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most citedLinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks

114 citations · 155 across the 2 of their papers we have counts for

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astro-ph.GA2019★ 114 cited

LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks

C. E. Petrillo, C. Tortora, G. Vernardos +17

We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses…