Welcome to the Journal of Grey System, a distinguished publication dedicated to the advanced study of decision sciences, applied mathematics, and statistical theories. Published by Research Information Ltd, this journal has carved out a niche within the academic community, focusing on innovative methodologies and interdisciplinary approaches that foster a deeper understanding of complex systems. Although open access options are not currently available, the journal has been recognized for its scholarly contributions, achieving impressive Scopus rankings—including a notable #47 in Decision Sciences and a 60th percentile rank in Applied Mathematics. With coverage spanning from 2008 to 2019, the Journal of Grey System remains an essential resource for researchers and practitioners aiming to enhance their knowledge in statistics, probability, and system optimization. As a result, it serves not just as a platform for academic discourse but also as a catalyst for future research endeavors in the evolving landscape of mathematical and statistical sciences.

JOURNAL OF APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.

Advances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.

JOURNAL OF FORECASTING, published by Wiley, stands as a vital resource in the fields of forecasting and predictive analytics, dedicated to advancing theoretical and practical knowledge. With a rich history dating back to its inception in 1982, the journal covers an extensive range of disciplines, evidenced by its impressive standing across several Scopus rankings, including Q1 in Modeling and Simulation and Q2 in Economics, Management Science, and Statistics among others. The journal holds an esteemed impact factor, indicative of its rigorous peer-review process and the significance of its contributions, making it essential reading for researchers, practitioners, and students alike. While the journal is not open access, it offers various subscription options to ensure that its valuable content is accessible to a wider audience. As it converges towards its 2024 milestone, the JOURNAL OF FORECASTING continues to forge paths in methodological advancements and empirical applications, reinforcing its reputation as a foremost publication in predictive modeling.

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

STATISTICAL MODELLING, published by SAGE Publications Ltd in the United Kingdom, is a prominent peer-reviewed journal dedicated to the evolving domain of statistics and its application in various scientific fields. With the ISSN 1471-082X and E-ISSN 1477-0342, this journal serves as a vital platform for researchers and practitioners to disseminate innovative methodologies, theoretical advancements, and practical applications pertaining to statistical modelling. Covering research from 2001 to 2024, the journal consistently contributes to the discourse within the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty categories. Furthermore, it ranks in the 54th percentile for Mathematics - Statistics and Probability and in the 53rd percentile for Decision Sciences, reflecting its growing reputational value among academic peers. Although this journal does not include Open Access options, its rigorous selection process and scholarly contributions ensure that it remains an essential resource for statistical research. Researchers, professionals, and students alike will find STATISTICAL MODELLING to be an indispensable reference for advancing their understanding and application of statistical techniques.

International Journal of Forecasting, published by Elsevier, stands as a premier platform in the domain of forecasting, catering to a diverse audience of researchers, professionals, and students. With its strong commitment to advancing theoretical and practical knowledge, this journal covers a broad spectrum of topics related to forecasting methods, applications, and empirical research across various fields, including economics, business, and social sciences. Holding an impressive impact factor and recognized as a Q1 journal in Business and International Management, it ranks #14 out of 443 in its category, placing it in the 96th percentile on Scopus. The journal has been actively published since 1985 and continues to provide meaningful insights that drive informed decision-making. Despite not being open access, the rigorous peer-review process ensures that the highest quality research is showcased, making it an essential read for those looking to stay at the forefront of forecasting methodologies and applications.

Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.

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.