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:
Application of Artificial Intelligence Techniques for the Determination of Groundwater Level Using Spatio–Temporal Parameters
Amirhossein Najafabadipour, Gholamreza Kamali, Hossein Nezamabadi‐pour
ACS Omega (2022) Vol. 7, Iss. 12, pp. 10751-10764
Open Access | Times Cited: 23
Amirhossein Najafabadipour, Gholamreza Kamali, Hossein Nezamabadi‐pour
ACS Omega (2022) Vol. 7, Iss. 12, pp. 10751-10764
Open Access | Times Cited: 23
Showing 23 citing articles:
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: 29
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 29
Enhancing Flooding Depth Forecasting Accuracy in an Urban Area Using a Novel Trend Forecasting Method
Song-Yue Yang, You-Da Jhong, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1359-1380
Closed Access | Times Cited: 11
Song-Yue Yang, You-Da Jhong, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1359-1380
Closed Access | Times Cited: 11
Integrating artificial intelligence and machine learning in hydrological modeling for sustainable resource management
Stephanie Marshall, Thanh‐Nhan‐Duc Tran, Mahesh R. Tapas, et al.
International Journal of River Basin Management (2025), pp. 1-17
Closed Access | Times Cited: 1
Stephanie Marshall, Thanh‐Nhan‐Duc Tran, Mahesh R. Tapas, et al.
International Journal of River Basin Management (2025), pp. 1-17
Closed Access | Times Cited: 1
An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers
Zahra Jamshidzadeh, Sarmad Dashti Latif, Mohammad Ehteram, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Zahra Jamshidzadeh, Sarmad Dashti Latif, Mohammad Ehteram, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Floodplain Lake Water Level Prediction with Strong River-Lake Interaction Using the Ensemble Learning LightGBM
Min Gan, Xijun Lai, Yan Guo, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5305-5321
Closed Access | Times Cited: 6
Min Gan, Xijun Lai, Yan Guo, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5305-5321
Closed Access | Times Cited: 6
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Environmental Modelling & Software (2023) Vol. 168, pp. 105788-105788
Closed Access | Times Cited: 15
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Environmental Modelling & Software (2023) Vol. 168, pp. 105788-105788
Closed Access | Times Cited: 15
Modeling of CO2 solubility in piperazine (PZ) and diethanolamine (DEA) solution via machine learning approach and response surface methodology
Zohreh Khoshraftar, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100457-100457
Open Access | Times Cited: 15
Zohreh Khoshraftar, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100457-100457
Open Access | Times Cited: 15
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
Majid Bagheri, Nakisa Farshforoush, Karim Bagheri, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 10-22
Open Access | Times Cited: 15
Majid Bagheri, Nakisa Farshforoush, Karim Bagheri, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 10-22
Open Access | Times Cited: 15
A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges
Md. Moniruzzaman Monir, Subaran Chandra Sarker, Abu Reza Md. Towfiqul Islam
HydroResearch (2024) Vol. 7, pp. 285-300
Open Access | Times Cited: 5
Md. Moniruzzaman Monir, Subaran Chandra Sarker, Abu Reza Md. Towfiqul Islam
HydroResearch (2024) Vol. 7, pp. 285-300
Open Access | Times Cited: 5
Analysis of Flooding Under Extreme Conditions with Factors Interactions Using Hybrid Machine Learning
Yanfen Geng, Xinyu Hu, Xiao Huang, et al.
Water Resources Management (2025)
Closed Access
Yanfen Geng, Xinyu Hu, Xiao Huang, et al.
Water Resources Management (2025)
Closed Access
Comprehensive Hydrogeological Analysis of the Beni Amir Deposit in the Oulad Abdoun Phosphate Basin, Morocco
Ouissal Heddoun, Anasse Ait Lemkademe, Mostafa Benzaazoua
Mine Water and the Environment (2025)
Closed Access
Ouissal Heddoun, Anasse Ait Lemkademe, Mostafa Benzaazoua
Mine Water and the Environment (2025)
Closed Access
Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods
Amirhossein Najafabadipour, Fereshteh Hassanzadeh, Meghdad Kordestani
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 4
Closed Access
Amirhossein Najafabadipour, Fereshteh Hassanzadeh, Meghdad Kordestani
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 4
Closed Access
Artificial Intelligence in Hydrology: Advancements in Soil, Water Resource Management, and Sustainable Development
Seyed Mostafa Biazar, Golmar Golmohammadi, Rohit R. Nedhunuri, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2250-2250
Open Access
Seyed Mostafa Biazar, Golmar Golmohammadi, Rohit R. Nedhunuri, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2250-2250
Open Access
Qanat Discharge Prediction Using a Comparative Analysis of Machine Learning Methods
Saeideh Samani, Meysam Vadiati, Özgür Kişi, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Saeideh Samani, Meysam Vadiati, Özgür Kişi, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Monthly Runoff forecasting using A Climate‑driven Model Based on Two-stage Decomposition and Optimized Support Vector Regression
Zhuo Jia, Yuhao Peng, Qin Li, et al.
Water Resources Management (2024) Vol. 38, Iss. 14, pp. 5701-5722
Closed Access | Times Cited: 2
Zhuo Jia, Yuhao Peng, Qin Li, et al.
Water Resources Management (2024) Vol. 38, Iss. 14, pp. 5701-5722
Closed Access | Times Cited: 2
Groundwater Level Prediction Using Machine Learning and Geostatistical Interpolation Models
Fabian J. Zowam, A. Milewski
Water (2024) Vol. 16, Iss. 19, pp. 2771-2771
Open Access | Times Cited: 2
Fabian J. Zowam, A. Milewski
Water (2024) Vol. 16, Iss. 19, pp. 2771-2771
Open Access | Times Cited: 2
Hyperparameter Sensitivity Analysis of Deep Learning-Based Pipe Burst Detection Model for Multiregional Water Supply Networks
Hyoung-Suk Kim, Dooyong Choi, Do-Guen Yoo, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 13788-13788
Open Access | Times Cited: 7
Hyoung-Suk Kim, Dooyong Choi, Do-Guen Yoo, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 13788-13788
Open Access | Times Cited: 7
A Web-Based Model to Predict a Neurological Disorder Using ANN
Abdulwahab Ali Almazroi, Hitham Alamin, R. Sujatha, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1474-1474
Open Access | Times Cited: 3
Abdulwahab Ali Almazroi, Hitham Alamin, R. Sujatha, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1474-1474
Open Access | Times Cited: 3
Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia
Pragnaditya Malakar, Soumendra N. Bhanja, Adya Aiswarya Dash, et al.
ACS ES&T Water (2022) Vol. 3, Iss. 6, pp. 1547-1560
Open Access | Times Cited: 3
Pragnaditya Malakar, Soumendra N. Bhanja, Adya Aiswarya Dash, et al.
ACS ES&T Water (2022) Vol. 3, Iss. 6, pp. 1547-1560
Open Access | Times Cited: 3
Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1501-1522
Open Access
Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1501-1522
Open Access
A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso
Abdoul Aziz Bonkoungou, Souleymane Zio, Rodrique Kafando, et al.
IFIP advances in information and communication technology (2024), pp. 3-16
Closed Access
Abdoul Aziz Bonkoungou, Souleymane Zio, Rodrique Kafando, et al.
IFIP advances in information and communication technology (2024), pp. 3-16
Closed Access
Qanat discharge prediction using a comparative analysis of machine learning methods
Saeideh Samani, Meysam Vadiati, Özgür Kişi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4597-4618
Open Access
Saeideh Samani, Meysam Vadiati, Özgür Kişi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4597-4618
Open Access
Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
