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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:

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: 9

Showing 9 citing articles:

Learning a neural network-based soft sensor with double-errors parallel optimization towards effluent variable prediction in wastewater treatment plants
Dong Li, Chunhua Yang, Yonggang Li, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121907-121907
Closed Access | Times Cited: 5
A GRAPHICAL USER INTERFACE DESIGN FOR FORECASTING NUTRIENT CONCENTRATIONS IN WWTP
Eda Göz
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 479-486
Open Access
Data-driven models for phosphorus forecasting in wastewater treatment plants: A tool to enhance operation
Florencia Caro, Claudia Santiviago, Jimena Ferreira, et al.
Journal of environmental chemical engineering (2025), pp. 116259-116259
Closed Access
A probabilistic deep learning approach to enhance the prediction of wastewater treatment plant effluent quality under shocking load events
Hailong Yin, Yongqi Chen, Jinglin Zhou, et al.
Water Research X (2024) Vol. 26, pp. 100291-100291
Open Access | Times Cited: 2
Multimedia Nitrogen and Phosphorus Migration and Source Control Using Multivariate Analysis and XGBoost: The Case Study in a Typical Agricultural Basin, Danjiangkou Reservoir
Y Y Chen, Teng Ma, Liuzhu Chen, et al.
Water (2024) Vol. 16, Iss. 14, pp. 1936-1936
Open Access | Times Cited: 1
Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification
Shiqi Liu, Zeqing Long, Jinsong Liang, et al.
Bioresource Technology (2024) Vol. 416, pp. 131787-131787
Closed Access | Times Cited: 1
Machine Learning-Driven Advances in Metal-Organic Framework Nanomaterials for Wastewater Treatment: Developments and Challenges
V. Godvin Sharmila, M. Dinesh Kumar, K. Tamilarasan
Separation and Purification Reviews (2024), pp. 1-21
Closed Access | Times Cited: 1
Series-connected data-based model to estimate effluent chemical oxygen demand in industrial wastewater treatment process
Jani Tomperi, Aki Sorsa, Jari Ruuska, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123680-123680
Open Access
Stacking: An ensemble learning approach to predict student performance in PISA 2022
Ersoy Öz, Okan Bulut, Zuhal Fatma Cellat, et al.
Education and Information Technologies (2024)
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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