ACM Transactions on Sensor Networks is a premier journal dedicated to the advancement of knowledge and technology in the field of sensor networks. Published by the Association for Computing Machinery, this prestigious journal boasts a notable Q1 ranking in Computer Networks and Communications, highlighting its significant contribution to ongoing research and development, based on the latest Scopus metrics which place it in the 69th percentile. Since its inception in 2005, it has served as a critical platform for researchers, professionals, and students to explore innovative approaches and share groundbreaking findings in the ever-evolving landscape of sensor network technologies. The journal is committed to high-quality, peer-reviewed publications that pave the way for future advancements in the field. While it does not offer open access, the vast readership through institutional subscriptions ensures that vital research reaches an audience of experts eager to apply these insights in real-world applications. Covering a diverse range of topics from network design to energy optimization, ACM Transactions on Sensor Networks remains an essential resource for those pursuing excellence in this dynamic discipline.

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.

Engineering Journal-Thailand, published by Chulalongkorn University, Faculty of Engineering, is a prominent academic journal dedicated to advancing knowledge and research in the diverse field of engineering. With an ISSN of 0125-8281 and an unwavering commitment to quality, the journal has established a substantial presence in the academic community since its inception in 2009. As of 2023, it is ranked in the Q3 category for Engineering (miscellaneous) and has achieved a Scopus rank of 137 out of 307, placing it in the 55th percentile of general engineering journals. Although it operates without open access, its impact within the engineering domain is significant, providing a vital platform for researchers, professionals, and students to disseminate their findings and engage with contemporary engineering challenges. The journal serves as a vital resource for those seeking to stay at the forefront of engineering innovation and contributes to the global discourse by bridging local insights with international perspectives.

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

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.

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.

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.

Big Data Research, published by Elsevier, is a leading academic journal dedicated to the exploration and advancement of Big Data methodologies and technologies. With an ISSN of 2214-5796, and a commendable impact reflected in its Scopus rankings—ranking Q2 in Computer Science Applications and Q1 in Information Systems—this journal offers a prominent platform for researchers and practitioners to share innovative findings in the realm of data science, analytics, and management. Since its inception in 2014, Big Data Research has fostered a multidisciplinary approach, addressing cutting-edge topics crucial for both academic inquiry and real-world applications. The journal's objectives include advancing the understanding of data-intensive systems, promoting essential methodologies for big data analytics, and enhancing data-driven decision-making processes across various industries. As an open access journal, Big Data Research is committed to disseminating knowledge widely, allowing researchers, professionals, and students to stay at the forefront of developments in this fast-evolving field. Its influence in the academic community is further underscored by a strong commitment to quality and relevance, making it an essential resource for anyone interested in the transformative power of 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.

Annual Review of Biomedical Data Science, published by ANNUAL REVIEWS, stands as a premier journal in the fields of Biomedical Engineering, Biochemistry, Genetics, and Cancer Research, with an impressive Q1 ranking across these categories in 2023. With its ISSN and e-ISSN both assigned as 2574-3414, this journal serves as a critical resource for researchers, professionals, and students looking to delve into comprehensive reviews of the rapidly evolving landscape of biomedical data science. The journal's scope includes the intersection of data science methodologies and biomedical applications, making it essential for those aiming to stay at the forefront of innovations that drive advancements in healthcare and medical research. Although it currently does not provide open access options, its commitment to high-quality research and its robust rankings—placing it in the 94th percentile in its field—underscore its significance and credibility in the academic community. Operating from the United States, with its offices located in Palo Alto, CA, this journal is a vital contributor to the discourse on the integration of data science within biomedical fields, fostering collaboration and knowledge dissemination among scholars worldwide.