Jun Yao

Computational Mechanics · Energy · 2010–2021

A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Yao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Todd Arbogast
  2. Franco Brezzi
  3. Yvan Notay
  4. William J. Layton
  5. Mats G. Larson
  6. M. Karimi-Fard

Papers from Jun Yao's perspective

Ordered by how strongly the researchers Jun Yao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A non-local algorithm for image denoising
  2. A FAMILY OF MIMETIC FINITE DIFFERENCE METHODS ON POLYGONAL AND POLYHEDRAL MESHES
  3. Homogenization of a Darcy–Stokes system modeling vuggy porous media
  4. Convergence of the Mimetic Finite Difference Method for Diffusion Problems on Polyhedral Meshes (SIAM Journal on Numerical Analysis)
  5. Simulation of Flow and Dispersion on Pore-Space Images
  6. Image processing of multiphase images obtained via X‐ray microtomography: A review
  7. On the ability of a Darcy-scale model to capture wormhole formation during the dissolution of a porous medium (Journal of Fluid Mechanics)
  8. An aggregation-based algebraic multigrid method
  9. Wormhole formation in dissolving fractures
  10. Coupling Fluid Flow with Porous Media Flow (SIAM Journal on Numerical Analysis)

Their papers