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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:

Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability
Mostafa Khalil, Ahmed AlSayed, Yang Liu, et al.
Water Research (2023) Vol. 245, pp. 120667-120667
Closed Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

Interpretable machine learning reveals the importance of geography and landscape arrangement for surface water quality across China
Kun Huo, Wangzheng Shen, Junchong Wei, et al.
Water Research (2025), pp. 123578-123578
Closed Access
Grey-box model of N2O and NH4+ for predictive control in the activated sludge process
Laura Debel, Peter Alexander Stentoft, Mikkel Stokholm-Bjerregaard, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107503-107503
Closed Access
Interpretability and performance assessment of advanced machine learning models for α-factor prediction in wastewater treatment plants
Srinivas Tenneti, P. Divya, E. S. S. Tejaswini, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107637-107637
Closed Access
Deep Learning-Based Multiobjective Optimization for Balancing Effluent Quality, Operational Cost, and Greenhouse Gas Emissions in Wastewater Treatment Plant Control
Hao Lu, Zhaohui Meng, Bao Zhang, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 6, pp. 2564-2577
Closed Access | Times Cited: 3
Direct and indirect monitoring methods for nitrous oxide emissions in full-scale wastewater treatment plants: A critical review
Zhenxin Shang, Chen Cai, Yanli Guo, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120842-120842
Closed Access | Times Cited: 2
Variability and Uncertainty Analysis of N2O Emissions from WWTP to Improve the Accuracy of Emission Factors and the Design of Monitoring Strategies
Carlos Domingo‐Félez, Marlene Mark Jensen, Anders Bang, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 6, pp. 2542-2552
Open Access | Times Cited: 2
How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant
Yanyan Ma, Yiheng Qiao, Mengxue Chen, et al.
Water Research (2024), pp. 123041-123041
Closed Access | Times Cited: 2
An innovative model-based protocol for minimisation of greenhouse gas (GHG) emissions in WRRFs
Saba Daneshgar, Youri Amerlinck, Adriana Garcia do Amaral, et al.
Chemical Engineering Journal (2024) Vol. 483, pp. 148327-148327
Closed Access | Times Cited: 1
Black-box modelling of non-stationary N2O dynamics in a full-scale wastewater treatment plant
Laura Hansen, Peter Alexander Stentoft, Daniel Ortíz-Arroyo, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 28, pp. 714-719
Open Access | Times Cited: 1
Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants
Yunpeng Song, Yuqi Wang, Tiefu Xu, et al.
Elsevier eBooks (2024), pp. 537-549
Closed Access
Interpretable GHG emission prediction for papermaking wastewater treatment process with deep learning
Zhenglei He, Shizhong Li, Yutao Wang, et al.
Chemical Engineering Science (2024) Vol. 299, pp. 120492-120492
Closed Access
Applying a Seasonal Adjustment Method to Continuous Dissolved Nitrous Oxide Data in a Carrousel Reactor
Shohei OTOMO, Makoto Kasai, Satoru SHIBATA, et al.
Journal of Japan Society on Water Environment (2024) Vol. 47, Iss. 5, pp. 129-137
Open Access
Machine learning application in municipal wastewater treatment to enhance the performance of a sequencing batch reactor wastewater treatment plant
Hagar H. Hassan
Environmental Science Advances (2024) Vol. 4, Iss. 1, pp. 125-132
Open Access
Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance
Yasemin Ayaz Atalan, Abdülkadir Atalan
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 241-241
Open Access
Development and evaluation of a novel framework to enhance k-NN algorithm’s accuracy in data sparsity contexts
Panagiotis G. Giannopoulos, Thomas K. Dasaklis, Nikolaos P. Rachaniotis
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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