Groundwater qanat potential mapping using frequency ratio and Shannon's entropy models in the Moghan watershed, Iran. - Seyed Amir Naghibi; Hamid Reza Pourghasemi; Zohre Sadat Pourtaghi; Ashkan Rezaei (Earth Sci. Informatics, 2015)

Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data. - Ehsan Kamali Maskooni; Seyed Amir Naghibi; Hossein Hashemi 004; Ronny Berndtsson (Remote. Sens., 2020)

Ensemble of Pruned Bagged Mixture Density Networks for Improved Water Quality Retrieval Using Sentinel-2 and Landsat-8 Remote Sensing Data. - Alireza Taheri Dehkordi; Hossein Hashemi 004; Seyed Amir Naghibi; Ali Mehran (IEEE Geosci. Remote. Sens. Lett., 2024)

Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models. - Khabat Khosravi; Aitazaz A. Farooque; Amir Naghibi; Salim Heddam; Ahmad Sharafati; Javad Hatamiafkoueieh; Soroush Abolfathi (Ecol. Informatics, 2025)

Improved TDS forecasting in data-scarce regions using CEEMDAN and AI-driven hydro-climatic analysis. - Maryam Sayadi; Behzad Hessari; Majid Montaseri; Amir Naghibi (Environ. Model. Softw., 2025)