862 citations · 866 across the 3 of their papers we have counts for
3 papers
astro-ph.IM2026★ 4 cited
Deep learning-based astronomical multimodal data fusion: A comprehensive review
Wujun Shao, Dongwei Fan, Chenzhou Cui +3
With the rapid advancements in observational technologies and the widespread implementation of large-scale sky surveys, diverse electromagnetic wave data (e.g., optical and infrare…
astro-ph.IM2024
Mining double-line spectroscopic candidates in the LAMOST medium-resolution spectroscopic survey using human-AI hybrid method
Shan-shan Li, Chun-qian Li, Chang-hua Li +5
We utilize a hybrid approach that integrates the traditional cross-correlation function (CCF) and machine learning to detect spectroscopic multi-systems, specifically focusing on d…
astro-ph.GA2015★ 862 cited
The First Data Release (DR1) of the LAMOST general survey
A. -L. Luo, Y. -H. Zhao, G. Zhao +140
The Large sky Area Multi-Object Spectroscopic Telescope (LAMOST) General Survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and…