OpenAlex Citation Counts

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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:

Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices
Musaab A. A. Mohammed, Fuat Kaya, Ahmed Mohamed, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 11

Showing 11 citing articles:

Groundwater quality parameters prediction based on data-driven models
Mohammed Falah Allawi, Yasir Al-Ani, Arkan Dhari Jalal, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 7

Machine Learning-based Model for Groundwater Quality Prediction: A Comprehensive Review and Future Time–Cost Effective Modelling Vision
Farhan ‘Ammar Fardush Sham, Ahmed El‐Shafie, Wan Zurina Binti Jaafar, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access

Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria
Mohammed Achite, Okan Mert Katipoğlu, Nehal Elshaboury, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 8, pp. 8299-8318
Closed Access | Times Cited: 3

Four Optimization Meta-heuristic Approaches in Evaluating Groundwater Quality (Case study: Shiraz Plain)
Hossein Moayedi, Marjan Salari, The-Chuyen Nguyen, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access | Times Cited: 2

Development of machine-learning-based models for identifying the sources of nitrate and fluoride in groundwater and predicting their human health risks
Musaab A. A. Mohammed, Ahmed Mohamed, Norbert Péter Szabó, et al.
International Journal of Energy and Water Resources (2023) Vol. 8, Iss. 2, pp. 161-180
Open Access | Times Cited: 2

Investigation of petrophysical and hydrogeological parameters of the transboundary Nubian Aquifer system using geophysical methods
Musaab A. A. Mohammed, Ahmed Mohamed, Norbert Péter Szabó, et al.
Frontiers in Earth Science (2024) Vol. 11
Open Access

A Comprehensive Approach to Groundwater Quality Prediction and Management in the State of Telangana, India, Using Stacking Ensemble Approach
Chinmayee Senapati, Kumar Janardan Patra, Satyaprakash Swain, et al.
(2024), pp. 118-123
Closed Access

Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology
R. M. Bommi, Pachaivannan Partheeban, R. Rani Hemamalini, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 9848-9848
Open Access

Management of Agricultural Groundwater in Sudan: The Use of Artificial Intelligence Algorithms in Khartoum State
Musaab A. A. Mohammed, Sani I. Abba, Norbert Péter Szabó, et al.
Geosciences and Engineering (2023) Vol. 11, Iss. 1, pp. 39-55
Open Access

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