Chaikovskii D., Zhang Y.*. Convergence analysis for forward and inverse problems in singularly perturbed time-dependent reaction-advection-diffusion equations. Journal of Computational Physics, 2022, DOI: 10.1016/j.jcp.2022.111609.
 Yang J., Xu C., Zhang Y.. Reconstruction of the S-Wave Velocity via Mixture Density Networks With a New Rayleigh Wave Dispersion Function. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 035004.
 Xu C., Zhang Y.*. Estimating the memory parameter for potentially non-linear and non-Gaussian time series with wavelets. Inverse Problems, 2022, 38, 035004.
 Xu C., Zhang Y.*. Estimating adsorption isotherm parameters in chromatography via a virtual injection promoting double feed-forward neural network. Journal of Inverse and Ill-Posed Problems, 2022, published online, DOI: 10.1515/jiip-2020-0121.
 Dong G. Hintermuller M, Zhang Y. A class of second-order geometric quasilinear hyperbolic PDEs and their application in imaging. SIAM Journal on Imaging Sciences, 2021, 14, 645-688.
 Zhang Y, Hofmann B. Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems. Inverse Problems and Imaging, 2021, 15, 229-256.
 Zhang Y, Gong R. Second order asymptotical regularization methods for inverse problems in partial differential equations. Journal of Computational and Applied Mathematics, 2020, 375.
 Gong R, Hofmann B, Zhang Y*. A new class of accelerated regularization methods, with application to bioluminescence tomography. Inverse Problems, 2020, 36, 055013.
 Baravdish G, Svensson O, Gulliksson M, Zhang Y*. Damped second order flow applied to image denoising. IMA Journal of Applied Mathematics, 2019, 84, 1082–1111.
 Zhang Y, Yao Z, Forssen P, Fornstedt T. Estimating the rate constant from biosensor data via an adaptive variational Bayesian approach. Annals of Applied Statistics, 2019, 13, 2011-2042.
 Zhang Y, Hofmann B, On fractional asymptotical regularization of linear ill-posed problems in Hilbert spaces. Fractional Calculus and Applied Analysis, 2019, 22, 699-721.
 Zhang Y*, Hofmann B, On the second-order asymptotical regularization of linear ill-posed inverse problems. Applicable Analysis, 2020, 99, 1000–1025. (该杂志 2011年以来最受欢迎文章之一、排名第二；高被引论文) https://www.tandfonline.com/doi/full/10.1080/00036811.2018.1517412
 Zhang Y*, Gong R, Gulliksson M, Cheng X. A coupled complex boundary expanding compacts method for inverse source problems. Journal of Inverse and Ill-Posed Problems, 2018, 27, 67-86.
 Zhang Y*, Gong R, Cheng X, Gulliksson M. A dynamical regularization algorithm for solving inverse source problems of elliptic partial differential equations. Inverse Problems, 2018, 34, 065001.
 Lin G, Cheng X, Zhang Y*. A parametric level set based collage method for an inverse problem in elliptic partial differential equations. Journal of Computational and Applied Mathematics, 2018, 340, 101-121.
 Zhang Y*, Forssen P, Fornstedt T, Gulliksson M, Dai X. An adaptive regularization algorithm for recovering the rate constant distribution from biosensor data. Inverse Problems in Science and Engineering, 2018, 26, 1464-1489.
 Dai X, Zhang C, Zhang Y, Gulliksson M. Topology optimization of steady Navier-Stokes flow via a piecewise constant level set method. Structural and Multidisciplinary Optimization. 2018, 57, 2193-2203.
 Yao Z, Zhang Y, Bai Z, Eddy W. Estimating the number of sources in magnetoencephalography using spiked population eigenvalues. Journal of the American Statistical Association, 2018, 113, 505-518.
 Cheng X, Lin G, Zhang Y, Gong R, Gulliksson M. A modified coupled complex boundary method for an inverse chromatography problem. Journal of Inverse and Ill-Posed Problems, 2018, 26, 33-49.
 Lin G, Zhang Y*, Cheng X, Gulliksson M, Forssen P, Fornstedt T. A regularizing Kohn-Vogelius formulation for the model-free adsorption isotherm estimation problem in chromatography. Applicable Analysis, 2018, 97, 13-40.
 Zhang Y*, Lin G, Gulliksson M, Forssen P, Fornstedt T, Cheng X. An adjoint method in inverse problems of chromatography. Inverse Problems in Science and Engineering, 2017, 25(8), 1112-1137.
 Zhang Y*, Lin G, Forssen P, Gulliksson M, Fornstedt T, Cheng X. A regularization method for the reconstruction of adsorption isotherms in liquid chromatography. Inverse Problems, 2016, 32(10), 105005.
 Gulliksson M, Holmbom A, Persson J, Zhang Y*. A separating oscillation method of recovering the G-limit in standard and non-standard homogenization problems. Inverse Problems, 2016, 32(2), 025005.
 Zhang Y*, Gulliksson M, Hernandez Bennetts V, Schaffernicht E. Reconstructing gas distribution maps via an adaptive sparse regularization algorithm. Inverse Problems in Science and Engineering, 2016, 24(7), 1186-1204.
 Zhang Y*, Lukyanenko D, Yagola A. Using Lagrange principle for solving two-dimensional integral equation with a positive kernel. Inverse Problems in Science and Engineering. 2016, 24(5), 811-831.
 Zhang Y*, Lukyanenko D, Yagola A. An optimal regularization method for convolution equations on the sourcewise represented set. Journal of Inverse and Ill-Posed Problems. 2016, 23(5), 465-475.
 Chen T, Gatchell M, Stockett M, Alexander J, Zhang Y, et al. Absolute fragmentation cross sections in atom-molecule collisions: scaling laws for non-statistical fragmentation of polycyclic aromatic hydrocarbon molecules. The Journal of Chemical Physics. 2014, 140(22) , 224-306.
 Zhang Y, Lukyanenko D, Yagola A. Using Lagrange principle for solving linear ill-posed problems with a priori information. Numerical Methods and Programming. 2013, 14, 468-482. (in Russian)
 Wang Y, Zhang Y*, Lukyanenko D, Yagola A. Recovering aerosol particle size distribution function on the set of bounded piecewise-convex functions. Inverse Problems in Science and Engineering, 2013, 21, 339-354.
 Wang Y, Zhang Y*, Lukyanenko D, Yagola A. A method of restoring the restoring aerosol particle size distribution function on the set of piecewise-convex functions. Numerical Methods and Programming, 2012, 13, 49-66. (in Russian)