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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Groundwater level forecasting with machine learning models: A review
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 23

Showing 23 citing articles:

A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Projection of groundwater level fluctuations using deep learning and dynamic system response models in a drought affected area
Dilip Kumar Roy, Chitra Rani Paul, Md. Panjarul Haque, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Correlation–based Reliability Index Equipped with Machine Learning Methods to Complete the Groundwater Level Gaps
Seyed Hossein Hosseini, Ramtin Moeini
Results in Engineering (2025), pp. 104146-104146
Open Access
An Optimized Approach for Predicting Water Quality Features and A Performance evaluation for Mapping Surface Water Potential Zones Based on Discriminant Analysis (DA), Geographical Information System (GIS) and Machine Learning (ML) Models in Baitarani River Basin, Odisha
Abhijeet Das
Desalination and Water Treatment (2025) Vol. 321, pp. 101039-101039
Open Access
The reanalysis of a new strategy for groundwater level prediction using combined simulation of machine learning and Muskingum methods under ecological water replenishment
Kangning Sun, Qian Tan, Litang Hu, et al.
Environmental Research (2025), pp. 121194-121194
Closed Access
Advanced groundwater level forecasting with hybrid deep learning model: Tackling water challenges in Taiwan’s largest alluvial fan
Yu-Wen Chang, Wei Sun, Pu-Yun Kow, et al.
Journal of Hydrology (2025), pp. 132887-132887
Closed Access
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Li‐Chiu Chang, Ming-Ting Yang, Fi‐John Chang
Journal of Environmental Management (2025) Vol. 379, pp. 124835-124835
Closed Access
An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifers
Mingxu Cao, Zhenxue Dai, Junjun Chen, et al.
Water Research (2024) Vol. 268, pp. 122706-122706
Closed Access | Times Cited: 4
Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments
Desalew Meseret Moges, Holger Virro, Alexander Kmoch, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2805-2805
Open Access | Times Cited: 2
A groundwater level spatiotemporal prediction model based on graph convolutional networks with a long short-term memory
Lifang Wang, Zhengwen Jiang, Lei Song, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2962-2979
Closed Access | Times Cited: 2
Explainable Artificial Intelligence for Reliable Water Demand Forecasting to Increase Trust in Predictions
Claudia Maußner, Martin Oberascher, Arnold Autengruber, et al.
Water Research (2024) Vol. 268, pp. 122779-122779
Closed Access | Times Cited: 2
Surface water quality evaluation, apportionment of pollution sources and aptness testing for drinking using water quality indices and multivariate modelling in Baitarani River basin, Odisha
Abhijeet Das
HydroResearch (2024) Vol. 8, pp. 244-264
Open Access | Times Cited: 2
Siamese based few-shot learning lightweight transformer model for coagulant and disinfectant dosage simultaneous regulation
Bowen Li, Liu Li, Ruiyao Ma, et al.
Chemical Engineering Journal (2024), pp. 156025-156025
Closed Access | Times Cited: 1
Machine Learning-driven Optimization of Water Quality Index: A Synergistic ENTROPY-CRITIC Approach Using Spatio-Temporal Data
Imran Khan, Rashid Umar
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 1453-1475
Closed Access | Times Cited: 1
A machine learning approach to site groundwater contamination monitoring wells
Víctor Gómez‐Escalonilla, Esperanza Montero-González, Silvia Díaz-Alcaide, et al.
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 1
A Surrogate Approach to Model Groundwater Level in Time and Space Based on Tree Regressors
Pedro Martínez‐Santos, Víctor Gómez‐Escalonilla, Silvia Díaz-Alcaide, et al.
(2024)
Closed Access
A novel approach to forecast water table rise in arid regions using stacked ensemble machine learning and deep artificial intelligence models
Hussam Eldin Elzain, Osman Abdalla, Ali Al‐Maktoumi, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131668-131668
Closed Access
Groundwater level projections for aquifers affected by annual to decadal hydroclimate variations
Sivarama Krishna Reddy Chidepudi, Nicolas Masséi, Abderrahim Jardani, et al.
Authorea (Authorea) (2024)
Open Access
Utility of Certain AI Models in Climate-Induced Disasters
Ritusnata Mishra, Sanjeev Kumar, Himangshu Sarkar, et al.
World (2024) Vol. 5, Iss. 4, pp. 865-902
Open Access
A Water Level Forecasting Method Based on an Improved Jellyfish Search Algorithm Optimized with an Inverse-Free Extreme Learning Machine and Error Correction
Qiwei Zhang, Weiwei Shou, Xuefeng Wang, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2871-2871
Open Access
Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms
Khaled Alghafli, Xiaogang Shi, William Sloan, et al.
Groundwater for Sustainable Development (2024) Vol. 28, pp. 101389-101389
Open Access
Emerging Trends and Technologies for Conservation and Sustainable Approach in Groundwater Management
Lisha Borgohain, Manash P. Gogoi, Jayashri Dutta, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 175-202
Closed Access
Integrating an interpolation technique and AI models using Bayesian model averaging to enhance groundwater level monitoring
Nan Wang, Zhixian Wang
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region
Jamie Kim, Yueling Ma, R. M. Maxwell
Frontiers in Water (2024) Vol. 6
Open Access
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