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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:

Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends
Shubo Zhang, Ying Jin, Wenkang Chen, et al.
Chemosphere (2023) Vol. 336, pp. 139163-139163
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach
Iman Salahshoori, Marcos A.L. Nobre, Amirhosein Yazdanbakhsh, et al.
Journal of Molecular Liquids (2024) Vol. 410, pp. 125592-125592
Open Access | Times Cited: 15
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: 14
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: 1
Recent developments in (photo)electrocatalytic materials for wastewater treatment and resource recovery
Hugo Olvera‐Vargas, Marta Pazos, Erika Bustos, et al.
Applied Catalysis O Open (2025), pp. 207033-207033
Open Access | Times Cited: 1
Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects
Xingyang Li, Jiming Su, Hui Wang, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 4, pp. 113152-113152
Closed Access | Times Cited: 13
Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review
Voravich Ganthavee, Antoine P. Trzcinski
Environmental Chemistry Letters (2024) Vol. 22, Iss. 5, pp. 2293-2318
Open Access | Times Cited: 9
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: 8
Compensatory measures to reduce GHGs in wastewater treatment plants in Southern Italy
Ezio Ranieri, Gianfranco D’Onghia, Francesca Ranieri, et al.
Journal of Water Process Engineering (2024) Vol. 60, pp. 105128-105128
Open Access | Times Cited: 7
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: 7
Modelling and optimization of membrane process for removal of biologics (pathogens) from water and wastewater: Current perspectives and challenges
Olawumi Oluwafolakemi Sadare, Doris Oke, Oluwagbenga Abiola Olawuni, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29864-e29864
Open Access | Times Cited: 5
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: 5
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
Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review
Wenjing Yang, Haiyan Li
ACS ES&T Water (2025)
Closed Access
Synergistic Potential of Microbial Communities and Artificial Intelligence in Strengthening Sustainable Wastewater Treatment Solutions
Anshika Gupta, Akriti Verma, Kalpana Katiyar
Environmental science and engineering (2025), pp. 225-249
Closed Access
Managing industrial water treatment processes knowledge with knowledge graphs
Nikos Papageorgiou, Dimitra Pournara, Dimitris Apostolou, et al.
Intelligent Decision Technologies (2025)
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
Research trends on phosphorus removal from wastewater: A review and bibliometric analysis from 2000 to 2022
Xingyang Li, Hongyan Nan, Hongru Jiang, et al.
Journal of Water Process Engineering (2023) Vol. 55, pp. 104201-104201
Closed Access | Times Cited: 12
Transition from sulfur autotrophic to mixotrophic denitrification: performance with different carbon sources, microbial community and artificial neural network modeling
Li Zhang, Hong Liu, Yunxia Wang, et al.
Chemosphere (2024), pp. 143432-143432
Closed Access | Times Cited: 4
Prediction of wastewater quality parameters using adaptive and machine learning models: A South African case study
Abdul Gaffar Sheik, Muneer Ahmad Malla, Chandra Sainadh Srungavarapu, et al.
Journal of Water Process Engineering (2024) Vol. 67, pp. 106185-106185
Open Access | Times Cited: 3
Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review
Marina Salim Dantas, Cristiano Christófaro, Sílvia Corrêa Oliveira
Water Science & Technology (2023) Vol. 88, Iss. 6, pp. 1447-1470
Open Access | Times Cited: 9
Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction
B. Senthil Rathi, P. Senthil Kumar, S Sanjay, et al.
International Journal of Environmental Science and Technology (2024)
Closed Access | Times Cited: 2
From biomass waste to bioaerogels - An alternative sustainable approach for wastewater remediation
Priya Arunkumar, Huda M. Alghamdi, V. Kavinkumar, et al.
International Journal of Biological Macromolecules (2024) Vol. 282, pp. 136994-136994
Closed Access | Times Cited: 2
Data driven multiple objective optimization of AAO process towards wastewater effluent biological toxicity reduction
Jie Hu, Ran Yin, Jinfeng Wang, et al.
npj Clean Water (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Machine learning facilitated the conceptual design of an alum dosing system for phosphorus removal in a wastewater treatment plant
Jiasi Sun, Yanran Xu, Haoran Yang, et al.
Chemosphere (2024) Vol. 351, pp. 141154-141154
Closed Access | Times Cited: 1
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