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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:

An Optimized Approach for Predicting Water Quality Features Based on Machine Learning
Nur Afyfah Suwadi, Morched Derbali, Nor Samsiah Sani, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Performance analysis of the water quality index model for predicting water state using machine learning techniques
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Process Safety and Environmental Protection (2022) Vol. 169, pp. 808-828
Open Access | Times Cited: 157
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
Bui Quoc Lap, Thi-Thu-Hong Phan, Huu Du Nguyen, et al.
Ecological Informatics (2023) Vol. 74, pp. 101991-101991
Closed Access | Times Cited: 85
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
Enhancing hydrological data completeness: A performance evaluation of various machine learning techniques using probabilistic fusion imputer with neural networks for streamflow data reconstruction
G.R. Arathy Nair, S. Adarsh, Ahmed El‐Shafie, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131583-131583
Closed Access | Times Cited: 6
A Hybrid Cracked Tiers Detection System Based on Adaptive Correlation Features Selection and Deep Belief Neural Networks
Ali Mohsin Al-juboori, Ali Hakem Alsaeedi, Riyadh Rahef Nuiaa, et al.
Symmetry (2023) Vol. 15, Iss. 2, pp. 358-358
Open Access | Times Cited: 11
A Comprehensive Review of Machine Learning Algorithms and Its Application in Groundwater Quality Prediction
Harsh Pandya, Khushi Jaiswal, Manan Shah
Archives of Computational Methods in Engineering (2024)
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
Prediction of Water Quality Index of Island Counties Under River Length System—A Case Study of Yuhuan City
Cheng Zhang, Lei Wang, Chuan Lin, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 539-539
Open Access
Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review
Deepak L. Bhatt, Mamata Swain, Dhananjay Yadav
Journal of Contaminant Hydrology (2025) Vol. 271, pp. 104541-104541
Closed Access
Fractal feature selection model for enhancing high-dimensional biological problems
Ali Hakem Alsaeedi, Haider Hameed R. Al-Mahmood, Zainab fahad mhawes Al-naseri, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Estimation of water quality parameters based on time series hydrometeorological data in Miaowan Island
Yuanning Zheng, Li Cai, Xianqing Zhang, et al.
Ecological Indicators (2024) Vol. 159, pp. 111693-111693
Open Access | Times Cited: 3
An IoT‐based water contamination analysis for aquaculture using lightweight multi‐headed GRU model
Arepalli Peda Gopi, K. Jairam Naik
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 6
A Review Of Machine Learning And Flask For Water Quality Classification
Nikwade Sagar Ravindra, Pandey Nilesh Munnu, Patil Ganesh Bhagwat, et al.
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 3, pp. 3032-3037
Open Access | Times Cited: 1
AI for clean water: efficient water quality prediction leveraging machine learning
Ahmad Talha Ansari, Natasha Nigar, Hafiz Muhammad Faisal, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 5, pp. 1986-1996
Open Access | Times Cited: 1
Current developments in machine learning models with boosting algorithms for the prediction of water quality
Nguyen Duc Viet, Siyuan Wang, Duy-Phuoc Nguyen, et al.
Elsevier eBooks (2024), pp. 575-591
Closed Access | Times Cited: 1
Emerging technologies for efficient water use in agriculture: A review of current trends and future directions
Uttam Biswas Antu, Md. Saiful Islam, Sujat Ahmed, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106317-106317
Closed Access | Times Cited: 1
A novel predictive analysis approach for forecasting and classifying surface water data using AWQI standards and machine learning-based rule induction
Kaleeswari Chinnakkaruppan, Kuppusamy Krishnamoorthy, Senthilrajan Agniraj
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
A Combined Computer Vision and Convolution Neural Network Approach to Classify Turbid Water Samples in Accordance with National Water Quality Standards
Zahra Nazemi Ashani, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 3, pp. 3503-3516
Closed Access | Times Cited: 3
A Review on Machine Learning Methods for Water Quality Prediction
Vickenzio Leeputra Dharma, Nathanael Kenneth Nurtanio, Fakhru Sidik Nugroho, et al.
(2023), pp. 131-138
Closed Access | Times Cited: 3
Improving Credit Card Fraud Detection with Class Imbalance Resilience and Dynamic Machine Learning Approaches
Vyshnavi Pamidi, Pachipala Yellamma, Balisetty Prasanth, et al.
(2024), pp. 52-58
Closed Access
AO-SVM: a machine learning model for predicting water quality in the cauvery river
J. Vellingiri, K. Kalaivanan, S. Kaliraj, et al.
Environmental Research Communications (2024) Vol. 6, Iss. 7, pp. 075025-075025
Open Access
From Measured pH to Hidden BOD: Quasi Real-Time Estimation of Key Indirect Water Quality Parameters Through Direct Sensor Measurements
Saiful Islam, Yasir Faheem, Arsalan Ahmad, et al.
Lecture notes in networks and systems (2024), pp. 209-223
Closed Access
Machine Learning Approaches for Quality Analysis of Drinking Water
Deepak Kumar Pradhan, Narendra Kumar Kamila, Bunil Kumar Balabantaray, et al.
(2024), pp. 263-274
Closed Access
Water Quality Analysis and Prediction using Machine Learning
K Abirami, P. Radhakrishna, Monisha A Venkatesan
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2023), pp. 241-245
Closed Access | Times Cited: 1
Improving the Water Quality Classification Model for Various Farms Using Features Based on Artificial Neural Network
Sumitra Nuanmeesri, Lap Poomhiran, Preedawon Kadmateekarun, et al.
TEM Journal (2023), pp. 2144-2156
Open Access | Times Cited: 1
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