Data Technologies and Applications is a leading academic journal published by Emerald Group Publishing Ltd, captivating the interest of researchers, professionals, and students alike within the dynamic fields of Information Systems and Library and Information Sciences. With its ISSN 2514-9288 and E-ISSN 2514-9318, this journal holds a commendable Q2 ranking in Library and Information Sciences and a Q3 ranking in Information Systems as of 2023, reflecting its impact and contribution to ongoing discourse in these disciplines. Operating with an open access model, it provides a platform for accessing high-quality research that encompasses innovative methodologies and applications of data technologies. The journal's scope includes interdisciplinary studies that leverage data to enhance decision-making, improve information retrieval, and foster technological convergence. Housed in the United Kingdom, the journal facilitated its first publication in 2018, with a commitment to fostering valuable academic conversations through to 2024 and beyond. Engage with insightful research that shapes the future of data technologies and applications, making this journal an essential resource for anyone invested in the advancement of knowledge in these pivotal fields.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

EXPERT SYSTEMS WITH APPLICATIONS is a premier journal published by PERGAMON-ELSEVIER SCIENCE LTD, dedicated to showcasing cutting-edge research in the fields of Artificial Intelligence, Computer Science Applications, and Engineering. With an esteemed Q1 ranking across multiple categories, this journal not only reflects high-quality scholarship but also plays a pivotal role in advancing the application of expert systems and intelligent technologies in various sectors. Operating from the United Kingdom, it features a wide range of insightful articles that address complex challenges and offer innovative solutions through interdisciplinary approaches. Researchers and practitioners can access invaluable resources to inform their work, contributing to the journal's strong reputation and growing readership. With its convergence of relevant technologies from 1990 to 2025, EXPERT SYSTEMS WITH APPLICATIONS stands as an essential source for those aiming to push the boundaries of knowledge in these thriving fields, making it a key platform for both established experts and emerging scholars.

Journal of Information and Communication Technology-Malaysia is a respected open-access journal published by UNIV UTARA MALAYSIA PRESS, dedicated to advancing knowledge in the fields of Information Technology, Computer Science, and Mathematics. With an ISSN of 1675-414X and an E-ISSN of 2180-3862, this journal has been providing a platform for innovative research since its establishment in 2009. The journal is indexed in Scopus with commendable rankings in Mathematics and Computer Science categories, highlighting its contribution to the academic community, particularly with its Q3 quartile status in both fields as of 2023. As it converges research from 2011 to 2024, the journal invites submissions that explore contemporary challenges and technological advancements, catering to a global audience of researchers, professionals, and students interested in the rapidly evolving domains of ICT. By ensuring open access to its articles, the journal promotes widespread dissemination and accessibility of cutting-edge research, thereby supporting the collaborative development of ideas and solutions in these critical areas.

IEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.

Big Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.

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.

Frontiers in Big Data, published by Frontiers Media SA in Switzerland, is a leading open access journal that has established itself as a vital resource for scholars and practitioners in the expanding realms of artificial intelligence, computer science, and information systems since its inception in 2018. With an impressive impact factor reflected in its Q2 rankings across multiple categories, including Artificial Intelligence, Computer Science (Miscellaneous), and Information Systems, this journal serves as a pivotal platform for disseminating groundbreaking research and promoting interdisciplinary collaboration. The journal's commitment to open access ensures that high-quality research is readily accessible to a global audience, fostering the exchange of innovative ideas and advancements in big data technologies. By creating an inclusive space for diverse perspectives, Frontiers in Big Data aims to bridge the gap between theoretical research and practical application, making it an essential read for anyone invested in the future of data science.

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a premier journal published by WILEY PERIODICALS, INC, dedicated to the rapidly evolving fields of data mining and knowledge discovery. Since its inception in 2011, this journal has emerged as a vital resource for researchers and practitioners alike, boasting an impressive Q1 ranking in the field of Computer Science (miscellaneous) as of 2023, and is recognized for achieving a remarkable 98th percentile in Scopus rankings. The journal aims to disseminate high-quality, interdisciplinary research that addresses the theoretical and practical implications of data mining techniques, innovative algorithms, and knowledge discovery paradigms. With a commitment to fostering knowledge exchange among academia and industry, Wiley Interdisciplinary Reviews is essential for those looking to remain at the forefront of data science advancements. Researchers and professionals will find relevant discussions, cutting-edge methodologies, and comprehensive reviews that contribute significantly to the field's development.