9 citations as recorded by crossref.

1. Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways N. Zeydalinejad & R. Dehghani 10.1016/j.gsd.2022.100882
2. Elucidating the relationship between gaseous O2 and redox potential in a soil aquifer treatment system using data driven approaches and an oxygen diffusion model T. Turkeltaub et al. 10.1016/j.jhydrol.2023.129168
3. Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models D. Roy et al. 10.3390/w13213130
4. Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques Y. Zhou et al. 10.1016/j.jhydrol.2021.127255
5. Modelling clogging dynamics in groundwater systems using multiscale homogenized physics informed neural network (MHPINN) A. Chew et al. 10.1016/j.jestch.2023.101605
6. Kinetic modeling of the photocatalytic degradation of 17-β estradiol using polythiophene modified Al-doped ZnO: Influence of operating parameters, interfering ions, and estimation of the degradation pathways A. Majumder & A. Gupta 10.1016/j.jece.2021.106496
7. Employing machine learning to quantify long-term climatological and regulatory impacts on groundwater availability in intensively irrigated regions S. Nozari et al. 10.1016/j.jhydrol.2022.128511
8. Physics Informed Machine Learning (PIML) for Design, Management and Resilience-Development of Urban Infrastructures: A Review A. Chew et al. 10.1007/s11831-024-10145-z
9. Groundwater Level Forecast Via a Discrete Space-State Modelling Approach as a Surrogate to Complex Groundwater Simulation Modelling D. Roy et al. 10.1007/s11269-021-02787-6