Frontiers of Information Technology & Electronic Engineering, published by Zhejiang University Press, is a leading academic journal dedicated to advancing the fields of information technology and electronic engineering. With an impressive impact factor and categorized in the Q2 quartile across multiple fields including Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, and Signal Processing, this journal serves as a crucial platform for researchers and practitioners to disseminate cutting-edge research and innovations. The journal, which operates under an Open Access model, ensures that high-quality research is accessible to a global audience, fostering collaboration and knowledge sharing within the scientific community. Based in Hangzhou, China, and in operation since 2015, it has rapidly established itself as a reputable source of scholarly articles, ranking in the top percentiles in its respective categories with commendable Scopus rankings. By bridging academic research and practical applications, Frontiers of Information Technology & Electronic Engineering plays a pivotal role in shaping the future of engineering and technology.

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

Cognitive Computation is a prominent journal published by Springer, focusing on interdisciplinary research at the intersection of cognitive sciences and computational methods. With an ISSN of 1866-9956 and an E-ISSN of 1866-9964, this journal has established itself as a leading resource for novel advancements and methodologies from 2009 through 2024. It is categorized in the top quartile (Q1) for 2023 in influential fields such as Cognitive Neuroscience, Computer Science Applications, and Computer Vision and Pattern Recognition. With impressive Scopus rankings including a 14th position in Cognitive Neuroscience and a percentile rank of 88th, the journal serves as a crucial platform for researchers and professionals eager to explore the cognitive processes underlying computational techniques. Although it does not operate under an open access model, the richness of research published within its pages contributes significantly to the academic discourse in these rapidly evolving domains, making it an essential read for scholars and practitioners alike.

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.

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.

Journal of Big Data, published by SPRINGERNATURE, is a leading academic journal dedicated to advancing the understanding and application of big data technologies and methodologies across various domains. Since its inception in 2014, this Open Access journal has gained recognition for its rigorous peer-reviewed research, boasting impressive rankings in multiple categories in Scopus, including Q1 in Computer Networks and Communications and Q1 in Information Systems. With its impactful contributions, the journal is positioned at the forefront of scholarly work on big data, addressing critical topics such as data analytics, storage, visualization, and applied data science. Its global reach and commitment to disseminating knowledge ensure that researchers, professionals, and students have equitable access to groundbreaking findings that empower advancements in technology and information systems. The Journal of Big Data continues to foster collaboration and inspire new research avenues leading to tangible impacts in the field.

Communications of the Association for Information Systems (ISSN: 1529-3181, E-ISSN: 1529-3181) is a leading academic journal published by the Association for Information Systems, dedicated to advancing the field of Information Systems. With a commendable impact factor and classified in the Q2 quartile for Information Systems as of 2023, the journal serves as a vital platform for cutting-edge research, innovative methodologies, and theoretical advancements. It operates within a global academic context, contributing significantly to the understanding of information systems' roles and impacts across industries. Researchers, professionals, and students can access a wealth of scholarly articles and case studies that explore contemporary issues and transformative technologies. As its publication timeline extends from its convergence years of 2006, through to 2024, Communications of the Association for Information Systems continues to solidify its reputation as a necessary resource for those seeking to deepen their knowledge and engage with the latest developments in the field.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

Journal of Information Processing Systems, published by the Korea Information Processing Society, serves as a pivotal platform in the fields of Information Systems and Software, catering to an audience of researchers, professionals, and students. With an ISSN of 1976-913X and an E-ISSN of 2092-805X, this journal has established its presence since its inception in 2012, continually contributing valuable insights and advancements through 2024. Notably, it has achieved a Q3 ranking within its respective categories, reflecting its ongoing commitment to quality research, evidenced by its Scopus rankings—#221 out of 394 in Information Systems and #263 out of 407 in Software. Although it currently does not offer Open Access, the journal emphasizes robust research methodologies and innovative solutions, making it an essential resource for those engaged in the rapidly evolving domain of information processing. With its base located in Seoul, South Korea, the journal remains dedicated to fostering collaboration and knowledge exchange in the global community.

Big Data, an esteemed journal published by MARY ANN LIEBERT, INC, serves as a leading platform within the realms of computer science and information systems. Launched in 2013, this journal has made significant strides in shaping the discourse around the management, analysis, and applications of large-scale data. With a commendable impact factor reflected in its 2023 quartile rankings—Q1 in Information Systems and Management, and Q2 in both Computer Science Applications and Information Systems—Big Data is recognized for its quality and influence, holding a notable position in Scopus rankings. Renowned for its rigorous peer-review process, the journal welcomes original research, reviews, and discussions that address the challenges and innovations associated with big data technologies. Researchers, professionals, and students alike will find Big Data an indispensable resource that not only highlights emerging trends but also fosters collaboration and knowledge sharing within the data science community. Access options are available through institutional subscriptions and individual access, ensuring a broad dissemination of critical research findings.