| New high-quality strong lens candidates with deep learning in the kilo-degree survey R Li, NR Napolitano, C Tortora, C Spiniello, LVE Koopmans, Z Huang, ... The Astrophysical Journal 899 (1), 30, 2020 | 69 | 2020 |
| Constraining the Rastall parameters in static space–times with galaxy-scale strong gravitational lensing R Li, J Wang, Z Xu, X Guo Monthly Notices of the Royal Astronomical Society 486 (2), 2407-2411, 2019 | 44 | 2019 |
| High-quality Strong Lens Candidates in the Final Kilo-Degree Survey Footprint R Li, NR Napolitano, C Spiniello, C Tortora, K Kuijken, LVE Koopmans, ... The Astrophysical Journal 923 (1), 16, 2021 | 36 | 2021 |
| Strong-lensing measurement of the total-mass-density profile out to three effective radii for z ∼ 0.5 early-type galaxies R Li, Y Shu, J Wang Monthly Notices of the Royal Astronomical Society 480 (1), 431-438, 2018 | 35 | 2018 |
| Lenses In VoicE (LIVE): searching for strong gravitational lenses in the VOICE@ VST survey using convolutional neural networks F Gentile, C Tortora, G Covone, LVE Koopmans, C Spiniello, Z Fan, R Li, ... Monthly Notices of the Royal Astronomical Society 510 (1), 500-514, 2022 | 22 | 2022 |
| Galaxy light profile convolutional neural networks (GaLNets). I. Fast and accurate structural parameters for billion-galaxy samples R Li, NR Napolitano, N Roy, C Tortora, F La Barbera, A Sonnenfeld, C Qiu, ... The Astrophysical Journal 929 (2), 152, 2022 | 20 | 2022 |
| Velocity-resolved reverberation mapping of changing-look active galactic nucleus NGC 4151 during outburst stage: Evidence for kinematics evolution of broad-line region SS Li, HC Feng, HT Liu, JM Bai, R Li, KX Lu, JG Wang, YK Huang, ... The Astrophysical Journal 936 (1), 75, 2022 | 16 | 2022 |
| Using deep Residual Networks to search for galaxy-Ly α emitter lens candidates based on spectroscopic selection R Li, Y Shu, J Su, H Feng, G Zhang, J Wang, H Liu Monthly Notices of the Royal Astronomical Society 482 (1), 313-320, 2019 | 16 | 2019 |
| Inferring galaxy dark halo properties from visible matter with machine learning R von Marttens, L Casarini, NR Napolitano, S Wu, V Amaro, R Li, ... Monthly Notices of the Royal Astronomical Society 516 (3), 3924-3943, 2022 | 13 | 2022 |
| Central velocity dispersion catalogue of LAMOST-DR7 galaxies NR Napolitano, G D’Ago, C Tortora, G Zhao, AL Luo, B Tang, W Zhang, ... Monthly Notices of the Royal Astronomical Society 498 (4), 5704-5719, 2020 | 11 | 2020 |
| Potential scientific synergies in weak lensing studies between the CSST and Euclid space probes DZ Liu, XM Meng, XZ Er, ZH Fan, M Kilbinger, GL Li, R Li, T Schrabback, ... Astronomy & Astrophysics 669, A128, 2023 | 10 | 2023 |
| The Fornax Cluster VLT Spectroscopic Survey-IV. Cold kinematical substructures in the Fornax core from COSTA NR Napolitano, M Gatto, C Spiniello, M Cantiello, M Hilker, M Arnaboldi, ... Astronomy & Astrophysics 657, A94, 2022 | 8 | 2022 |
| Discovering strongly lensed quasar candidates with catalogue-based methods from DESI Legacy Surveys Z He, N Li, X Cao, R Li, H Zou, S Dye Astronomy & Astrophysics 672, A123, 2023 | 7 | 2023 |
| Discovery of Two Einstein Crosses from Massive Post-blue Nugget Galaxies at z> 1 in KiDS NR Napolitano, R Li, C Spiniello, C Tortora, A Sergeyev, G D’Ago, X Guo, ... The Astrophysical Journal Letters 904 (2), L31, 2020 | 7 | 2020 |
| Galaxy morphoto-Z with neural Networks (GaZNets)-I. Optimized accuracy and outlier fraction from imaging and photometry R Li, NR Napolitano, H Feng, R Li, V Amaro, L Xie, C Tortora, M Bilicki, ... Astronomy & Astrophysics 666, A85, 2022 | 5 | 2022 |
| Galaxy–galaxy lensing in the VOICE deep survey R Luo, L Fu, W Luo, NR Napolitano, L Xie, M Radovich, J Liu, R Li, ... Astronomy & Astrophysics 668, A12, 2022 | 4 | 2022 |
| DenseLens–Using DenseNet ensembles and information criteria for finding and rank-ordering strong gravitational lenses BC Nagam, LVE Koopmans, EA Valentijn, GV Kleijn, JTA De Jong, ... Monthly Notices of the Royal Astronomical Society 523 (3), 4188-4201, 2023 | 3 | 2023 |
| lemon: LEns MOdelling with Neural networks – I. Automated modelling of strong gravitational lenses with Bayesian Neural Networks F Gentile, C Tortora, G Covone, LVE Koopmans, R Li, L Leuzzi, ... Monthly Notices of the Royal Astronomical Society 522 (4), 5442-5455, 2023 | 3 | 2023 |
| Galaxy Spectra neural Networks (GaSNets). I. Searching for strong lens candidates in eBOSS spectra using Deep Learning F Zhong, R Li, NR Napolitano Research in Astronomy and Astrophysics 22 (6), 065014, 2022 | 2 | 2022 |
| The discrepancy between Einstein mass and dynamical mass for SIS and power-law mass models R Li, J Wang, Y Shu, Z Xu The Astrophysical Journal 855 (1), 64, 2018 | 2 | 2018 |
