205 citations · 1.4k across the 57 of their papers we have counts for
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astro-ph.GA2022★ 11 cited
Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results
Shinji Fujita, A. M. Ito, Yusuke Miyamoto +15
Machine learning has been successfully applied in varied field but whether it is a viable tool for determining the distance to molecular clouds in the Galaxy is an open question. I…
astro-ph.GA2022★ 20 cited
An ALMA study of the massive molecular clump N159W-North in the Large Magellanic Cloud: A possible gas flow penetrating one of the most massive protocluster systems in the Local Group
Kazuki Tokuda, Taisei Minami, Yasuo Fukui +18
Massive dense clumps in the Large Magellanic Cloud can be an important laboratory to explore the formation of populous clusters. We report multiscale ALMA observations of the N159W…