16 citations as recorded by crossref.

1. A Vertically Structured Machine Learning Approach for Cloud Liquid and Ice Water Content Profiling Z. Pan et al. https://doi.org/10.3390/rs18132177
2. Cloud fields and aerosol classification with lidar using advanced AI approach Y. Peleg et al. https://doi.org/10.5194/amt-19-4415-2026
3. PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations T. Vogl et al. https://doi.org/10.5194/amt-17-6547-2024
4. Velocity Dealiasing for 94 GHz Vertically Pointing MMCR with Dual-PRF Technique H. Lin et al. https://doi.org/10.3390/rs15215234
5. Autonomous method for selection or validation of training samples for large size hyperspectral images J. Alameddine et al. https://doi.org/10.1117/1.JRS.17.038501
6. Cloud liquid water path detectability and retrieval accuracy from airborne passive microwave observations over Arctic sea ice N. Risse et al. https://doi.org/10.5194/amt-19-2197-2026
7. Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar A. Teisseire et al. https://doi.org/10.5194/amt-17-999-2024
8. A Machine Learning Model for FY-4A Cloud Detection Based on Physical Feature Fusion Y. Liang et al. https://doi.org/10.3390/rs18040536
9. Cloud and Precipitation Particle Identification Using Cloud Radar and Lidar Measurements: Retrieval Technique and Validation U. Romatschke & J. Vivekanandan https://doi.org/10.1029/2022EA002299
10. Liquid water determination by airborne millimeter cloud radar and in-situ size distribution measurements D. Zuo et al. https://doi.org/10.1016/j.atmosres.2023.106607
11. Low-level Arctic clouds: a blind zone in our knowledge of the radiation budget H. Griesche et al. https://doi.org/10.5194/acp-24-597-2024
12. Derivation of Aerial Insect Concentration With Triple Frequency Cloud Radar Observations M. Lochmann et al. https://doi.org/10.1109/TGRS.2026.3709607
13. Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks W. Schimmel et al. https://doi.org/10.5194/amt-15-5343-2022
14. Measurement of supercooled liquid water path in cold clouds based on a 183GHz airborne microwave radiometer W. Wang et al. https://doi.org/10.1016/j.atmosres.2023.106655
15. Long-term cloud characterization at the AGORA ACTRIS-CCRES station using a novel classification algorithm M. Tolentino et al. https://doi.org/10.5194/amt-19-2079-2026
16. Evaluation of CanESM Cloudiness, Cloud Type and Cloud Radiative Forcing Climatologies Using the CALIPSO-GOCCP and CERES Datasets F. Boudala et al. https://doi.org/10.3390/rs14153668