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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 Index Estimations Using Machine Learning Algorithms: A Case Study of Yazd-Ardakan Plain, Iran
Mohammad Reza Goodarzi, Amir Reza R. Niknam, Ali Barzkar, et al.
Water (2023) Vol. 15, Iss. 10, pp. 1876-1876
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Md Moniruzzaman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102514-102514
Open Access | Times Cited: 32
Assessment of Drinking Water Quality and Identifying Pollution Sources in a Chromite Mining Region
Amin Mohammadpour, Ehsan Gharehchahi, Majid Amiri Gharaghani, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 136050-136050
Open Access | Times Cited: 20
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
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
Predicting river water quality: An imposing engagement between machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)
Jamal Sarafaraz, Fariborz Ahmadzadeh Kaleybar, Javad Mahmoudi Karamjavan, et al.
Results in Engineering (2024) Vol. 21, pp. 101921-101921
Open Access | Times Cited: 14
A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River
Adil Masood, Majid Niazkar, Mohammad Zakwan, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3543-3543
Open Access | Times Cited: 19
Comparing ARIMA and various deep learning models for long-term water quality index forecasting in Dez River, Iran
Amir Reza R. Niknam, Maryam Sabaghzadeh, Ali Barzkar, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 6
A machine learning approach for predicting and localizing the failure and damage point in sewer networks due to pipe properties
Mohammad Reza Goodarzi, Majid Vazirian
Journal of Water and Health (2024) Vol. 22, Iss. 3, pp. 487-509
Open Access | Times Cited: 5
Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern Ghana
Joseph Nzotiyine Apogba, Geophrey K. Anornu, Arthur B. Koon, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28527-e28527
Open Access | Times Cited: 5
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
Evaluation of optimal dam release to achieve agricultural economic-ecological development from stakeholders' perspectives in the Karkheh basin, Iran
Javad Zahiri, Abbas Mirzaei
Journal of Hydrology Regional Studies (2025) Vol. 57, pp. 102181-102181
Closed Access
Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia
Christian M Moreno-Rocha, José Ricardo Núñez Álvarez, Juan Rivera-Alvarado, et al.
MethodsX (2025) Vol. 14, pp. 103248-103248
Open Access
Machine Learning Approaches for Assessing Groundwater Quality and Its Implications for Water Conservation in the Sub-tropical Capital Region of India
Nand Lal Kushwaha, Madhumita Sahoo, Nilesh Biwalkar
Water Conservation Science and Engineering (2025) Vol. 10, Iss. 1
Closed Access
Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale
Rachid Mohamed Mouhoumed, Ömer Ekmekcioğlu, Eyyup Ensar Başakın, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2534-2534
Open Access | Times Cited: 11
Bootstrap approach for quantifying the uncertainty in modeling of the water quality index using principal component analysis and artificial intelligence
Chawisa Chawishborwornworng, Santamon Luanwuthi, Chakkrit Umpuch, et al.
Journal of the Saudi Society of Agricultural Sciences (2023) Vol. 23, Iss. 1, pp. 17-33
Open Access | Times Cited: 11
Assessment of machine learning models for short-term streamflow estimation: the case of Dez River in Iran
Mohammad Reza Goodarzi, Majid Niazkar, Ali Barzkar, et al.
Sustainable Water Resources Management (2024) Vol. 10, Iss. 1
Closed Access | Times Cited: 3
Drinking Water Quality Assessment Using a Fuzzy Inference System Method: A Case Study of Rome (Italy)
Yas Barzegar, Irina Gorelova, Francesco Bellini, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 15, pp. 6522-6522
Open Access | Times Cited: 8
Machine Learning-Based Multifaceted Analysis Framework for Comparing and Selecting Water Quality Indices
Dana Simian, Marin-Eusebiu Șerban, Alina Bărbulescu
Water Resources Management (2024) Vol. 39, Iss. 2, pp. 847-863
Open Access | Times Cited: 2
An innovative approach for quality assessment and its contamination on surface water for drinking purpose in Mahanadi River Basin, Odisha of India, with the integration of BA-WQI, AHP-TOPSIS, FL-DWQI, MOORA, and RF methodology
Abhijeet Das
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 2
Deep learning-based water quality index classification using stacked ensemble variational mode decomposition
V Karpagam, S. Christy, Michael Onyema Edeh
Environmental Research Communications (2024) Vol. 6, Iss. 6, pp. 065005-065005
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
Predicting hydrological droughts using ERA 5 reanalysis data and wavelet-based soft computing techniques
Okan Mert Katipoğlu
Environmental Earth Sciences (2023) Vol. 82, Iss. 24
Closed Access | Times Cited: 2
Chaos-Enhanced Bat Algorithm for Optimizing Hyper Parameters in Water Quality Classification
S. Janani, S. Vydehi
(2023), pp. 743-750
Closed Access | Times Cited: 2
Using Artificial Intelligence Techniques in Water Quality Analysis and Prediction: Towards Sustainability
Asmaa S. Abdo, Ashraf Darwish, Aboul Ella Hassanein
Studies in systems, decision and control (2024), pp. 37-49
Closed Access
Surface water quality changes due to disposal of treated sewage in Wupa river, Abuja, Nigeria
Amina Ibrahim Inkani, Sani Abubakar Mashi, Elizabeth Dorsuu Jenkwe, et al.
Research Square (Research Square) (2024)
Closed Access
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