASOC ESPANOLA INTELIGENCIA ARTIFICIAL, serves as a pivotal platform for disseminating cutting-edge research in the burgeoning fields of artificial intelligence and software development. Established in 1997 as an Open Access journal, it ensures broad accessibility to its scholarly content, thus fostering collaboration and knowledge exchange amongst researchers, professionals, and students across the globe. Based in Valencia, Spain, the journal currently operates within a significant timeline spanning from 2004 to 2010 and 2012 to 2024, enabling continual contributions to the academic discourse. Although it holds a Q4 quartile ranking in both the Artificial Intelligence and Software categories and a notable yet competitive Scopus ranking among its peers, the journal remains committed to advancing the understanding and application of sophisticated AI methodologies. As it continues to embrace innovative research, this journal stands as a crucial reference point for those keenly navigating the complexities of artificial intelligence in a rapidly evolving digital landscape.

The Journal of Healthcare Informatics Research, published by SPRINGERNATURE, serves as a premier platform for the dissemination of innovative research and insights at the intersection of healthcare and information technology. Established in 2017 and operating out of Switzerland, this journal covers a broad scope encompassing Artificial Intelligence, Computer Science Applications, Health Informatics, and Information Systems, achieving a Q1 ranking across these fields in 2023. Notably, it ranks impressively within Scopus, holding positions in the top percentages across various categories, including 12th in Health Informatics. With an unwavering commitment to fostering advancements in healthcare through informatics, this journal is designed for researchers, professionals, and students alike, providing open access to significant findings and methodologies that drive the future of health technology. As the field evolves, the Journal of Healthcare Informatics Research stands as a vital resource for those dedicated to improving patient outcomes and operational efficiencies through data-driven strategies.

Frontiers in Artificial Intelligence, published by FRONTIERS MEDIA SA, is a pioneering open-access journal that commenced in 2018, dedicated to advancing the multifaceted field of artificial intelligence. With an impressive Q2 ranking in the category of Artificial Intelligence, it occupies a significant position within the academic community, offering a platform for high-quality, peer-reviewed research. The journal's comprehensive scope encompasses a variety of subfields, including machine learning, robotics, and human-computer interaction, making it an invaluable resource for researchers, professionals, and students alike. As an open-access journal since 2019, it ensures that cutting-edge research is readily available to a global audience, facilitating knowledge sharing and collaboration. With its headquarters in Switzerland and a commitment to scholarly excellence, Frontiers in Artificial Intelligence is at the forefront of the scientific discourse, empowering the next generation of innovations in AI.

Data Intelligence, published by MIT PRESS, is an influential open-access journal dedicated to advancing knowledge within the intersecting fields of Artificial Intelligence, Computer Science Applications, and Information Systems. Since its inception in 2019, it has rapidly established itself as a leading academic platform, achieving impressive rankings—including Q2 in its principal categories for 2023—demonstrating its impact and relevance in these dynamic fields. With an E-ISSN of 2641-435X, Data Intelligence aims to bridge theoretical research and practical applications, providing a venue for scholars and practitioners to disseminate innovative research and ideas. The journal's commitment to open access ensures that cutting-edge research is accessible to a broad audience, fostering collaboration and knowledge sharing among the global community of researchers, professionals, and students. Located in Cambridge, MA, Data Intelligence continues to pave the way for transformative insights in the realm of data-driven technologies through its rigorous peer-reviewed content and a wide array of interdisciplinary perspectives.

MACHINE LEARNING is a premier academic journal published by SPRINGER, dedicated to advancing the field of artificial intelligence and software engineering. Established in 1986, this journal has consistently showcased pioneering research and innovative methodologies that facilitate the understanding and application of machine learning techniques across various domains. With an impressive impact factor reflecting its high-quality publications, it is classified within the top quartile (Q1) in both Artificial Intelligence and Software categories as of 2023, underscoring its critical role in these fields. The journal boasts significant Scopus rankings, placing it at the 45th and 54th positions, respectively, in Computer Science - Software and Computer Science - Artificial Intelligence, further validating its stature as a vital resource for researchers, professionals, and students alike. While not an open-access journal, MACHINE LEARNING ensures that its comprehensive peer-reviewed articles are widely circulated, fostering academic dialogue and innovation. The journal continues to be a go-to platform for cutting-edge research, providing invaluable insights and contributions that drive the future of machine learning.

METHODS OF INFORMATION IN MEDICINE, published by Georg Thieme Verlag KG, stands at the forefront of medical knowledge dissemination, pushing the boundaries of Advanced and Specialized Nursing, Health Informatics, and Health Information Management. Established in 1962, this prestigious journal has continuously evolved to address the dynamic landscape of healthcare and information technology, aiming to bridge the gap between clinical practice and innovative information technologies. With a robust impact factor reflected in its 2023 Scopus rankings, where it holds a commendable position in Q1 for Advanced Nursing, it serves as an invaluable resource for researchers, practitioners, and students alike. While it maintains a subscription-based access model, the journal fosters the exchange of pioneering methodologies and transformative ideas that are crucial for advancing healthcare delivery and improving patient outcomes. Explore the latest research, expert insights, and cutting-edge developments that solidify the journal’s role as a leader in the interdisciplinary approach to medicine and information systems.

TRAITEMENT AUTOMATIQUE DES LANGUES is a prominent academic journal dedicated to the field of automatic language processing, published by the ASSOCIATION TRADUCTION AUTOMATIQUE LINGUISTIQUE APPLIQUEE in France. Established as a crucial resource for researchers and practitioners, the journal explores innovative approaches to linguistics and language applications, contributing significantly to the understanding and advancement of technology in language processing. Although it currently holds a Q4 ranking across categories such as Computer Science Applications and Linguistics in the 2023 Scopus metrics, the journal encourages submissions that push the boundaries of current methodologies, seeking to elevate the discourse within these disciplines. With no open access policies specified, the journal serves as an exclusive platform for scholarly communication through traditional access means. TRAITEMENT AUTOMATIQUE DES LANGUES aims to foster collaboration and stimulate advancements in the richly interlinked areas of language technology, computation, and linguistics, making it an invaluable resource for students, researchers, and professionals alike.