| ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters N Pahlevan, A Mangin, SV Balasubramanian, B Smith, K Alikas, K Arai, ... Remote Sensing of Environment 258, 112366, 2021 | 180 | 2021 |
| Atmospheric correction over coastal waters using multilayer neural networks Y Fan, W Li, CK Gatebe, C Jamet, G Zibordi, T Schroeder, K Stamnes Remote Sensing of Environment 199, 218-240, 2017 | 117 | 2017 |
| OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors Y Fan, W Li, N Chen, JH Ahn, YJ Park, S Kratzer, T Schroeder, J Ishizaka, ... Remote Sensing of Environment 253, 112236, 2020 | 71 | 2020 |
| Progress in forward-inverse modeling based on radiative transfer tools for coupled atmosphere-snow/ice-ocean systems: A review and description of the AccuRT model K Stamnes, B Hamre, S Stamnes, N Chen, Y Fan, W Li, Z Lin, J Stamnes Applied Sciences 8 (12), 2682, 2018 | 38 | 2018 |
| Neural network method to correct bidirectional effects in water-leaving radiance Y Fan, W Li, KJ Voss, CK Gatebe, K Stamnes Applied Optics 55 (1), 10-21, 2016 | 18 | 2016 |
| New treatment of strongly anisotropic scattering phase functions: the Delta-M+ method Z Lin, N Chen, Y Fan, W Li, K Stamnes, S Stamnes Journal of the atmospheric sciences 75 (1), 327-336, 2018 | 14 | 2018 |
| Machine learning algorithms for retrievals of aerosol and ocean color products from FY-3D MERSI-II instrument Y Fan, S Li, X Han, K Stamnes Journal of Quantitative Spectroscopy and Radiative Transfer 250, 107042, 2020 | 11 | 2020 |
| Advantages of Measuring the Q Stokes Parameter in Addition to the Total Radiance I in the Detection of Absorbing Aerosols S Stamnes, Y Fan, N Chen, W Li, T Tanikawa, Z Lin, X Liu, S Burton, ... Frontiers in Earth Science 6, 34, 2018 | 9 | 2018 |
| A snowfall detection algorithm for ATMS over ocean, sea ice, and coast Y You, H Meng, J Dong, Y Fan, RR Ferraro, G Gu, L Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 7 | 2022 |
| Inferring inherent optical properties and water constituent profiles from apparent optical properties Y Fan, W Li, VS Calzado, C Trees, S Stamnes, G Fournier, D McKee, ... Optics Express 23 (15), A987-A1009, 2015 | 7 | 2015 |
| Snow parameter retrieval (SPR) algorithm for GCOM-C/SGLI N Chen, W Li, Y Fan, Y Zhou, T Aoki, T Tanikawa, M Niwano, M Hori, ... Remote Sens. Environ, 2021 | 6 | 2021 |
| A new algorithm for simultaneous retrieval of aerosol and marine parameters in coastal environments K Stamnes, W Li, Y Fan, B Hamre, Ø Frette, A Folkestad, K So/rensen, ... AIP Conference Proceedings 1531 (1), 919-922, 2013 | 5 | 2013 |
| A neural network method to correct bidirectional effects in water-leaving radiance Y Fan, W Li, KJ Voss, CK Gatebe, K Stamnes AIP Conference Proceedings 1810 (1), 2017 | 3 | 2017 |
| Laser light propagation in a turbid medium: solution including multiple scattering effects K Stamnes, W Li, S Stamnes, Y Hu, Y Zhou, N Chen, Y Fan, B Hamre, ... The European Physical Journal D 77 (6), 110, 2023 | 2 | 2023 |
| Simultaneous retrieval of aerosol and marine parameters in coastal areas using a coupled atmosphere-ocean radiative transfer model Y Fan, W Li, K Stamnes, JJ Stamnes, K Sørensen Proceedings of the Sentinel-3 for Science Workshop, 2015 | 2 | 2015 |
| A fast yet accurate algorithm for retrieval of aerosol and marine parameters in coastal waters KH Stamnes, W Li, Y Fan, N Chen, T Tanikawa, B Hamre, JJ Stamnes AGU Fall Meeting Abstracts 2010, GC51F-0801, 2010 | 2 | 2010 |
| Quantifying Uncertainties in OC-SMART Ocean Color Retrievals: A Bayesian Inversion Algorithm E Pachniak, Y Fan, W Li, K Stamnes Algorithms 16 (6), 301, 2023 | 1 | 2023 |
| Enhancement of NOAA Snowfall Rate Product through Machine Learning Y Fan, H Meng, J Dong, C Kongoli, Y You, RR Ferraro AGU Fall Meeting Abstracts 2022, IN45C-0382, 2022 | 1 | 2022 |
| A sensor-agnostic albedo retrieval method for realistic sea ice surfaces-Model and validation. Y Zhou, W Li, N Chen, Y Fan, K Stamnes Cryosphere Discussions, 2022 | 1 | 2022 |
| Snow-covered area using machine learning techniques C Gatebe, W Li, N Chen, Y Fan, R Poudyal, L Brucker, K Stamnes IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 1 | 2018 |
Zhenyi LinStevens Institute of TechnologyVerified email at stevens.edu
