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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:

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

Showing 14 citing articles:

Tracking changes in chlorophyll-a concentration and turbidity in Nansi Lake using Sentinel-2 imagery: A novel machine learning approach
Jiawei Zhang, Fei Meng, Pingjie Fu, et al.
Ecological Informatics (2024) Vol. 81, pp. 102597-102597
Open Access | Times Cited: 11
Explainable machine learning-based fractional vegetation cover inversion and performance optimization – A case study of an alpine grassland on the Qinghai-Tibet Plateau
Xinhong Li, Jianjun Chen, Zizhen Chen, et al.
Ecological Informatics (2024) Vol. 82, pp. 102768-102768
Open 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
Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP)
Khaled Merabet, Fabio Di Nunno, Francesco Granata, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Water potability classification based on hybrid stacked model and feature selection
Ahmed M. Elshewey, Rasha Y. Youssef, Hazem M. El‐Bakry, et al.
Environmental Science and Pollution Research (2025)
Closed Access
A long-term multivariate time series prediction model for dissolved oxygen
Jingzhe Hu, Peixuan Wang, Dashe Li, et al.
Ecological Informatics (2024) Vol. 82, pp. 102695-102695
Open Access | Times Cited: 3
En-WBF: A Novel Ensemble Learning Approach to Wastewater Quality Prediction Based on Weighted BoostForest
Bojun Su, Wen Zhang, Rui Li, et al.
Water (2024) Vol. 16, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 1
Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal
Chiranjit Singha, Ishita Bhattacharjee, Satiprasad Sahoo, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122721-122721
Closed Access | Times Cited: 1
Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China
Hongran Li, Hui Zhao, Chao Wei, et al.
Ecological Informatics (2024) Vol. 84, pp. 102854-102854
Open Access | Times Cited: 1
Performance of Machine Learning, Artificial Neural Network (ANN), and Stacked Ensemble Models in Predicting Water Quality Index (WQI) from Surface Water Quality Parameters, Climatic and Land Use Data
Nagalapalli Satish, Jagadeesh Anmala, Murari R. R. Varma, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 1
Optimizing neural network models for predicting nuclear reactor channel temperature: A study on hyperparameter tuning and performance analysis
Sinem Uzun, Eyyüp Yıldız, Hatice Arslantaş
Nuclear Engineering and Design (2024) Vol. 429, pp. 113636-113636
Closed Access | Times Cited: 1
Time series-based machine learning for forecasting multivariate water quality in full-scale drinking water treatment with various reagent dosages
Hongjiao Pang, Yawen Ben, Yong Cao, et al.
Water Research (2024) Vol. 268, pp. 122777-122777
Closed Access | Times Cited: 1
A Weighted Likelihood Ensemble Approach for Failure Prediction of Water Pipes
Ramiz Beig Zali, Milad Latifi, Akbar A. Javadi, et al.
Journal of Water Resources Planning and Management (2024) Vol. 151, Iss. 2
Closed Access | Times Cited: 1
STACKING ENSEMBLE-BASED PREDICTIVE SYSTEM FOR CROP RECOMMENDATION
Gilbert I.O. Aimufua, Morufu Olalere, Muhammad Umar Abdullahi, et al.
FUDMA Journal of Sciences (2024) Vol. 8, Iss. 6, pp. 72-83
Closed Access
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