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researcher

L. Wen

61 papers hereh-index 5714.7k citations156 works total

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

author position
  • sole author1
  • first author8
  • middle author30
  • last author14

Across the 53 of 61 papers where every author was matched, so the position is known.

fields
  • gr-qc20
  • astro-ph.IM11
  • astro-ph10
  • astro-ph.HE9
  • astro-ph.CO4
  • astro-ph.GA3
same name
  • L. Wen — 97 papers, h 41
  • L. Wen — 86 papers, h 41
  • L. Wen — 70 papers
  • L. Wen — 27 papers, h 18
  • L. Wen — 23 papers, h 2
  • L. Wen — 16 papers, h 12

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
19992023
most citedGravitational waves from binary supermassive black holes missing in pulsar observations

494 citations · 4.4k across the 61 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

gr-qc2023★ 5 cited

Novel Deep Learning Approach to Detecting Binary Black Hole Mergers

Damon Beveridge, Alistair McLeod, Linqing Wen +1

Gravitational wave detection has opened up new avenues for exploring and understanding some of the fundamental principles of the universe. The optimal method for detecting modelled…

astro-ph.HE2023★ 30 cited

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…

astro-ph.HE2023★ 19 cited

Pre-merger sky localization of gravitational waves from binary neutron star mergers using deep learning

Chayan Chatterjee, Linqing Wen

The simultaneous observation of gravitational waves (GW) and prompt electromagnetic counterparts from the merger of two neutron stars can help reveal the properties of extreme matt…

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