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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 Based on Machine Learning and Comprehensive Weighting Methods
Xianhe Wang, Ying Li, Qian Qiao, et al.
Entropy (2023) Vol. 25, Iss. 8, pp. 1186-1186
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Intelligent Prediction and Continuous Monitoring of Water Quality in Aquaculture: Integration of Machine Learning and Internet of Things for Sustainable Management
Rubén Baena-Navarro, Yulieth Carriazo-Regino, Francisco Torres-Hoyos, et al.
Water (2025) Vol. 17, Iss. 1, pp. 82-82
Open Access | Times Cited: 2
A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods
Ana Dodig, Elisa Ricci, Goran Kvaščev, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1059-1079
Open Access | Times Cited: 8
Toward Design of Internet of Things and Machine Learning-Enabled Frameworks for Analysis and Prediction of Water Quality
Mushtaque Ahmed Rahu, Abdul Fattah Chandio, Khursheed Aurangzeb, et al.
IEEE Access (2023) Vol. 11, pp. 101055-101086
Open Access | Times Cited: 19
Comparison of Water Quality Prediction for Red Tilapia Aquaculture in an Outdoor Recirculation System Using Deep Learning and a Hybrid Model
Roongparit Jongjaraunsuk, Wara Taparhudee, Pimlapat Suwannasing
Water (2024) Vol. 16, Iss. 6, pp. 907-907
Open Access | Times Cited: 6
Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural Irrigation
Mushtaque Ahmed Rahu, Muhammad Mujtaba Shaikh, Sarang Karim, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 6
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
Predicting water quality in municipal water management systems using a hybrid deep learning model
Wenxian Luo, Leijun Huang, Jiabin Shu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108420-108420
Closed Access | Times Cited: 4
A Water Quality Prediction Model Based on Modal Decomposition and Hybrid Deep Learning Models
Shuo Zhao, Ruru Liu, Yahui Liu, et al.
Water (2025) Vol. 17, Iss. 2, pp. 184-184
Open Access
Enhancing Water Potability Identification through Random Forest Regression and Genetic Algorithm Optimization
Michelle Setiyanti, Genrawan Hoendarto, Jimmy Tjen
Engineering headway (2025) Vol. 18, pp. 101-110
Closed Access
Interpretable Ai-Enhanced Reliable River Water Quality Prediction with Multi Remote Sensing Data Sources: Insights from Meteorological & Spatial-Temporal Variables
Salma Imtiaz, Mitra Nasr Azadani, Nasrin Alamdari, et al.
(2025)
Closed 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
A Critical Review of the Modelling Tools for the Reactive Transport of Organic Contaminants
Katarzyna Samborska-Goik, Marta Pogrzeba
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3675-3675
Open Access | Times Cited: 3
Optimizing machine learning for water safety: A comparative analysis with dimensionality reduction and classifier performance in potability prediction
Debashis Chatterjee, Prithwish Ghosh, Amlan Banerjee, et al.
PLOS Water (2024) Vol. 3, Iss. 8, pp. e0000259-e0000259
Open Access | Times Cited: 2
Deep learning for water quality multivariate assessment in inland water across China
Aamir Ali, Guanhua Zhou, Franz Pablo Antezana Lopez, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104078-104078
Open Access | Times Cited: 2
Deep-Learning-Based Water Quality Monitoring and Early Warning Methods: A Case Study of Ammonia Nitrogen Prediction in Rivers
Xianhe Wang, Mu Qiao, Ying Li, et al.
Electronics (2023) Vol. 12, Iss. 22, pp. 4645-4645
Open Access | Times Cited: 6
A multi-model ensemble approach for reservoir dissolved oxygen forecasting based on feature screening and machine learning
Peng Zhang, Xinyang Liu, Huancheng Dai, et al.
Ecological Indicators (2024) Vol. 166, pp. 112413-112413
Open Access | Times Cited: 1
Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Mengjie He, Qin Qian, Xinyu Liu, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3616-3616
Open Access | Times Cited: 1
Data-Driven Models’ Integration for Evaluating Coastal Eutrophication: A Case Study for Cyprus
Ekaterini Hadjisolomou, Maria Rousou, Konstantinos D. Antoniadis, et al.
(2023)
Open Access | Times Cited: 3
Order Properties Concerning Tsallis Residual Entropy
Răzvan-Cornel Sfetcu, Vasile Preda
Mathematics (2024) Vol. 12, Iss. 3, pp. 417-417
Open Access
Predicting Water Potability: Leveraging Machine Learning Techniques
Nabil Laya, Jayashree S. Shetty
(2024), pp. 1-8
Closed Access
A Multi-factor Water Quality Prediction Method Based on Wavelet Transform and LSTM
Mingxia Yang, Lianghuai Tong, Aiping Xia, et al.
(2024), pp. 130-144
Closed Access
Predicting Water Purity by Riding the Ensemble Waves with Gradient Boosting Classification Technique
Ruchika Bhuria, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
(2024), pp. 1365-1368
Closed Access
Predicting Water Quality using Machine Learning Techniques
J. Lavanya, N. Sivakumar
(2024) Vol. 04, pp. 554-560
Closed Access
Comparative analysis of machine learning techniques for detecting potability of water
Vahid Sinap
Journal of Scientific Reports-A (2024), Iss. 058, pp. 135-161
Closed Access
Occurrence and distribution of antibiotic resistance genes in Rivers entering the sea from the South bank of Laizhou Bay, China
Xinhua Fu, Dongxia Li, Fujun Peng
Journal of Environmental Science and Health Part A (2024) Vol. 59, Iss. 8, pp. 420-427
Closed Access
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