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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:

A Review on Applications of Artificial Intelligence in Wastewater Treatment
Yì Wáng, Yuhan Cheng, He Liu, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13557-13557
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Revolutionizing wastewater treatment toward circular economy and carbon neutrality goals: Pioneering sustainable and efficient solutions for automation and advanced process control with smart and cutting-edge technologies
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105486-105486
Open Access | Times Cited: 16
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
Advanced and prospects in phenol wastewater treatment technologies: unveiling opportunities and trends
Francisco Izaias da Silva Aires, Dayana Nascimento Dari, Isabelly Silveira Freitas, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 14
Integrating artificial intelligence modeling and membrane technologies for advanced wastewater treatment: Research progress and future perspectives
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173999-173999
Open Access | Times Cited: 13
Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges
Brij Mohan Maurya, Nidhi Yadav, T. Amudha, et al.
Chemosphere (2024) Vol. 353, pp. 141474-141474
Closed Access | Times Cited: 12
New advancement of advanced oxidation processes for the treatment of Petroleum wastewater
Ali Imran Merchant, Amir Hossein Vakili, Ayhan Kocaman, et al.
Desalination and Water Treatment (2024) Vol. 319, pp. 100565-100565
Open Access | Times Cited: 10
Reviewing the potential of anaerobic membrane bioreactors in wastewater treatment
Ejike David Ugwuanyi, Zamathula Queen Sikhakhane Nwokediegwu, Michael Ayorinde Dada, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 1830-1842
Open Access | Times Cited: 8
Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
Mudita Nagpal, Miran Ahmad Siddique, Khushi Sharma, et al.
Water Science & Technology (2024) Vol. 90, Iss. 3, pp. 731-757
Closed Access | Times Cited: 8
Artificial intelligence driven advances in wastewater treatment: Evaluating techniques for sustainability and efficacy in global facilities
Dhanyashree Narayanan, Manish Bhat, Norottom Paul, et al.
Desalination and Water Treatment (2024) Vol. 320, pp. 100618-100618
Open Access | Times Cited: 6
Reliable assessment and prediction of moderate preoxidation of sodium hypochlorite for algae-laden water treatment
Zhiwei Zhou, Tianjie Sun, Xing Li, et al.
Water Research (2024) Vol. 266, pp. 122398-122398
Closed Access | Times Cited: 6
Challenges and requirements of AI-based waste water treatment systems
Antoine Dalibard, Lukas Simon Kriem, Marc Beckett, et al.
at - Automatisierungstechnik (2025) Vol. 73, Iss. 1, pp. 40-49
Closed Access
Artificial intelligence techniques applications in the wastewater: A comprehensive review
Yahya Zakur, Fausto Pedro Garcı́a Márquez, Ali Hussein Shuaa Al-taie, et al.
E3S Web of Conferences (2025) Vol. 605, pp. 03006-03006
Open Access
Efficacy of biochar as a catalyst for a Fenton-like reaction: Experimental, statistical and mathematical modeling analysis
Oscar M. Rodríguez-Narváez, Bhuman Pandita, Omesh Goyal, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 107014-107014
Closed Access
Innovations and Efficiency in Wastewater Treatment Using Artificial Intelligence
Jaime Ortiz, Víctor Manuel Zamudio-García
IGI Global eBooks (2025), pp. 233-260
Closed Access
Applications of machine learning and artificial intelligence in automating water quality monitoring, analysis, and management
Mamta, B. Sundaravadivazhagan
Elsevier eBooks (2025), pp. 439-454
Closed Access
Integrating AI, machine learning, and nanotechnology: shaping the future of water quality management
Manish Pant, Jabrinder Singh
Elsevier eBooks (2025), pp. 111-134
Closed Access
Significance of automation in water treatment processes
Vijaya Ilango, Karthiyayini Sridharan
Elsevier eBooks (2025), pp. 175-194
Closed Access
Navigating future wastewater treatment plants with artificial intelligence: Applications, challenges, and innovations
Xingyu Chen, Zhongfang Lei, Jo‐Shu Chang, et al.
Journal of Cleaner Production (2025), pp. 145467-145467
Closed Access
Monitoring and mitigation framework for contaminant spills in a river
Enrique Bonet Gil, María Teresa Yubero, Lluís Sanmiquel Pera, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 3
Closed Access
Phycoremediation of potentially toxic elements for agricultural and industrial wastewater treatment: Recent advances, challenges, and future prospects
Rakesh Kumar, Deepa Kundu, Tapos Kormoker, et al.
Desalination and Water Treatment (2024), pp. 100505-100505
Open Access | Times Cited: 4
Wastewater mining: a new frontier for artificial intelligence in mining
Hoda Khoshvaght, Mehdi Khiadani
Elsevier eBooks (2025), pp. 249-307
Closed Access
Artificial neural networks applied to photo-Fenton process: An innovative approach to wastewater treatment
Davide Palma, Kevin U. Antela, Alessandra Bianco Prevot, et al.
Water Science and Engineering (2025)
Open Access
Optimization and predictive modeling of membrane based produced water treatment using machine learning models
Hasnain Ahmad Saddiqi, Zainab Javed, Qazi Muhammad Ali, et al.
Process Safety and Environmental Protection (2024) Vol. 207, pp. 65-76
Closed 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 medical artificial intelligence technology in sub-Saharan Africa: Prospects for medical laboratories
Richard K. D. Ephraim, Gabriel Pezahso Kotam, Evans Duah, et al.
Smart Health (2024) Vol. 33, pp. 100505-100505
Open Access | Times Cited: 2
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