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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:

Machine learning classification algorithms for inadequate wastewater treatment risk mitigation
Ahmed Elsayed, Ahmad Siam, Wael El‐Dakhakhni
Process Safety and Environmental Protection (2022) Vol. 159, pp. 1224-1235
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Calculation of carbon emissions in wastewater treatment and its neutralization measures: A review
Zhixin Liu, Ziyi Xu, Xiaolei Zhu, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169356-169356
Closed Access | Times Cited: 75
Use, Potential, Needs, and Limits of AI in Wastewater Treatment Applications
Andrea G. Capodaglio, Arianna Callegari
Water (2025) Vol. 17, Iss. 2, pp. 170-170
Open Access | Times Cited: 2
Optimization of Effluents Using Artificial Neural Network and Support Vector Regression in Detergent Industrial Wastewater Treatment
Dipak Kumar Jana, Prajna Bhunia, Sirsendu Das Adhikary, et al.
Cleaner Chemical Engineering (2022) Vol. 3, pp. 100039-100039
Open Access | Times Cited: 45
Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants
Ahmed Elsayed, Maysara Ghaith, Ahmed Yosri, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120510-120510
Open Access | Times Cited: 10
Machine learning methods for anomaly classification in wastewater treatment plants
Francesca Bellamoli, Mattia Di Iorio, Marco Vian, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118594-118594
Open Access | Times Cited: 22
Application of classification machine learning algorithms for characterizing nutrient transport in a clay plain agricultural watershed
Ahmed Elsayed, Sarah Rixon, Jana Levison, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118924-118924
Closed Access | Times Cited: 13
Machine learning framework for wastewater circular economy — Towards smarter nutrient recoveries
Allan Soo, Li Gao, Ho Kyong Shon
Desalination (2024) Vol. 592, pp. 118092-118092
Open Access | Times Cited: 5
Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed
Ahmed Elsayed, Sarah Rixon, Jana Levison, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123305-123305
Open Access | Times Cited: 5
Effluent parameters prediction of a biological nutrient removal (BNR) process using different machine learning methods: A case study
Neslihan Manav Demır, Huseyin Baran Gelgor, Ersoy Öz, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119899-119899
Closed Access | Times Cited: 11
Machine learning-aided biochar design for the adsorptive removal of emerging inorganic pollutants in water
Habib Ullah, Sangar Khan, Xiaoying Zhu, et al.
Separation and Purification Technology (2025), pp. 131421-131421
Closed Access
The role of optimizers in developing data-driven model for predicting lake water quality incorporating advanced water quality model
Md Galal Uddin, Apoorva Bamal, Mir Talas Mahammad Diganta, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 411-435
Closed Access
Regression-based machine learning models for nitrate and chloride prediction in surface water in a small agricultural sand plain sub-watershed in southwestern Ontario, Canada
Ahmed Elsayed, Jana Levison, Andrew Binns, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
A dual approach using response surface methodology and machine learning for optimization and enhancement of microalgae‐based municipal wastewater treatment
Iremsu Kayan, Nilgün Ayman Öz
Journal of Chemical Technology & Biotechnology (2025)
Open Access
Bio-communal wastewater treatment plant real-time modeling using an intelligent meta-heuristic approach: A sustainable and green ecosystem
Sani I. Abba, Huseyin Cagan KILINC, Mou Leong Tan, et al.
Journal of Water Process Engineering (2023) Vol. 53, pp. 103731-103731
Closed Access | Times Cited: 9
Predicting membrane cleaning effectiveness in a full-scale water treatment plant using an artificial neural network model
Ahmed Elsayed, Zhong Li, Kamil Khan, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105932-105932
Open Access | Times Cited: 3
Machine Learning Methods for the Prediction of Wastewater Treatment Efficiency and Anomaly Classification with Lack of Historical Data
Igor Gulshin, Olga Kuzina
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10689-10689
Open Access | Times Cited: 3
Text mining-aided meta-research on nutrient dynamics in surface water and groundwater: Popular topics and perceived gaps
Ahmed Elsayed, Sarah Rixon, Christina Zeuner, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130338-130338
Closed Access | Times Cited: 7
Real-time water quality prediction of wastewater treatment plants using advanced deep learning networks
Wafaa Mohamed Shaban, Dongxi Xie, Khalid Elbaz, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105775-105775
Closed Access | Times Cited: 2
Applications of artificial intelligence for membrane separation: A review
Mehryar Jafari, Christina Tzirtzipi, Bernardo Castro‐Dominguez
Journal of Water Process Engineering (2024) Vol. 68, pp. 106532-106532
Open Access | Times Cited: 2
A Mental Health Management and Cognitive Behavior Analysis Model of College Students Using Multi-View Clustering Analysis Algorithm
Danhui Dong, Xiaoying Shen
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 4
Using unsupervised learning to classify inlet water for more stable design of water reuse in industrial parks
Kan Chen, Xiaofei Shi, Zhihao Zhang, et al.
Water Science & Technology (2024) Vol. 89, Iss. 7, pp. 1757-1770
Open Access
Explainable fault diagnosis method for process flow based on data augmentation with system graph relationship
Jiaquan Liu, Lei Hou, Xinru Zhang, et al.
Geoenergy Science and Engineering (2024) Vol. 243, pp. 213334-213334
Closed Access
Domain adaptation through active learning strategies for anomaly classification in wastewater treatment plants
Francesca Bellamoli, Marco Vian, Mattia Di Iorio, et al.
Water Science & Technology (2024) Vol. 90, Iss. 11, pp. 3123-3138
Open Access
Tratamientos avanzados para la regeneración de aguas residuales
Sonia Guerra Rodríguez
(2023)
Open Access | Times Cited: 1
Optimization of effluents using a neural network in the treatment of industrial wastewater
Myroslav Matviichuk
Artificial Intelligence (2023) Vol. 28, Iss. AI.2023.28(2)), pp. 107-120
Closed Access | Times Cited: 1
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