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researcher

Rui Li

4 papers hereh-index 437 citations11 works total

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

author position
  • first author1
  • middle author3

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

fields
  • astro-ph.GA3
  • astro-ph.IM1
same name
  • Rui Li — 11 papers, h 9
  • Rui Li — 10 papers, h 6
  • Rui Li — 9 papers, h 3
  • Rui Li — 9 papers, h 11
  • Rui Li — 8 papers, h 3
  • Rui Li — 8 papers, h 5

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

collaborators

4 papers

astro-ph.GA2025

Optical+NIR analysis of a Newly Confirmed Einstein ring at z∼1 from the Kilo-Degree Survey: Dark matter fraction, total and dark matter density slope and IMF

Rui Li, Nicola R. Napolitano, Giuseppe D Ago +16

We report the spectroscopic confirmation of a bright blue Einstein ring in the Kilo Degree Survey (KiDS) footprint: the Einstein ``blue eye''. Spectroscopic data from X-Shooter at…

astro-ph.GA2025

Identifying Compton-thick AGNs with Machine learning algorithm in Chandra Deep Field-South

Rui Zhang, Xiaotong Guo, Qiusheng Gu +7

Compton-thick active galactic nuclei (CT-AGNs), which are defined by column density NH​⩾1.5×1024 cm−2, emit feeble X-ray radiation, eve…

astro-ph.GA2025

Morpho-Photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star-Quasar-Galaxy Catalog

Hai-Cheng Feng, Rui Li, Nicola R. Napolitano +14

We present a novel multimodal neural network (MNN) for classifying astronomical sources in multiband ground-based observations, from optical to near infrared, to separate sources i…

astro-ph.IM2024

Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +25

Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and fle…

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