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Chi-Wang Shu

50 papers hereh-index 11075.4k citations741 works total

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

author position
  • first author1
  • middle author18
  • last author26

Across the 45 of 50 papers where every author was matched, so the position is known.

fields
  • math.NA34
  • astro-ph6
  • astro-ph.CO5
  • quant-ph2
  • cs.CE1
  • physics.flu-dyn1
same name
  • Chi-Wang Shu — 8 papers, h 1
  • Chi-Wang Shu — 4 papers, h 3
  • Chi-Wang Shu — 3 papers, h 3
  • Chi-Wang Shu — 2 papers, h 1
  • Chi-Wang Shu — 2 papers, h 5
  • Chi-Wang Shu — 1 paper, h 4

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
20042024
most citedProvably Positive High-Order Schemes for Ideal Magnetohydrodynamics: Analysis on General Meshes

84 citations · 684 across the 49 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

quant-ph2023★ 5 cited

Loss-induced universal one-way transport in periodically driven systems

Chang Shu, Kai Zhang, Kai Sun

In this paper, we show that a periodically driven Aubry-André-Harper model with imbalanced on-site gain/loss supports universal one-way transport that is immune to impurities and i…

math.NA2023★ 16 cited

Efficient Finite Difference WENO Scheme for Hyperbolic Systems with Non-Conservative Products

Dinshaw S. Balsara, Deepak Bhoriya, Chi-Wang Shu +1

Higher order finite difference Weighted Essentially Non-Oscillatory (WENO) schemes have been constructed for conservation laws. For multidimensional problems, they offer high order…

physics.flu-dyn2023★ 3 cited

A variational quantum algorithm-based numerical method for solving potential and Stokes flows

Yangyang Liu, Zhen Chen, Chang Shu +5

This paper presents a numerical method based on the variational quantum algorithm to solve potential and Stokes flow problems. In this method, the governing equations for potential…

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