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20192023
most citedPushing automated morphological classifications to their limits with the Dark Energy Survey

44 citations · 161 across the 5 of their papers we have counts for

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astro-ph.GA2023★ 15 cited

Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events

Euclid Collaboration, L. Leuzzi, M. Meneghetti +216

Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…