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:

Predicting microbial water quality in on-site water reuse systems with online sensors
Eva Reynaert, Philipp Steiner, Qixing Yu, et al.
Water Research (2023) Vol. 240, pp. 120075-120075
Open Access | Times Cited: 11

Showing 11 citing articles:

Integrating recent scientific advances to enhance non-sewered sanitation in urban areas
Linda Strande
Nature Water (2024) Vol. 2, Iss. 5, pp. 405-418
Open Access | Times Cited: 7

Automation of on-site microbial water quality monitoring from source to tap: challenges and perspectives
Jean‐Baptiste Burnet, Katalin Demeter, Philip S. Brenner, et al.
Water Research (2025) Vol. 274, pp. 123121-123121
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

How useful are data-driven methods for building-level greywater treatment from a process engineering perspective?
Siyuan Wang, Mariane Yvonne Schneider, Eveline I.P. Volcke, et al.
Water Research X (2025), pp. 100343-100343
Open Access

Ensuring microbial water quality for on-site water reuse: Importance of online sensors for reliable operation
Eva Reynaert, Deepthi Nagappa, Jürg A. Sigrist, et al.
Water Research X (2024) Vol. 22, pp. 100215-100215
Open Access | Times Cited: 2

Reinforcing Feedbacks for Sustainable Implementation of Rural Drinking-Water Treatment Technology
Merel Laauwen, Saskia Nowicki
ACS ES&T Water (2024) Vol. 4, Iss. 4, pp. 1763-1774
Open Access | Times Cited: 1

Machine Learning Algorithms for Predicting Membrane Bioreactors Performance: A Review
Marina Muniz de Queiroz, Victor Rezende Moreira, Míriam Cristina Santos Amaral, et al.
(2024)
Closed Access

Data-driven soft sensor for monitoring effluent fecal coliform concentration in rural domestic sewage treatment
Jiaqian Yang, Guohua Li, Na Zhong, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106399-106399
Closed Access

Analytical Challenges in the Water Reuse Scenario
Jenny Flores Garcia, Davide Palma, Iván Sciscenko, et al.
Lecture notes in chemistry (2024), pp. 367-391
Closed Access

Prediction of Pseudomonas aeruginosa abundance in drinking water distribution systems using machine learning
Qiao-Mei Zhou, Yukang Li, Min Wang, et al.
Process Safety and Environmental Protection (2024)
Closed Access

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