Prof. Xuejuan Chen | Differential Equations | Research Excellence Award
Associate Professor | Jimei University | China
Prof. Xuejuan Chen is a distinguished computational mathematician whose research focuses on high-order numerical algorithms, fractional differential equations, nonlocal models, and advanced simulation methods for complex physical systems. Her work bridges theoretical numerical analysis with real-world applications, particularly in anomalous diffusion, optimal control, groundwater pollution modeling, and fractional dynamical systems. She has made significant contributions to the development of accelerated spectral deferred correction methods, high-precision finite difference schemes, distributed-order fractional models, and efficient Crank–Nicolson–based algorithms for nonsmooth data. Prof. Chen’s research stands out for its emphasis on accuracy, stability, and computational efficiency, offering scalable techniques for solving challenging nonlocal and fractional PDEs. With a strong publication record in leading journals such as Computers & Mathematics with Applications, Computer Methods in Applied Mechanics and Engineering, and Numerical Mathematics: Theory, Methods and Applications, she continues to advance the frontier of computational mathematics. Her scholarly influence is reflected in Scopus metrics, including 197 citations, 14 documents, and an h-index of 6, supported by contributions cited across fractional calculus, scientific computing, and applied mathematics. She also maintains a strong research presence on Google Scholar, where her citation count and impact continue to grow. Prof. Chen’s work not only advances numerical theory but also provides practical, high-accuracy computational tools for scientists and engineers working on nonlocal and fractional modeling problems in physics, engineering, and environmental science.
Publication Profile
Scopus | ORCID
Featured Publications
Chen, A., Chen, X., Yan, Y., & Guo, W. (2026). A corrected Crank–Nicolson scheme for the time fractional parabolic integro-differential equation with nonsmooth data. Mathematics and Computers in Simulation, 242, 279–296.
Wang, J., Chen, X., & Chen, J. (2025). A high-precision numerical method based on spectral deferred correction for solving the time-fractional Allen–Cahn equation. Computers & Mathematics with Applications, 180, 1–27.
Yang, Z., Chen, X., Chen, Y., & Wang, J. (2024). Accurate numerical simulations for fractional diffusion equations using spectral deferred correction methods. Computers & Mathematics with Applications, 153, 123–129.
Chen, X., Mao, Z., & Karniadakis, G. E. (2022). Efficient and accurate numerical methods using the accelerated spectral deferred correction for solving fractional differential equations. Numerical Mathematics: Theory, Methods and Applications, 15(4), 876–902.
Chen, X., Zeng, F., & Karniadakis, G. E. (2017). A tunable finite difference method for fractional differential equations with non-smooth solutions. Computer Methods in Applied Mechanics and Engineering, 318, 193–214.