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| SDSS J085855.98-010208.4 , the SIMBAD biblio (5 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST03:16:10 |
Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
| Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
|---|---|---|---|---|---|---|---|---|---|
| 2017MNRAS.471..167J | 18 | D | 1 | 16 | 84 | Finding strong lenses in CFHTLS using convolutional neural networks. | JACOBS C., GLAZEBROOK K., COLLETT T., et al. | ||
| 2018PASJ...70S..29S | 17 | D | 1 | 70 | 74 | Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI). I. Automatic search for galaxy-scale strong lenses. | SONNENFELD A., CHAN J.H.H., SHU Y., et al. | ||
| 2019A&A...630A..71S | 18 | D | 1 | 23 | 46 | Survey of gravitationally-lensed objects in HSC imaging (SuGOHI). III. Statistical strong lensing constraints on the stellar IMF of CMASS galaxies. | SONNENFELD A., JAELANI A.T., CHAN J., et al. | ||
2022MNRAS.513..439D 
|
17 | D | 1 | 302202 | 70 | Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions. | DRIVER S.P., BELLSTEDT S., ROBOTHAM A.S.G., et al. | ||
| 2025MNRAS.540.3384G | 205 | D | X F | 4 | 10 | ~ | Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey. | GAWADE P., MORE A., MORE S., et al. |
