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Na Wang

6 papers hereh-index 5174 citations5 works total

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

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE6
same name
  • Na Wang — 18 papers, h 5
  • Na Wang — 14 papers, h 8
  • Na Wang — 13 papers, h 7
  • Na Wang — 11 papers, h 10
  • Na Wang — 11 papers, h 5
  • Na Wang — 10 papers, h 5

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
20132016
most citedConstraining the Braking Indices of Magnetars

108 citations · 202 across the 6 of their papers we have counts for

collaborators
Showing 2013Show all

4 papers · 1 filter

astro-ph.HE2013★ 25 cited

Numerical simulation of the electron capture process in a magnetar interior

Z. F. Gao, N. Wang, J. P. Yuan +2

In a superhigh magnetic field, direct Urca reactions can proceed for an arbitrary proton concentration. Since only the electrons with high energy E (E>Q, Q is the threshold…

astro-ph.HE2013★ 23 cited

Landau level-superfluid modified factor and effective X/γ-ray coefficient of a magnetar

Z. F. Gao, Q. H. Peng, N. Wang +2

As soon as the energy of electrons near the Fermi surface are higher than Q, the threshold energy of inverse β− decay, the electron capture process will dominate. The resulting…

astro-ph.HE2013★ 2 cited

The surface and inner temperatures of magnetars

Z. F. Gao, N. Wang, Q. H. Peng

Assuming that the timescale of the magnetic field decay is approximately equal to that of the stellar cooling via neutrino emission, we obtain a one-to-one relationship between the…

astro-ph.HE2013★ 18 cited

The effects of intense magnetic fields on Landau levels in a neutron star

Z. F. Gao, N. Wang, D. L. Song +2

In this paper, an approximate method of calculating the Fermi energy of electrons (EF​(e)) in a high-intensity magnetic field, based on the analysis of the distribution of a ne…

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