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Yanou Cui

6 papers hereh-index 5504 citations7 works total

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

author position
  • first author1
  • middle author5

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

fields
  • hep-ph4
  • astro-ph.CO1
  • hep-ex1
same name
  • Yanou Cui — 62 papers, h 33
  • Yanou Cui — 12 papers
  • Yanou Cui — 2 papers, h 2
  • Yanou Cui — 1 paper, h 2

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
20182026
most citedLong-Lived Particles at the Energy Frontier: The MATHUSLA Physics Case

385 citations · 400 across the 6 of their papers we have counts for

collaborators
Showing hep-phShow all

4 papers · 1 filter

hep-ph2026

Direct Detection of Millicharged Particles from Supernovae

Yanou Cui, Fengyi Li, Xiaolin Qi +2

This work proposes a new terrestrial probe for millicharged particles (mCPs) and demonstrates promising discovery prospects. mCPs can be copiously produced in core-collapse superno…

hep-ph2025

Dedicated Searches for Millicharged Particles at Intensity-Frontier Facilities: SpinQuest and SHiP

Leo Bailloeul, Matthew Citron, Yanou Cui +7

We conduct a dedicated study of searches for millicharged particles (mCPs) utilizing scintillator-based detectors at high-intensity fixed-target experiments, with particular focus…

hep-ph2024★ 2 cited

The Sound of Dark Sectors in Pulsar Timing Arrays

Amitayus Banik, Yanou Cui, Yu-Dai Tsai +1

A phase transition in the dark sector (DS) presents a promising explanation for the stochastic gravitational wave (GW) signals detected in recent observations by Pulsar Timing Arra…

hep-ph2018★ 385 cited

Long-Lived Particles at the Energy Frontier: The MATHUSLA Physics Case

David Curtin, Marco Drewes, Matthew McCullough +85

We examine the theoretical motivations for long-lived particle (LLP) signals at the LHC in a comprehensive survey of Standard Model (SM) extensions. LLPs are a common prediction of…

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