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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: 85

Showing 1-25 of 85 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: 32
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: 32
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: 14
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
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
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
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: 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
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
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
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
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
An overview of the use of machine learning in the assessment of water quality
Naziya Habeeb, Nidiya Habeeb
AIP conference proceedings (2025) Vol. 3280, pp. 030003-030003
Closed Access
IDENTIFICATION AND GLOBAL INTERPRETATION OF POSSIBLE BIOMARKERS FOR THE DIAGNOSIS OF PANCREATIC CANCER USING EXPLAINABLE ARTIFICIAL INTELLIGENCE METHODS
Şeyma Yaşar
İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi (2025) Vol. 13, Iss. 1, pp. 62-73
Open Access
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
Efficient monkeypox detection using hybrid lightweight CNN architectures and optimized SVM with grid search on imbalanced data
Dilber ÇETİNTAŞ
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Enhancing water quality management through artificial intelligence and machine learning technologies
Aakriti Chauhan, Purnima Mehta, Arun Lal Srivastav
Elsevier eBooks (2025), pp. 69-88
Closed Access
Advancements in water quality monitoring: leveraging machine learning and artificial intelligence for environmental management
Gagandeep Kaur, Pardeep Singh Tiwana, Advait Vihan Kommula
Elsevier eBooks (2025), pp. 11-26
Closed Access
Artificial intelligence and machine learning based water quality monitoring, prediction, and analysis: a comprehensive review
Amandeep Kaur, Sonali Goyal, Neera Batra, et al.
Elsevier eBooks (2025), pp. 1-10
Closed Access
Enhancing water quality management: the role of predictive modeling and IoT in monitoring, analysis, and intervention
Kartavya Mathur, Parbodh Chander Sharma, Nisha Gaur, et al.
Elsevier eBooks (2025), pp. 43-68
Closed Access
Model-based clustering and alignment of water quality curves with prior knowledge integration using hidden Markov random fields
Paul Riverain, Pierre Mandel, Allou Samé, et al.
Expert Systems with Applications (2025), pp. 126958-126958
Closed Access
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