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Abdo, A. I., A. E. Abdelghany, H. Wei, Z. M. J. A. and Wang, L., J. Zhang, and A. Mokhtar, "Perspective of agricultural water safety under combined future changes in crop water requirements and climate conditions in China", Theoretical and Applied Climatology, pp. 1-17, 2022. perspective_of_agricultural_water_safety_under_combined_future.pdf
El‑Hameed, M. A. M., M. Abuarab, N. Al‑Ansari, S. A. Mottaleb, G. A. Bakeer, Y. Gyasi‑Agyei, and A. Mokhtar, "Phycoremediation of contaminated water by cadmium (Cd) using two cyanobacterial strains (Trichormus variabilis and Nostoc muscorum)", Environmental Sciences Europe , vol. 33, no. 12: Springer Berlin Heidelberg, pp. 135, 2021. Abstract

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Mokhtar, A., A. Elbeltagi, Y. Gyasi-Agyei, N. Al-Ansari, and M. K. Abdel-Fattah, "Predicting of Irrigation Water Quality Indices based on Machine learning and Regression Models ", Applied Water Science, vol. 12, issue 4, pp. 1-14, 2022. predicting_of_irrigation_water_quality_indices_based_on_machine_learning_and_regression_models.pdf
Elbeltagi, A., N. Kumari, J. K. Dharpure, A. Mokhtar, K. Alsafadi, M. Kumar, B. Mehdinejadiani, H. Ramezani Etedali, Y. Brouziyne, A. R. M. T. Islam, et al., "Prediction of Combined Terrestrial Evapotranspiration Index (CTEI) Over Large River Basin Based on Machine Learning Approaches", Water, vol. 13, no. 12: Springer Berlin Heidelberg, pp. 547, 2021. Abstract

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Mokhtar, A., H. He, N. Al-Ansari, W. El-Ssawy, R. Graf, P. Aghelpour6, S. M. Hafez, and M. Abuarab, "Prediction of Irrigation Water Requirements for Green Beans‑Based Machine Learning Algorithm Models in Arid Region", Water Resources Management, pp. 1-24, 2023. prediction_of_irrigation_water_requirements_for_green_beans-based_machine_learning_algorithm_models_in_arid_region.pdf