Advances in Continuous and Discrete Models: Theory and Modern Application《连续与离散模型进展：理论和现代应用》（一年1卷）. Computational and applied mathematics along with data science play a vital role in contemporary society by driving innovation. This success can be attributed to revolutionary theoretical and algorithmic developments in machine learning, data driven modeling, differential equations, numerical analysis, scientific computing, control, optimization, and computing resources together with new tools to deal with uncertainty and randomness.

Advances in Data Analysis and Classification《数据分析与分类进展》（季刊）. The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from whatever types of data. It publishes articles on topics as, e.g.,Structural, quantitative, or statistical approaches for the analysis of data,Advances in classification, clustering, and pattern recognition methods,Strategies for modeling complex data and mining large data sets,Methods for the extraction of knowledge from whatever type of data, and Applications of advanced methods in specific domains of practice.

Advances in Computational Mathematics《计算数学进展》（双月刊）. Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: 1) approximation theory and computational geometry, 2) numerical analysis, modelling and simulation, and 3) imaging, signal processing and data analysis.

Ukrainian Mathematical Journal《乌克兰数学杂志》（月刊）. Ukrainian Mathematical Journal publishes articles and brief communications on various areas of pure and applied mathematics and contains sections devoted to scientific information, bibliography, and reviews of current problems.

Advances in Calculus of Variations《变分法研究进展》（季刊）. Advances in Calculus of Variations publishes high quality original research focusing on that part of calculus of variation and related applications which combines tools and methods from partial differential equations with geometrical techniques.

Advances in Applied Probability《应用概率进展》（季刊）. Advances in Applied Probability has been published by the Applied Probability Trust for over four decades, and is a companion publication to the Journal of Applied Probability. It contains mathematical and scientific papers of interest to applied probabilists, with emphasis on applications in a broad spectrum of disciplines, including the biosciences, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used.

Advances in Applied Mathematics《应用数学进展》（一年10期）. Interdisciplinary in its coverage, Advances in Applied Mathematics is dedicated to the publication of original and survey articles on rigorous methods and results in applied mathematics. The journal features articles on discrete mathematics, discrete probability theory, theoretical statistics, mathematical biology and bioinformatics, applied commutative algebra and algebraic geometry, convexity theory, experimental mathematics, theoretical computer science, and other areas.

Advances in Applied Clifford Algebras《应用克利福德代数研究进展》（一年5期）. Advances in Applied Clifford Algebras (AACA) publishes high-quality peer-reviewed research papers as well as expository and survey articles in the area of Clifford algebras and their applications to other branches of mathematics, physics, engineering, and related fields. The journal ensures rapid publication and is organized in six sections: Analysis, Differential Geometry and Dirac Operators, Mathematical Structures, Theoretical and Mathematical Physics, Applications, and Book Reviews.

Advanced Nonlinear Studies《高级非线性研究》（季刊）. Advanced Nonlinear Studies (ANS) is aimed at publishing scholarly articles on nonlinear problems, particularly those involving Differential and Integral Equations, Dynamical Systems, Calculus of Variations, and related areas. It will also publish novel and interesting applications of these areas to problems in biology, engineering, materials sciences, physics and other sciences. Papers submitted to this journal must contain original, timely, and significant results. This journal will also publish exceptionally well written and timely expository articles written by authors with established expertise in the area. Articles will generally, but not always, be published in the order when the final copies were received.

Acta Numerica《数值学报》（一年1卷）. Acta Numerica is the top-cited journal for the last two years in MathSciNet. Its annual collection of review articles includes survey papers by leading researchers in numerical analysis and scientific computing. The papers present overviews of recent advances and provide state-of-the-art techniques and analysis. Covering the breadth of numerical analysis, articles are written in a style accessible to researchers at all levels and can serve as advanced teaching aids. Broad subject areas for inclusion are computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis and nonlinear dynamical systems, as well as the application of computational techniques in science and engineering and the mathematical theory underlying numerical methods.