16 citations as recorded by crossref.

1. The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. https://doi.org/10.3390/rs13030351
2. Decentralized Flexible Radar Rainfall Estimation Method Using Radar Reflectivity Imaging R. Thapliyal https://doi.org/10.1007/s41976-025-00252-1
3. The 3D Neural Network for Improving Radar-Rainfall Estimation in Monsoon Climate N. Roslan et al. https://doi.org/10.3390/atmos12050634
4. A Study on Radar–Gauge Rainfall Data Merging and Its Impact on Flood Simulation Y. Peng et al. https://doi.org/10.3390/rs18152587
5. Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region S. Vogl et al. https://doi.org/10.3390/w14030276
6. Improving radar estimates of rainfall using an input subset of artificial neural networks T. Yang et al. https://doi.org/10.1117/1.JRS.10.026013
7. Error modeling and hierarchical Bayesian fusion for spaceborne and ground radar rainfall data L. Kou et al. https://doi.org/10.1016/j.jhydrol.2023.130599
8. A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency T. Kashiwao et al. https://doi.org/10.1016/j.asoc.2017.03.015
9. Predicting streamflows to a multipurpose reservoir using artificial neural networks and regression techniques M. Hassan et al. https://doi.org/10.1007/s12145-014-0161-7
10. Optimization of X-Band Radar Rainfall Retrieval in the Southern Andes of Ecuador Using a Random Forest Model J. Orellana-Alvear et al. https://doi.org/10.3390/rs11141632
11. Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. https://doi.org/10.1016/j.jhydrol.2023.129090
12. Three-dimensional fusion of spaceborne and ground radar reflectivity data using a neural network-based approach L. Kou et al. https://doi.org/10.1007/s00376-017-6334-9
13. Development of streamflow prediction models for a weir using ANN and step-wise regression M. Hassan et al. https://doi.org/10.1007/s40808-018-0500-7
14. Observation and analysis of atmospheric rainfall based on the very high frequency radar H. Qing et al. https://doi.org/10.1049/iet-rsn.2016.0089
15. A comparison of Artificial Neural Networks (ANN) and Local Linear Regression (LLR) techniques for predicting monthly reservoir levels M. Shamim et al. https://doi.org/10.1007/s12205-015-0298-z
16. Artificial neural network and regressed beam-column connection explicit mathematical moment-rotation expressions A. Kueh https://doi.org/10.1016/j.jobe.2021.103195