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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:

Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study
David J. Kovacs, Zhong Li, Brian W. Baetz, et al.
Journal of Membrane Science (2022) Vol. 660, pp. 120817-120817
Closed Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Wastewater mining: a new frontier for artificial intelligence in mining
Hoda Khoshvaght, Mehdi Khiadani
Elsevier eBooks (2025), pp. 249-307
Closed Access
Towards Next-Generation Membrane Bioreactors: Innovations, Challenges, and Future Directions
K. Khoiruddin, Raj Boopathy, Sibudjing Kawi, et al.
Current Pollution Reports (2025) Vol. 11, Iss. 1
Closed Access
Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach
Qing Wei, Zuxin Xu, Hailong Yin
Bioresource Technology (2025), pp. 132393-132393
Closed Access
Enhancing process monitoring and control in novel carbon capture and utilization biotechnology through artificial intelligence modeling: An advanced approach toward sustainable and carbon-neutral wastewater treatment
Stefano Cairone, Giuseppina Oliva, Fabiana Romano, et al.
Chemosphere (2025) Vol. 376, pp. 144299-144299
Closed Access
Machine learning algorithms for predicting membrane bioreactors performance: A review
Marina Muniz de Queiroz, Victor Rezende Moreira, Míriam Cristina Santos Amaral, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 124978-124978
Closed Access
A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes
Peng Yu, Erchao Li
Complex & Intelligent Systems (2025) Vol. 11, Iss. 5
Open Access
Data Driven Modeling and Design of Cellulose Acetate-Polysulfone Blend Ultrafiltration Membranes Based on Artificial Neural Networks
Elif Gungormus
Journal of environmental chemical engineering (2025), pp. 116337-116337
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
Advances in the Removal of Cr(III) from Spent Industrial Effluents—A Review
Katarzyna Staszak, Izabela Kruszelnicka, Dobrochna Ginter-Kramarczyk, et al.
Materials (2022) Vol. 16, Iss. 1, pp. 378-378
Open Access | Times Cited: 21
Water quality prediction of MBR based on machine learning: A novel dataset contribution analysis method
Hui Zhong, Ye Yuan, Ling Luo, et al.
Journal of Water Process Engineering (2022) Vol. 50, pp. 103296-103296
Closed Access | Times Cited: 19
Deep Study on Fouling Modelling of Ultrafiltration Membranes Used for OMW Treatment: Comparison Between Semi-empirical Models, Response Surface, and Artificial Neural Networks
Magdalena Cifuentes-Cabezas, José Luis Bohórquez-Zurita, Sandra Gil-Herrero, et al.
Food and Bioprocess Technology (2023) Vol. 16, Iss. 10, pp. 2126-2146
Open Access | Times Cited: 12
A comparative study between three of the physical antifouling techniques for oily wastewater filtration using ceramic membranes: Namely; the novel periodic transmembrane pressure technique, pulsatile flow, and backflushing
Mohamed Echakouri, Amgad Salama, Amr Henni
Journal of Water Process Engineering (2023) Vol. 54, pp. 103921-103921
Closed Access | Times Cited: 12
Predictive modeling based on artificial neural networks for membrane fouling in a large pilot-scale anaerobic membrane bioreactor for treating real municipal wastewater
Tianjie Wang, Yu‐You Li
The Science of The Total Environment (2023) Vol. 912, pp. 169164-169164
Closed Access | Times Cited: 12
The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes: A systematic review
Shuai Yuan, Hussein Ajam, Zainab Ali Bu Sinnah, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 260, pp. 115066-115066
Open Access | Times Cited: 10
Miss-gradient boosting regression tree: a novel approach to imputing water treatment data
Wen Zhang, Rui Li, Jiangpeng Zhao, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22917-22937
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
Enhancing membrane fouling control in wastewater treatment processes through artificial intelligence modeling: research progress and future perspectives
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
Euro-Mediterranean Journal for Environmental Integration (2024)
Open Access | Times Cited: 3
Application of machine learning at wastewater treatment facilities: a review of the science, challenges and barriers by level of implementation
Sanaz Imen, Henry C. Croll, Nicole L. McLellan, et al.
Environmental Technology Reviews (2023) Vol. 12, Iss. 1, pp. 493-516
Closed Access | Times Cited: 7
Mechanistic insights of nanoplastic-rich water treatment using multi-layer Ti3C2Tx electro-membrane filtration and performance prediction
Mariam Ouda, Ravi P. Pandey, Eman Ouda, et al.
Chemical Engineering Journal (2024) Vol. 494, pp. 152951-152951
Open Access | Times Cited: 2
Digitalization for sustainable wastewater treatment: a way forward for promoting the UN SDG#6 ‘clean water and sanitation’ towards carbon neutrality goals
Tonni Agustiono Kurniawan, Ayesha Mohyuddin, Joan Cecilia C. Casila, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
A novel approach for multivariate time series interval prediction of water quality at wastewater treatment plants
Siyu Liu, Zhaocai Wang, Yanyu Li
Water Science & Technology (2024) Vol. 90, Iss. 10, pp. 2813-2841
Open 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
Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network
Lam Van Nguyen, Dieu Tien Bui, Razak Seidu
IEEE Access (2022) Vol. 10, pp. 124238-124258
Open Access | Times Cited: 9
Understanding Single-Protein Fouling in Micro- and Ultrafiltration Systems via Machine-Learning-Based Models
Henry J. Tanudjaja, Angie Qi Qi Ng, Jia Wei Chew
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 19, pp. 7610-7621
Closed Access | Times Cited: 5
Online machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies
Pengxiao Zhou, Zhong Li, Yimei Zhang, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 17, Iss. 12
Closed Access | Times Cited: 5

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