14 citations as recorded by crossref.

1. 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.
2. Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting M. Asif et al.
3. A novel framework for multi-step water level predicting by spatial–temporal deep learning models based on integrated physical models S. Zhang et al.
4. 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
5. Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways N. Zeydalinejad & R. Dehghani
6. PANet: a physics and action informed network for water level prediction in canal systems X. Lei et al.
7. A Systematic Literature Review of MODFLOW Combined with Artificial Neural Networks (ANNs) for Groundwater Flow Modelling K. Kishor et al.
8. Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models D. Roy et al.
9. Integral delay inspired deep learning model for single pool water level prediction X. Lei et al.
10. Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques Y. Zhou et al.
11. Modelling clogging dynamics in groundwater systems using multiscale homogenized physics informed neural network (MHPINN) A. Chew et al.
12. A deep learning approach for energy management systems in smart buildings towards a low-carbon economy D. Gao
13. Employing machine learning to quantify long-term climatological and regulatory impacts on groundwater availability in intensively irrigated regions S. Nozari et al.
14. Physics Informed Machine Learning (PIML) for Design, Management and Resilience-Development of Urban Infrastructures: A Review A. Chew et al.