| A new anisotropic mesh adaptation method based upon hierarchical a posteriori error estimates W Huang, L Kamenski, J Lang Journal of Computational Physics 229 (6), 2179–2198, 2010 | 63 | 2010 |
| A geometric discretization and a simple implementation for variational mesh generation and adaptation W Huang, L Kamenski Journal of Computational Physics 301, 322–337, 2015 | 61 | 2015 |
| On the mesh nonsingularity of the moving mesh PDE method W Huang, L Kamenski Mathematics of Computation 87, 1887–1911, 2018 | 51 | 2018 |
| Conditioning of finite element equations with arbitrary anisotropic meshes L Kamenski, W Huang, H Xu Mathematics of Computation 83 (289), 2187–2211, 2014 | 51 | 2014 |
| How a nonconvergent recovered Hessian works in mesh adaptation L Kamenski, W Huang SIAM Journal on Numerical Analysis 52 (4), 1692–1708, 2014 | 28 | 2014 |
| A comparative numerical study of meshing functionals for variational mesh adaptation W Huang, L Kamenski, RD Russell Journal of Mathematical Study 48 (2), 168–186, 2015 | 21 | 2015 |
| Why do we need Voronoi cells and Delaunay meshes? Essential properties of the Voronoi finite volume method K Gärtner, L Kamenski Computational Mathematics and Mathematical Physics 59 (12), 1930–1944, 2019 | 19* | 2019 |
| Stability of explicit one-step methods for P1-finite element approximation of linear diffusion equations on anisotropic meshes W Huang, L Kamenski, J Lang SIAM Journal on Numerical Analysis 54 (3), 1612–1634, 2016 | 12* | 2016 |
| Tetrahedral mesh improvement using moving mesh smoothing and lazy searching flips F Dassi, L Kamenski, H Si Procedia Engineering 163, 302–314, 2016 | 11 | 2016 |
| Mesh smoothing: an MMPDE moving mesh approach W Huang, L Kamenski, H Si Research Note of the 24th International Meshing Roundtable, 2015 | 11* | 2015 |
| Anisotropic mesh adaptation based on Hessian recovery and a posteriori error estimates L Kamenski TU Darmstadt, 2009 | 11 | 2009 |
| Tetrahedral mesh improvement using moving mesh smoothing, lazy searching flips, and RBF surface reconstruction F Dassi, L Kamenski, P Farrell, H Si Computer-Aided Design 103, 2–13, 2018 | 10 | 2018 |
| Conditioning of implicit Runge-Kutta integration for finite element approximation of linear diffusion equations on anisotropic meshes W Huang, L Kamenski, J Lang Journal of Computational and Applied Mathematics 387, 112497, 2021 | 9 | 2021 |
| Numerical Geometry, Grid Generation and Scientific Computing: Proceedings of NUMGRID 2018 / Voronoi 150 VA Garanzha, L Kamenski, H Si Lecture Notes in Computational Science and Engineering, vol 131, Springer, Cham, 2019 | 9* | 2019 |
| A study on the conditioning of finite element equations with arbitrary anisotropic meshes via a density function approach L Kamenski, W Huang Journal of Mathematical Study 47 (2), 151–172, 2014 | 7 | 2014 |
| A study on using hierarchical basis error estimates in anisotropic mesh adaptation for the finite element method L Kamenski Engineering with Computers 28 (4), 451–460, 2012 | 7 | 2012 |
| Anisotropic mesh adaptation for variational problems using error estimation based on hierarchical bases W Huang, L Kamenski, X Li Canadian Applied Mathematics Quarterly 17 (3), 501–522, 2010 | 6 | 2010 |
| Stability of explicit Runge-Kutta methods for high order finite element approximation of linear parabolic equations W Huang, L Kamenski, J Lang Numerical Mathematics and Advanced Applications—ENUMATH 2013. LNCSE 103 …, 2015 | 5 | 2015 |
| Adaptive finite elements with anisotropic meshes W Huang, L Kamenski, J Lang Numerical Mathematics and Advanced Applications 2011, 33–42, 2013 | 2 | 2013 |
| Sharp Bounds on the Smallest Eigenvalue of Finite Element Equations with Arbitrary Meshes without Regularity Assumptions L Kamenski SIAM Journal on Numerical Analysis 59 (2), 983-997, 2021 | 1 | 2021 |
Weizhang HuangProfessor of Mathematics, University of KansasVerified email at ku.edu
