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researcher

Fan Zhang

4 papers hereh-index 18713 citations55 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph2
  • physics.flu-dyn2
same name
  • Fan Zhang — 34 papers, h 46
  • Fan Zhang — 23 papers, h 56
  • Fan Zhang — 14 papers
  • Fan Zhang — 13 papers
  • Fan Zhang — 12 papers, h 22
  • Fan Zhang — 11 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedA vertex-weighted-Least-Squares gradient reconstruction

14 citations · 14 across the 1 of their papers we have counts for

collaborators

4 papers

physics.flu-dyn2021

On the numerical overshoots of shock-capturing schemes

Huaibao Zhang, Fan Zhang

This note introduces a simple metric for benchmarking shock-capturing schemes. This metric is especially focused on the shock-capturing overshoots, which may undermine the robustne…

physics.comp-ph2018

Towards optimal high-order compact schemes for simulating compressible flows

Huaibao Zhang, Fan Zhang, Chunguang Xu

Weighted compact nonlinear schemes (WCNS) [Deng and Zhang, JCP 165(2000): 22-44] were developed to improve the performance of the compact high-order nonlinear schemes (CNS) by util…

physics.comp-ph2018

An extending strategy based on TENO framework for hyperbolic conservation laws

Fan Zhang, Jun Liu, Huaibao Zhang +1

Recently, the targeted ENO (TENO) schemes give a novel framework to keep optimal high-order spatial reconstruction wherever discontinuity is deemed to be vanished, including at smo…

physics.flu-dyn2017★ 14 cited

A vertex-weighted-Least-Squares gradient reconstruction

Fan Zhang

Gradient reconstruction is a key process for the spatial accuracy and robustness of finite volume method, especially in industrial aerodynamic applications in which grid quality af…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.