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Guo-Qing Huang

4 papers hereh-index 323 citations6 works total

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

author position
  • middle author4

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

fields
  • gr-qc4
same name
  • Guo-Qing Huang — 2 papers, h 11
  • Guo-Qing Huang — 1 paper, h 3

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
20222026
most citedDetecting sublunar-mass primordial black holes with the Earth-Moon binary system

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

gr-qc2026

Bound-State Resonances of Schwarzschild-de Sitter Black Holes: Analytic Treatment

Qi-Dong Chen, Chong-Bin Chen, Guo-Qing Huang +2

Inspired by Mashhoon's framework connecting black hole quasi-normal modes (QNMs) to bound-state resonances in inverted potentials, Vo¨lkel's recent numerical analysi…

gr-qc2025

Wavelets for power spectral density estimation of gravitational wave data

Jin-Bao Zhu, Chao-Wan-Zhen Wang, Guo-Qing Huang +1

Power spectral density (PSD) estimation is a critical step in gravitational wave (GW) detectors data analysis. The Welch method is a typical non-parametric spectral estimation appr…

gr-qc2023

Testing the first law of black hole mechanics with gravitational waves

Chao-Wan-Zhen Wang, Jin-Bao Zhu, Guo-Qing Huang +1

The successful observation of gravitational waves has provided humanity with an additional method to explore the universe, particularly black holes. In this study, we utilize data…

gr-qc2022★ 5 cited

Detecting sublunar-mass primordial black holes with the Earth-Moon binary system

Ya-Ling Li, Guo-Qing Huang, Zong-Qiang Huang +1

In this paper we propose a new way to detect sublunar-mass primordial black holes (PBHs) by direct observations of the Earth-Moon binary system.Our method is based on treating PBH…

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