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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:

Prediction of groundwater quality using efficient machine learning technique
Sudhakar Singha, Srinivas Pasupuleti, Soumya S. Singha, et al.
Chemosphere (2021) Vol. 276, pp. 130265-130265
Closed Access | Times Cited: 238

Showing 1-25 of 238 citing articles:

Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Saber Kouadri, Ahmed Elbeltagi, Abu Reza Md. Towfiqul Islam, et al.
Applied Water Science (2021) Vol. 11, Iss. 12
Open Access | Times Cited: 194
Application of machine learning in groundwater quality modeling - A comprehensive review
Ryan Haggerty, Jianxin Sun, Hongfeng Yu, et al.
Water Research (2023) Vol. 233, pp. 119745-119745
Open Access | Times Cited: 142
Machine learning algorithms for efficient water quality prediction
Mourade Azrour, Jamal Mabrouki, Ghizlane Fattah, et al.
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 2, pp. 2793-2801
Closed Access | Times Cited: 116
Computational Intelligence: An Introduction
Arya Yaghoubzadeh-Bavandpour, Omid Bozorg‐Haddad, Babak Zolghadr‐Asli, et al.
Studies in computational intelligence (2022), pp. 411-427
Closed Access | Times Cited: 113
Using Machine Learning Models for Predicting the Water Quality Index in the La Buong River, Vietnam
Đào Nguyên Khôi, Nguyen Trong Quan, Do Quang Linh, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1552-1552
Open Access | Times Cited: 96
An Integrated Statistical-Machine Learning Approach for Runoff Prediction
Abhinav Kumar Singh, Pankaj Kumar, Rawshan Ali, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 8209-8209
Open Access | Times Cited: 72
Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Majid Niazkar, Andrea Menapace, Bruno Brentan, et al.
Environmental Modelling & Software (2024) Vol. 174, pp. 105971-105971
Closed Access | Times Cited: 57
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Swapan Talukdar, Shahfahad, Shakeel Ahmed, et al.
Journal of Cleaner Production (2023) Vol. 406, pp. 136885-136885
Closed Access | Times Cited: 55
A Comprehensive Review of Conventional, Machine Leaning, and Deep Learning Models for Groundwater Level (GWL) Forecasting
Junaid Khan, Eunkyu Lee, Awatef Salem Balobaid, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2743-2743
Open Access | Times Cited: 50
Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model
Usman Mohseni, Chaitanya B. Pande, Subodh Chandra Pal, et al.
Chemosphere (2024) Vol. 352, pp. 141393-141393
Closed Access | Times Cited: 29
Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches
Md Galal Uddin, Md. Hasan Imran, Abdul Majed Sajib, et al.
Journal of Contaminant Hydrology (2024) Vol. 261, pp. 104307-104307
Open Access | Times Cited: 24
Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review
Johnson C. Agbasi, Johnbosco C. Egbueri
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 21, pp. 30370-30398
Closed Access | Times Cited: 18
Machine learning and GIS based groundwater quality prediction for agricultural practices - A case study form Arjunanadi River basin of South India
Mohan Raj, D. Karunanidhi, N. Subba Rao, et al.
Computers and Electronics in Agriculture (2025) Vol. 229, pp. 109932-109932
Closed Access | Times Cited: 1
Machine learning-supported determination for site-specific natural background values of soil heavy metals
Jian Wu, Chengmin Huang
Journal of Hazardous Materials (2025) Vol. 487, pp. 137276-137276
Closed Access | Times Cited: 1
Machine Learning Prediction of Tritium‐Helium Groundwater Ages in the Central Valley, California, USA
Abdullah Azhar, C. Roca, Ate Visser, et al.
Water Resources Research (2025) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various Parameters
Majid Niazkar, Reza Piraei, Mohammad Reza Goodarzi, et al.
Environmental Processes (2025) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
Integrating experimental-based vulnerability mapping with intelligent identification of multi-aquifer groundwater salinization
Mohamed A. Yassin, Sani I. Abba, A. G. Usman, et al.
Next Sustainability (2025) Vol. 5, pp. 100115-100115
Open Access | Times Cited: 1
Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India
Ahmed Elbeltagi, Chaitanya B. Pande, Saber Kouadri, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 12, pp. 17591-17605
Closed Access | Times Cited: 76
Applications of deep learning in water quality management: A state-of-the-art review
Kok Poh Wai, Min Yan Chia, Chai Hoon Koo, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128332-128332
Closed Access | Times Cited: 64
A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications
Hakan Başağaoğlu, Debaditya Chakraborty, Cesar Do Lago, et al.
Water (2022) Vol. 14, Iss. 8, pp. 1230-1230
Open Access | Times Cited: 55
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia
Mohammad Saood Manzar, Mohammed Benaafi, Romulus Costache, et al.
Ecological Informatics (2022) Vol. 70, pp. 101696-101696
Closed Access | Times Cited: 47
Pre- and post-dam river water temperature alteration prediction using advanced machine learning models
Dinesh Kumar Vishwakarma, Rawshan Ali, Shakeel Ahmad Bhat, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 55, pp. 83321-83346
Open Access | Times Cited: 41
Hydrochemical characteristics, quality and health risk assessment of nitrate enriched coastal groundwater in northern China
Danrui Sheng, Xianhong Meng, Xiaohu Wen, et al.
Journal of Cleaner Production (2023) Vol. 403, pp. 136872-136872
Closed Access | Times Cited: 35
Application of Innovative Machine Learning Techniques for Long-Term Rainfall Prediction
Suman Markuna, Pankaj Kumar, Rawshan Ali, et al.
Pure and Applied Geophysics (2023) Vol. 180, Iss. 1, pp. 335-363
Closed Access | Times Cited: 33
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: 30
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