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Meng-Ru Wu

16 papers hereh-index 697 citations17 works total

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

author position
  • middle author11
  • last author5

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE10
  • hep-ph4
  • cs.CL1
  • nucl-th1
same name
  • Meng-Ru Wu — 53 papers, h 29
  • Meng-Ru Wu — 4 papers
  • Meng-Ru Wu — 2 papers, h 2
  • Meng-Ru Wu — 2 papers, 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
20232026
most citedFast neutrino flavor conversions in a supernova: Emergence, evolution, and effects

33 citations · 88 across the 16 of their papers we have counts for

collaborators
Showing hep-phShow all

4 papers · 1 filter

hep-ph2026

Collective neutrino-antineutrino pair oscillations

Shih-Jie Huang, Meng-Ru Wu

In dense neutrino gas, pairing correlations between neutrinos and antineutrinos with opposite momenta can be nonzero in generalized neutrino quantum kinetic equations at the mean-f…

hep-ph2026

Circumstellar Medium of Supernovae as New Probes for Feebly Interacting Particles

Yu Cheng, Chui-Fan Kong, Yen-Hsun Lin +2

We propose a novel strategy to probe feebly interacting particles (FIPs) by exploiting the dense, confined circumstellar medium (CSM) surrounding core-collapse supernovae. FIPs pro…

hep-ph2025

Mapping the evolution of supernova-neutrino-boosted dark matter within the Milky Way

Yen-Hsun Lin, Meng-Ru Wu

Supernova-neutrino-boosted dark matter (SNν BDM) has emerged as a promising portal for probing sub-GeV dark matter. In this work, we investigate the behavior of BDM signatures or…

hep-ph2024★ 6 cited

Supernova-Neutrino-Boosted Dark Matter from All Galaxies

Yen-Hsun Lin, Meng-Ru Wu

It has been recently proposed that the boosted dark matter (BDM) by supernova neutrinos (SNν) from SN1987a or from the next Galactic supernova (SN) can serve as a novel component…

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