62 citations as recorded by crossref.

1. Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station K. Voudouri et al.
2. Achieve accurate recognition of 3D point cloud images by studying the scattering characteristics of typical targets Q. Li et al.
3. Cellular Self-Structuring and Turbulent Behaviors in Atmospheric Laminar Channels I. Roșu et al.
4. SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality K. Stebel et al.
5. An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al.
6. Optical and geometrical aerosol particle properties over the United Arab Emirates M. Filioglou et al.
7. DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al.
8. Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al.
9. Vertical distribution of type-discriminated aerosol concentration from a three-wavelength backscatter spaceborne lidar F. Qayyum et al.
10. Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al.
11. Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al.
12. Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models Y. Chang et al.
13. Comparison of two automated aerosol typing methods and their application to an EARLINET station K. Voudouri et al.
14. An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al.
15. Airborne Lidar Observations of a Spring Phytoplankton Bloom in the Western Arctic Ocean J. Churnside et al.
16. Spatio-temporal discrimination of molecular, aerosol and cloud scattering and polarization using a combination of a Raman lidar, Doppler cloud radar and microwave radiometer D. Wang et al.
17. Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al.
18. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al.
19. CIAO main upgrade: building up an ACTRIS-compliant aerosol in situ laboratory T. Laurita et al.
20. Characterization of aerosol over the eastern Mediterranean by polarization-sensitive Raman lidar measurements during A-LIFE – aerosol type classification and type separation S. Groß et al.
21. Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko
22. Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al.
23. Geometrical and Microphysical Properties of Clouds Formed in the Presence of Dust above the Eastern Mediterranean E. Marinou et al.
24. Properties of Saharan Dust Versus Local Urban Dust—A Case Study D. Szczepanik et al.
25. Examining the characteristics of aerosols: a statistical analysis based on a decade of lidar and photometer observations at the Eastern border of ACTRIS D. Nicolae et al.
26. Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al.
27. Machine Learning Techniques for Vertical Lidar-Based Detection, Characterization, and Classification of Aerosols and Clouds: A Comprehensive Survey S. Lolli
28. Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET A. del Águila et al.
29. HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al.
30. Characterization of Historical Aerosol Optical Depth Dynamics Using LSTM and Peak Enhancement Techniques H. Cămărășan et al.
31. Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al.
32. Aerosol Typing Based on Multiwavelength Lidar Observations and Meteorological Model Data M. Mylonaki et al.
33. Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al.
34. Global aerosol-type classification using a new hybrid algorithm and Aerosol Robotic Network data X. Wei et al.
35. Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al.
36. Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al.
37. Determination of Lidar Ratio for Major Aerosol Types over Western North Pacific Based on Long-Term MPLNET Data S. Wang et al.
38. HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al.
39. Investigation of artificial neural network performance in the aerosol properties retrieval N. Srivastava et al.
40. A selective review of ozone differential absorption lidar systems J. Ji et al.
41. Analysis of organic aerosol concentration using fluorescence lidar coupled with the weather research and Forecasting model with Chemistry W. Zhang et al.
42. Analysis of sulfate aerosols over Austria: a case study C. Talianu & P. Seibert
43. Classification of lidar measurements using supervised and unsupervised machine learning methods G. Farhani et al.
44. Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al.
45. Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories M. Adam et al.
46. ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation A. Vainiger et al.
47. The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination I. Roșu et al.
48. FLARE-GMM: an automatic aerosol typing model based on Mie–Raman–fluorescence lidar measurements with LILAS R. Miri et al.
49. Optical properties of aerosol and cloud particles measured by a single-line-extracted pure rotational Raman lidar L. Peng et al.
50. Automated time–height-resolved air mass source attribution for profiling remote sensing applications M. Radenz et al.
51. Spatiotemporal variability and representativeness of aerosol and clouds over the PANhellenic GEophysical observatory of Antikythera K. Voudouri et al.
52. A machine learning approach for aerosol classification using sun photometer and lidar data J. Buxmann et al.
53. ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications A. Bellini et al.
54. Smoke of extreme Australian bushfires observed in the stratosphere over Punta Arenas, Chile, in January 2020: optical thickness, lidar ratios, and depolarization ratios at 355 and 532 nm K. Ohneiser et al.
55. Characterization of forest fire and Saharan desert dust aerosols over south-western Europe using a multi-wavelength Raman lidar and Sun-photometer V. Salgueiro et al.
56. Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al.
57. Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering N. Siomos et al.
58. Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm J. Hofer et al.
59. Aerosol typing results from AERONET data classification and NATALI retrieval A. Nemuc et al.
60. Cloud Chamber Studies on the Linear Depolarisation Ratio of Small Cirrus Ice Crystals A. Hamel et al.
61. Ground-Based Measurements of Cloud Properties at the Bucharest–Măgurele Cloudnet Station: First Results R. Pîrloagă et al.
62. Aerosol climatology from lidar observations using deep learning C. Talianu et al.