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researcher

C. Dong

47 papers hereh-index 333.5k citations188 works total

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

author position
  • sole author1
  • first author12
  • middle author27
  • last author3

Across the 43 of 47 papers where every author was matched, so the position is known.

fields
  • astro-ph.EP21
  • astro-ph.IM8
  • physics.plasm-ph8
  • physics.space-ph5
  • astro-ph.SR3
  • astro-ph.HE1
same name
  • C. Dong — 214 papers, h 37
  • C. Dong — 178 papers, h 20
  • C. Dong — 104 papers, h 44
  • C. Dong — 95 papers
  • C. Dong — 54 papers, h 36
  • C. Dong — 39 papers, h 10

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
20112023
most citedAtmospheric escape from the TRAPPIST-1 planets and implications for habitability

209 citations · 1.3k across the 47 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

physics.plasm-ph2023

Data-Driven Modeling of Landau Damping by Fourier Neural Operator

Shichen Wei, Yuhong Liu, Haiyang Fu +2

The development of machine learning techniques enables us to construct surrogate models from data of direct numerical simulations, which has important implications for modeling com…

astro-ph.IM2023★ 1 cited

The case for studying other planetary magnetospheres and atmospheres in Heliophysics

Ian J. Cohen, Chris Arridge, Abigail Azari +37

Heliophysics is the field that "studies the nature of the Sun, and how it influences the very nature of space - and, in turn, the atmospheres of planetary bodies and the technology…

physics.plasm-ph2023★ 11 cited

Numerical Study of Magnetic Island Coalescence Using Magnetohydrodynamics With Adaptively Embedded Particle-In-Cell Model

Dion Li, Yuxi Chen, Chuanfei Dong +2

Collisionless magnetic reconnection typically requires kinetic treatments that are, in general, computationally expensive compared to fluid-based models. In this study, we use the…

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