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Xin Li

3 papers hereh-index 498 citations11 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO1
  • astro-ph.IM1
  • physics.data-an1
same name
  • Xin Li — 22 papers, h 21
  • Xin Li — 13 papers, h 19
  • Xin Li — 11 papers, h 23
  • Xin Li — 9 papers, h 54
  • Xin Li — 8 papers
  • Xin Li — 8 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

most citedIdentifying extra high frequency gravitational waves generated from oscillons with cuspy potentials using deep neural networks

6 citations · 6 across the 1 of their papers we have counts for

collaborators

3 papers

physics.data-an2019★ 6 cited

Identifying extra high frequency gravitational waves generated from oscillons with cuspy potentials using deep neural networks

Li Li Wang, Jin Li, Nan Yang +1

During oscillations of cosmology inflation around the minimum of a cuspy potential after inflation, the existence of extra high frequency gravitational waves (HFGWs) (GHz) has been…

astro-ph.IM2018

Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors

Xilong Fan, Jin Li, Xin Li +2

In this paper, we study an application of deep learning to the advanced LIGO and advanced Virgo coincident detection of gravitational waves (GWs) from compact binary star mergers.…

astro-ph.CO2018

Testing the anisotropy of the universe using the simulated gravitational wave events from advanced LIGO and Virgo

Hai-Nan Lin, Jin Li, Xin Li

The detection of gravitational waves (GWs) provides a powerful tool to constrain the cosmological parameters. In this paper, we investigate the possibility of using GWs as standard…

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