75 citations · 266 across the 18 of their papers we have counts for
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astro-ph.CO2021★ 22 cited
Extracting Photometric Redshift from Galaxy Flux and Image Data using Neural Networks in the CSST Survey
Xingchen Zhou, Yan Gong, Xian-Min Meng +6
The accuracy of galaxy photometric redshift (photo-) can significantly affect the analysis of weak gravitational lensing measurements, especially for future high-precision surve…
astro-ph.CO2021★ 29 cited
Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)
Xingchen Zhou, Yan Gong, Xian-Min Meng +6
The estimation of spectroscopic and photometric redshifts (spec-z and photo-z) is crucial for future cosmological surveys. It can directly affect several powerful measurements of t…