IEEE Open Journal of the Computer Society is an esteemed open-access journal dedicated to advancing the field of computer science. Published by IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC since 2020, this journal promotes innovative research and scholarly communication in a rapidly evolving technological landscape. With a notable Q1 ranking in the Computer Science (miscellaneous) category and a high Scopus percentile of 92, it serves as a premier platform for disseminating cutting-edge findings and interdisciplinary studies. The journal is committed to facilitating unrestricted access to valuable insights, fostering collaboration among researchers, professionals, and students alike. As it continues to publish impactful articles through 2024 and beyond, the IEEE Open Journal of the Computer Society remains a vital resource for anyone interested in the latest trends and developments in computer science.

International Journal on Document Analysis and Recognition (IJDAR), published by Springer Heidelberg, stands at the forefront of research and advancements in the field of document analysis, computer vision, and pattern recognition. With its ISSN 1433-2833 and E-ISSN 1433-2825, the journal is an essential resource for researchers and practitioners focusing on innovations in automatic document processing, image analysis, and artificial intelligence applications in document retrieval and recognition. Recognized as a Q1 journal in multiple relevant categories, including Computer Science Applications, Computer Vision and Pattern Recognition, and Software, IJDAR boasts impressive Scopus rankings that position it among the top-tier publications in these domains. The journal’s converged publication years from 1998 to 2024 offer a rich repository of knowledge essential for both theoretical and practical advancements, ensuring that researchers, professionals, and students can keep pace with the latest findings and methodologies. Access options may vary, but the journal continuously strives to facilitate the dissemination of high-quality research that contributes significantly to the academic discourse in document analysis and recognition.

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.

INTELLIGENCE, published by Elsevier Science Inc, is a leading international journal dedicated to advancing research in the fields of cognitive psychology, developmental psychology, and human intelligence. With an impact factor reflecting its authority within the academic community, this journal occupies a prestigious position—ranking in the Q1 category for Arts and Humanities and achieving strong Q2 rankings in both Developmental and Educational Psychology and Experimental and Cognitive Psychology. Scholars can access high-quality research articles that contribute to the understanding of intelligent behavior, cognitive processes, and the implications of intelligence in various contexts. By encompassing a broad range of interdisciplinary perspectives since its inception in 1977 and continuing into 2024, INTELLIGENCE serves as an essential resource for researchers, professionals, and students keen to explore the complexities of human thought and learning.

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.

JOURNAL OF BIOMEDICAL INFORMATICS, published by Academic Press Inc. Elsevier Science, is a premier peer-reviewed journal dedicated to the integration of computer science and health informatics to advance the field of biomedical engineering and healthcare. With its ISSN 1532-0464 and E-ISSN 1532-0480, this influential journal has established itself with an impressive impact factor, reflecting its high-quality research contributions. Recognized within the top quartile (Q1) of both Computer Science Applications and Health Informatics for 2023, the journal ranks #135 out of 817 in Computer Science Applications and #25 out of 138 in Health Informatics according to Scopus metrics. Offering open access options, it fosters extensive dissemination and accessibility of groundbreaking research findings to the scientific community. As a scholarly platform from 2001 to 2024, it is engineered to cater to the educational needs of researchers, professionals, and students, promoting innovative studies that bridge the gap between technology and healthcare.

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.

The International Journal of Interactive Multimedia and Artificial Intelligence, published by UNIV INT RIOJA-UNIR in Spain, is a leading Open Access journal that has been fostering knowledge dissemination in the field since 2008. With an ISSN of 1989-1660 and an impressive impact characterized by its Q1 and Q2 rankings across major categories in Artificial Intelligence and Computer Science, the journal serves as a crucial platform for researchers and professionals eager to explore innovative applications and technological advancements. This journal is particularly distinguished by its commitment to high-quality peer-reviewed research, evident in its current Scopus rankings, which place it among the top percentile in various computer science domains, including Statistics, Signal Processing, and Computer Vision. The journal's scope encompasses a wide array of topics that intersect with multimedia and artificial intelligence, making it an invaluable resource for students and emerging scholars aiming to deepen their understanding and contribute to these vibrant fields. Through its Open Access model, it ensures that research is accessible to a global audience, thus enhancing the visibility and impact of the scientific discourse.

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.

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.