Applied System Innovation is a leading multidisciplinary journal published by MDPI, dedicated to advancing the fields of applied mathematics, artificial intelligence, control systems, human-computer interaction, and industrial and manufacturing engineering. With an impressive Open Access model established since 2018, it ensures that research findings are readily accessible to a global audience, fostering collaboration and innovation. The journal, boasting a robust impact in academia, has achieved multiple distinguished quartile rankings for 2023, including Q1 in Industrial and Manufacturing Engineering and Q2 in several other key disciplines. It is recognized in various Scopus categories, with notable rankings in applied mathematics and control systems. By encouraging high-quality research and providing a platform for knowledge exchange, Applied System Innovation plays a vital role in shaping the future of technology and engineering solutions. We invite researchers, professionals, and students alike to contribute to this dynamic field through impactful publications that inspire advancements in our understanding of complex systems.

International Journal on Artificial Intelligence Tools is a pivotal platform for disseminating innovative research in the field of artificial intelligence, published by World Scientific Publishing Co. PTE LTD. Established in 2005 and running through to 2024, this journal maintains a focus on evolving AI methodologies and applications that drive technological advancement. Though currently ranked in the fourth quartile of artificial intelligence journals and holding a Scopus rank of #256 among 350 in the Computer Science category, it offers a unique avenue for researchers, professionals, and students aiming to foster their understanding and engagement with AI tools. With its dedicated publication timeline, the journal encourages submissions exploring both theoretical underpinnings and practical implementations of AI technologies. While it does not subscribe to an open-access model, the journal ensures high-quality peer-reviewed content, making it an essential resource for those seeking to contribute to and learn from the evolving field of artificial intelligence.

MINDS AND MACHINES is a distinguished peer-reviewed journal published by Springer, specializing in the interdisciplinary realms of Artificial Intelligence and Philosophy. Founded in 1991, this journal continues to serve as a critical forum for exploring the intricate relationships between human cognition, artificial systems, and ethical considerations in technology. With an impressive impact factor positioned in the Q1 quartile for both the fields of Artificial Intelligence and Philosophy, MINDS AND MACHINES ranks as a top-tier publication, reflecting its significant contributions to ongoing scholarly discussions. The journal is indexed in Scopus, where it holds the number one rank in Philosophy within the Arts and Humanities category, and the 42nd position in the Computer Science segment for Artificial Intelligence, demonstrating its wide-reaching influence and high citation impact. Although it does not offer open access, its rigorous selection process ensures that only high-quality manuscripts are published, making it an essential read for researchers, professionals, and students aiming to stay at the forefront of developments in these rapidly evolving fields.

ACM Transactions on Intelligent Systems and Technology, published by the Association for Computing Machinery (ACM), is a leading peer-reviewed journal dedicated to the rapid dissemination of innovative research in the fields of Artificial Intelligence and Theoretical Computer Science. With an impressive Impact Factor and a strong H-Index, it boasts a premier standing in the academic community, being ranked Q1 in both AI and Theoretical Computer Science categories as of 2023. This journal serves as a critical platform for researchers, professionals, and students aiming to contribute to and stay informed about the latest developments in intelligent systems and technology. While there are currently no open-access options, readers can explore invaluable insights into current trends and methodologies from 2010 to 2024, making it an essential resource for anyone passionate about advancing their knowledge in these rapidly evolving domains. The journal continues to foster collaboration and innovation, reflecting the forefront of research where technology intersects with intelligent systems.

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.

The Journal of Business Analytics, published by Taylor & Francis Ltd, is an esteemed platform dedicated to advancing the field of business analytics through rigorous research and innovative methodologies. Since its inception in 2018, this journal has provided a vital resource for researchers, practitioners, and students interested in the intersection of data science, management, and decision-making processes. With an impact factor reflective of its commitment to high-quality research, the journal holds notable rankings across multiple disciplines, including Q2 in Industrial and Manufacturing Engineering and Management Information Systems, as well as Q3 in Artificial Intelligence and Management Science and Operations Research. The journal's broad scope encompasses pivotal themes such as predictive analytics, decision support systems, and statistical methodologies, making it an essential resource for a diverse audience. The Journal of Business Analytics continues to foster collaboration and knowledge exchange within the academic community, positioning itself as a cornerstone for those seeking to navigate the complex landscapes of business and technology.

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.

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

COMPUTERS IN INDUSTRY is a premier journal published by Elsevier, dedicated to the exploration and advancement of the intersection between technology and industrial applications. With a history spanning from 1979 to 2024, this high-impact journal holds prestigious Q1 rankings in both Computer Science and Engineering, showcasing its significant contribution to the fields of general engineering and computer science. Notably, it ranks #4 out of 307 journals and #9 out of 232 journals in their respective categories on Scopus, placing it in the top 2% of publications worldwide. Although it is not an Open Access journal, it continues to serve as a vital resource for researchers, professionals, and students seeking in-depth insights and innovative research findings in industrial computing. The journal’s objective is to publish high-quality, peer-reviewed articles that advance the understanding and application of computer systems in industrial environments, reaffirming its crucial role in driving technological progress and operational efficiency.

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.