30 citations as recorded by crossref.

1. A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations P. Patel et al. https://doi.org/10.5194/acp-24-2861-2024
2. Improved algorithm of aerosol particle size distribution based on remote sensing data Q. Yan et al. https://doi.org/10.1364/AO.58.008075
3. Simultaneous reconstruction of two microphysical aerosol characteristics from the lidar data S. Samoilova et al. https://doi.org/10.1016/j.jqsrt.2018.10.014
4. Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles A. Quirantes et al. https://doi.org/10.1016/j.atmosres.2019.06.009
5. Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations I. Veselovskii et al. https://doi.org/10.5194/amt-11-949-2018
6. Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data M. Lv et al. https://doi.org/10.1029/2017JD028102
7. Retrievals of vertically resolved aerosol microphysical particle parameters with regularization from spaceborne Aerosol and Carbon dioxide Detection Lidar (ACDL) Z. Bi et al. https://doi.org/10.5194/amt-18-7565-2025
8. Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. https://doi.org/10.5194/amt-14-4755-2021
9. A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data A. Sorrentino et al. https://doi.org/10.5194/amt-15-149-2022
10. Effect of tree tobacco leaf extracts on mortality rate of carmine cochineal Z. Hailu et al. https://doi.org/10.17660/ActaHortic.2022.1343.72
11. Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. https://doi.org/10.1016/j.jqsrt.2020.106932
12. Use of rotational Raman measurements in multiwavelength aerosol lidar for evaluation of particle backscattering and extinction I. Veselovskii et al. https://doi.org/10.5194/amt-8-4111-2015
13. Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data H. Di et al. https://doi.org/10.3390/rs10111753
14. ORACLES Campaign, September 2016: Inversion of HSRL-2 Observations with Regularization Algorithm into Particle Microphysical Parameters and Comparison to Airborne In-Situ Data A. Kolgotin et al. https://doi.org/10.3390/atmos14111661
15. A Bayesian approach for the retrieval of atmospheric particle properties from lidar data with uncertainty quantification G. Varini et al. https://doi.org/10.1088/1361-6420/adf003
16. Separate retrieval of microphysical characteristics in aerosol fractions from laser sensing data S. Samoiliva et al. https://doi.org/10.1016/j.jqsrt.2022.108168
17. Information content and sensitivity of the 3β + 2α lidar measurement system for aerosol microphysical retrievals S. Burton et al. https://doi.org/10.5194/amt-9-5555-2016
18. Fluorescence lidar observations of wildfire smoke inside cirrus: a contribution to smoke–cirrus interaction research I. Veselovskii et al. https://doi.org/10.5194/acp-22-5209-2022
19. Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. https://doi.org/10.5194/acp-21-12021-2021
20. Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar I. Veselovskii et al. https://doi.org/10.5194/acp-15-1647-2015
21. Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011 P. Sawamura et al. https://doi.org/10.5194/amt-7-3095-2014
22. About the effects of polarising optics on lidar signals and the Δ90 calibration V. Freudenthaler https://doi.org/10.5194/amt-9-4181-2016
23. Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al. https://doi.org/10.3390/rs14246208
24. Automated, unsupervised inversion of multiwavelength lidar data with TiARA: assessment of retrieval performance of microphysical parameters using simulated data D. Müller et al. https://doi.org/10.1364/AO.58.004981
25. Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects S. Lolli et al. https://doi.org/10.5194/amt-11-1639-2018
26. Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns D. Pérez-Ramírez et al. https://doi.org/10.1016/j.rse.2018.12.022
27. A Modified Look-Up Table Based Algorithm with a Self-Posed Scheme for Fine-Mode Aerosol Microphysical Properties Inversion by Multi-Wavelength Lidar Z. Zhou et al. https://doi.org/10.3390/rs16132265
28. Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France Q. Hu et al. https://doi.org/10.5194/acp-19-1173-2019
29. Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. https://doi.org/10.1016/j.jqsrt.2017.09.009
30. This is FAST: multivariate Full-permutAtion based Stochastic foresT method—improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar N. Wang et al. https://doi.org/10.1016/j.rse.2022.113226