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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:

Water quality prediction using machine learning models based on grid search method
Mahmoud Y. Shams, Ahmed M. Elshewey, El-Sayed M. El-kenawy, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35307-35334
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Mahmoud Y. Shams, Samah A. Gamel, Fatma M. Talaat
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5695-5714
Open Access | Times Cited: 35
Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Md Moniruzzaman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102514-102514
Open Access | Times Cited: 35
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India
Nagalapalli Satish, Jagadeesh Anmala, K. Rajitha, et al.
Ecological Informatics (2024) Vol. 80, pp. 102500-102500
Open Access | Times Cited: 17
Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms
Khabat Khosravi, Aitazaz A. Farooque, Masoud Karbasi, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 3
Machine learning approaches for improving precipitation forecasting in the Ambica River basin of Navsari District, Gujarat
Divyang Baudhanwala, Darshan Mehta, Vijendra Kumar
Water Practice & Technology (2024) Vol. 19, Iss. 4, pp. 1315-1329
Open Access | Times Cited: 9
Coastal groundwater quality prediction using objective-weighted WQI and machine learning approach
Chinmoy Ranjan Das, Subhasish Das
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 13, pp. 19439-19457
Closed Access | Times Cited: 8
Artificial intelligence-driven prediction models for the cultivation of Chlorella vulgaris FSP-E in food waste culture medium: A comparative analysis and validation of models
Adityas Agung Ramandani, Jun Wei Roy Chong, Sirasit Srinuanpan, et al.
Algal Research (2025), pp. 103935-103935
Closed Access | Times Cited: 1
River Water Quality Monitoring using Machine Learning with Multiple Possible In-Situ Scenarios
Dani Irwan, Saerahany Legori Ibrahim, Sarmad Dashti Latif, et al.
Environmental and Sustainability Indicators (2025), pp. 100620-100620
Open Access | Times Cited: 1
Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction
Van Nhanh Nguyen, Nathan Chung, N. Balaji, et al.
Alexandria Engineering Journal (2025) Vol. 118, pp. 664-680
Closed Access | Times Cited: 1
Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate–N concentrations in the lower stretch of Ganga River, India
Basanta Kumar Das, Soumitra Paul, Biswajit Mandal, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 1
Novel Groundwater Quality Index (GWQI) model: A Reliable Approach for the Assessment of Groundwater
Abdul Majed Sajib, Apoorva Bamal, Mir Talas Mahammad Diganta, et al.
Results in Engineering (2025), pp. 104265-104265
Open Access | Times Cited: 1
Analysis of River Management Method Based on Improved Bidirectional Long Short-Term Memory Network for Water Quality Prediction
Zhongya Wang, Shuang Liu
Water Conservation Science and Engineering (2025) Vol. 10, Iss. 1
Closed Access | Times Cited: 1
Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
Ali Nouh Mabdeh, R. S. Ajin, Seyed Vahid Razavi-Termeh, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2595-2595
Open Access | Times Cited: 7
Deciphering the impact of microenvironmental factors on cuticular hydrocarbon degradation in Lucilia sericata empty Puparia: Bridging ecological and forensic entomological perspectives using machine learning models
Swaima Sharif, Cora Wunder, Jens Amendt, et al.
The Science of The Total Environment (2024) Vol. 913, pp. 169719-169719
Closed Access | Times Cited: 6
Predicting compressive strength of grouted masonry using machine learning models with feature importance analysis
Navaratnarajah Sathiparan
Materials Today Communications (2024), pp. 110487-110487
Closed Access | Times Cited: 6
An Innovative Combination of Extra Trees within AdaBoost for Accurate Prediction of Agricultural Water Quality Indices
Mahmood Yousefi, Vahide Oskoei, H Esmaeli, et al.
Results in Engineering (2024) Vol. 24, pp. 103534-103534
Open Access | Times Cited: 6
Two-stage meta-ensembling machine learning model for enhanced water quality forecasting
Sepideh Heydari, Mohammad Reza Nikoo, Ali Mohammadi, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131767-131767
Closed Access | Times Cited: 5
Orthopedic disease classification based on breadth-first search algorithm
Ahmed M. Elshewey, Ahmed M. Osman
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests
Zohreh Mousavi, Meysam Bayat, Jun Yang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 183, pp. 108805-108805
Closed Access | Times Cited: 4
Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 4
AQuA-P: A machine learning-based tool for water quality assessment
Lorena Díaz‐González, R. A. Aguilar-Rodríguez, Julio César Pérez-Sansalvador, et al.
Journal of Contaminant Hydrology (2025) Vol. 269, pp. 104498-104498
Closed Access
Tracking the Unseen and Unaware: Deciphering Controllers’ Detection Failures to Warnings Through Eye-Tracking Metrics
Zhimin Li, Fan Li, Mengtao Lyu
International Journal of Human-Computer Interaction (2025), pp. 1-20
Closed Access
Integrating principal component analysis, fuzzy inference systems, and advanced neural networks for enhanced estuarine water quality assessment
Richard Okpa Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale
Journal of Hydrology Regional Studies (2025) Vol. 57, pp. 102182-102182
Closed Access
Water Quality Assessment using Ensemble Learning: Comparative Analysis of Stacking Classifiers for Agricultural Suitability
Sherilyn Kevin, Santosh Kumar Singh, Hrushi Bhola, et al.
Research Square (Research Square) (2025)
Closed Access
GA-ML: enhancing the prediction of water electrical conductivity through genetic algorithm-based end-to-end hyperparameter tuning
Muhammed Furkan Gül, Halit Bakır
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
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