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Xingyu Li

11 papers hereh-index 235 citations17 works total

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

author position
  • middle author8

Across the 8 of 11 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM6
  • astro-ph.HE5
same name
  • Xingyu Li — 12 papers, h 13
  • Xingyu Li — 12 papers, h 13
  • Xingyu Li — 9 papers, h 9
  • Xingyu Li — 9 papers, h 5
  • Xingyu Li — 8 papers, h 4
  • Xingyu Li — 5 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

activity
20242026
most citedGRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)

6 citations · 8 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

astro-ph.IM2025★ 2 cited

Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes

GRAND Collaboration, Jaime Álvarez-Muniz, Rafael Alves Batista +118

The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of Ultra-High-Energy (UHE) particles of cosmic origin. Its main goal is to find the l…

astro-ph.HE2025

A water Cherenkov detector prototype for future high-energy tau-neutrino experiment

Monong Yu, Yiren Chen, Lei Wang +5

The detection of high-energy tau neutrinos remains a critical challenge in neutrino astronomy, limited by inadequate angular resolution and sensitivity in current detectors like Ic…

astro-ph.IM2025

The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC 2025)

Jaime Álvarez-Muñiz, Rafael Alves Batista, Aurélien Benoit-Lévy +133

The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses la…

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