| Mathematical foundations of the immersed finite element method WK Liu, DW Kim, S Tang Computational Mechanics 39, 211-222, 2007 | 137 | 2007 |
| Clustering discretization methods for generation of material performance databases in machine learning and design optimization H Li, OL Kafka, J Gao, C Yu, Y Nie, L Zhang, M Tajdari, S Tang, X Guo, ... Computational Mechanics 64, 281-305, 2019 | 110 | 2019 |
| A mathematical framework of the bridging scale method S Tang, TY Hou, WK Liu International Journal for Numerical Methods in Engineering 65 (10), 1688-1713, 2006 | 109 | 2006 |
| Explicit diffusive kinetic schemes for nonlinear degenerate parabolic systems D Aregba-Driollet, R Natalini, S Tang Mathematics of computation 73 (245), 63-94, 2004 | 98 | 2004 |
| Hierarchical deep-learning neural networks: finite elements and beyond L Zhang, L Cheng, H Li, J Gao, C Yu, R Domel, Y Yang, S Tang, WK Liu Computational Mechanics 67, 207-230, 2021 | 95 | 2021 |
| From virtual clustering analysis to self-consistent clustering analysis: a mathematical study S Tang, L Zhang, WK Liu Computational Mechanics 62, 1443-1460, 2018 | 80 | 2018 |
| Construction and qualitative behavior of the solution of the perturbated Riemann problem for the system of one-dimensional isentropic flow with damping L Hsiao, SQ Tang Journal of differential equations 123 (2), 480-503, 1995 | 56 | 1995 |
| A pseudo-spectral multiscale method: interfacial conditions and coarse grid equations S Tang, TY Hou, WK Liu Journal of Computational Physics 213 (1), 57-85, 2006 | 55 | 2006 |
| A finite difference approach with velocity interfacial conditions for multiscale computations of crystalline solids S Tang Journal of Computational Physics 227 (8), 4038-4062, 2008 | 52 | 2008 |
| Numerical approximation of the viscous quantum hydrodynamic model for semiconductors A Jüngel, S Tang Applied Numerical Mathematics 56 (7), 899-915, 2006 | 51 | 2006 |
| Matching boundary conditions for lattice dynamics X Wang, S Tang International Journal for Numerical Methods in Engineering 93 (12), 1255-1285, 2013 | 50 | 2013 |
| Positive entropic schemes for a nonlinear fourth-order parabolic equation JA Carrillo, A Jüngel, S Tang | 41 | 2001 |
| On hydrodynamic instabilities, chaos and phase transition DY Hsieh, SQ Tang, XP Wang Acta Mechanica Sinica 12, 1-14, 1996 | 38 | 1996 |
| A Petrov–Galerkin finite element method for the fractional advection–diffusion equation Y Lian, Y Ying, S Tang, S Lin, GJ Wagner, WK Liu Computer Methods in Applied Mechanics and Engineering 309, 388-410, 2016 | 35 | 2016 |
| HiDeNN-TD: reduced-order hierarchical deep learning neural networks L Zhang, Y Lu, S Tang, WK Liu Computer Methods in Applied Mechanics and Engineering 389, 114414, 2022 | 34 | 2022 |
| A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications WK Liu, G Karniadakis, S Tang, J Yvonnet Computational Mechanics 64, 275-277, 2019 | 33 | 2019 |
| Nonlinear stability for dissipative nonlinear evolution equations with ellipticity S Tang, H Zhao Journal of mathematical analysis and applications 233 (1), 336-358, 1999 | 32 | 1999 |
| Almost exact boundary condition for one-dimensional Schrödinger equations G Pang, L Bian, S Tang Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (6 …, 2012 | 31 | 2012 |
| High-order central difference scheme for Caputo fractional derivative Y Ying, Y Lian, S Tang, WK Liu Computer Methods in Applied Mechanics and Engineering 317, 42-54, 2017 | 29 | 2017 |
| Enriched reproducing kernel particle method for fractional advection–diffusion equation Y Ying, Y Lian, S Tang, WK Liu Acta Mechanica Sinica 34, 515-527, 2018 | 28 | 2018 |
