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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:

Predictive Modeling Approach for Surface Water Quality: Development and Comparison of Machine Learning Models
Muhammad Izhar Shah, Wesam Salah Alaloul, Abdulaziz Alqahtani, et al.
Sustainability (2021) Vol. 13, Iss. 14, pp. 7515-7515
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms
Johnbosco C. Egbueri, Johnson C. Agbasi
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 25, pp. 38346-38373
Closed Access | Times Cited: 99
A sophisticated model for rating water quality
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
The Science of The Total Environment (2023) Vol. 868, pp. 161614-161614
Open Access | Times Cited: 73
Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics
Johnbosco C. Egbueri, Johnson C. Agbasi, Daniel A. Ayejoto, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 71
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 69
Predicting quality parameters of wastewater treatment plants using artificial intelligence techniques
Ehsan Aghdam, Saeed Reza Mohandes, Patrick Manu, et al.
Journal of Cleaner Production (2023) Vol. 405, pp. 137019-137019
Open Access | Times Cited: 58
Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality
Abdulaziz Alqahtani, Muhammad Izhar Shah, Ali Aldrees, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1183-1183
Open Access | Times Cited: 56
A Study of Assessment and Prediction of Water Quality Index Using Fuzzy Logic and ANN Models
Роман Трач, Yuliia Trach, Agnieszka Kiersnowska, et al.
Sustainability (2022) Vol. 14, Iss. 9, pp. 5656-5656
Open Access | Times Cited: 43
Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications
Dani Irwan, Maisarah Ali, Ali Najah Ahmed, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4633-4652
Closed Access | Times Cited: 43
Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Environmental Research (2023) Vol. 242, pp. 117755-117755
Open Access | Times Cited: 39
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
Dimple Dimple, Pradeep Kumar Singh, Jitendra Rajput, et al.
Ecological Informatics (2023) Vol. 75, pp. 102093-102093
Closed Access | Times Cited: 34
Artificial Intelligence in Climate-Resilient Water Management: A Systematic Review of Applications, Challenges, and Future Directions
Layth Abdulameer, Mahmoud Saleh Al-Khafaji, Aysar Tuama Al-Awadi, et al.
Water Conservation Science and Engineering (2025) Vol. 10, Iss. 1
Closed Access | Times Cited: 1
Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment
Dimple Dimple, Jitendra Rajput, Nadhir Al‐Ansari, et al.
Journal of Chemistry (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 30
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
Basanti Pal Nandi, Gunjan Singh, Aakash Kumar Jain, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 1, pp. 1021-1036
Open Access | Times Cited: 15
Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models
Özgür Kişi, Kulwinder Singh Parmar, Amin Mahdavi‐Meymand, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1095-1095
Open Access | Times Cited: 14
Prediction of Microstructure and Mechanical Properties of Atmospheric Plasma-Sprayed 8YSZ Thermal Barrier Coatings Using Hybrid Machine Learning Approaches
Zhu Han, Dongpeng Li, Min Yang, et al.
Coatings (2023) Vol. 13, Iss. 3, pp. 602-602
Open Access | Times Cited: 11
ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool
Dario Di Santo, Cenlin He, Fei Chen, et al.
Geoscientific model development (2025) Vol. 18, Iss. 2, pp. 433-459
Open Access
The application of Simulated Annealing Algorithm, Firefly Algorithm, Invasive Weed Optimization, and Shuffled Frog Leaping Algorithm for prediction of Water Quality Index
Feridon Ghadimi, Saeed Zolfaghari Moghaddam
Research Square (Research Square) (2025)
Closed Access
Optimising Water Use Through Smart Models and Artificial Intelligence
Jaime Ortiz, Víctor Manuel Zamudio-García
IGI Global eBooks (2025), pp. 165-196
Closed Access
Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments
Sanaz Khalifani, Reza Darvishzadeh, Majid Montaseri, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0319331-e0319331
Open Access
Machine learning and artificial intelligence application in automotive water quality monitoring, analysis, and management
Arvind Kumar, Abdul Gaffar Sheik, Faizal Bux, et al.
Elsevier eBooks (2025), pp. 89-109
Closed Access
Regression-based machine learning models for nitrate and chloride prediction in surface water in a small agricultural sand plain sub-watershed in southwestern Ontario, Canada
Ahmed Elsayed, Jana Levison, Andrew Binns, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Temporal evaluation of seawater intrusion vulnerability in Shabestar Plain using GALDIT and AI techniques
Vahid Nourani, Elnaz Bayat Khajeh, Nardin Jabbarian Paknezhad, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Support vector regression and ANN approach for predicting the ground water quality
Maha Abdallah Alnuwaiser, Muhammad Faisal Javed, M. Ijaz Khan, et al.
Journal of the Indian Chemical Society (2022) Vol. 99, Iss. 7, pp. 100538-100538
Closed Access | Times Cited: 13
Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete
Muhammad Nasir Amin, Kaffayatullah Khan, Fahid Aslam, et al.
Materials (2021) Vol. 14, Iss. 19, pp. 5659-5659
Open Access | Times Cited: 18
The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction
Athira Rajeev, Rehan Shah, Parin Shah, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
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