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:

An Integrated First Principal and Deep Learning Approach for Modeling Nitrous Oxide Emissions from Wastewater Treatment Plants
Kaili Li, Haoran Duan, Linfeng Liu, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 4, pp. 2816-2826
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Calculation of carbon emissions in wastewater treatment and its neutralization measures: A review
Zhixin Liu, Ziyi Xu, Xiaolei Zhu, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169356-169356
Closed Access | Times Cited: 69

Deep learning in wastewater treatment: a critical review
Maira Alvi, Damien J. Batstone, Christian Kazadi Mbamba, et al.
Water Research (2023) Vol. 245, pp. 120518-120518
Open Access | Times Cited: 61

Deep learning based data-driven model for detecting time-delay water quality indicators of wastewater treatment plant influent
Yituo Zhang, Chaolin Li, Hengpan Duan, et al.
Chemical Engineering Journal (2023) Vol. 467, pp. 143483-143483
Closed Access | Times Cited: 60

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

Net-zero carbon condition in wastewater treatment plants: A systematic review of mitigation strategies and challenges
Mojtaba Maktabifard, Hussein E. Al‐Hazmi, Paulina Szulc, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 185, pp. 113638-113638
Open Access | Times Cited: 41

Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives
Abdul Gaffar Sheik, Arvind Kumar, Chandra Sainadh Srungavarapu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110132-110132
Open Access | Times Cited: 1

A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 37

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: 36

How to Provide Nitrite Robustly for Anaerobic Ammonium Oxidation in Mainstream Nitrogen Removal
Kaichong Wang, Li Jia, Xin Gu, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 51, pp. 21503-21526
Closed Access | Times Cited: 24

Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective
Guangtao Fu, Siao Sun, Lan Hoang, et al.
Cambridge Prisms Water (2023) Vol. 1
Open Access | Times Cited: 22

An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods
Yue Zheng, Jun Wei, Wenming Zhang, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121932-121932
Closed Access | Times Cited: 9

Advances in GHG emissions modelling for WRRFs: From State-of-the-Art methods to Full-Scale applications
Mostafa Khalil, Ahmed AlSayed, Ahmed Elsayed, et al.
Chemical Engineering Journal (2024) Vol. 494, pp. 153053-153053
Open Access | Times Cited: 8

Automatic control and optimal operation for greenhouse gas mitigation in sustainable wastewater treatment plants: A review
Hao Lu, Huazhe Wang, Qinglian Wu, et al.
The Science of The Total Environment (2022) Vol. 855, pp. 158849-158849
Closed Access | Times Cited: 31

An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
Bartosz Szeląg, Ewa Zaborowska, Jacek Mąkinia
Journal of Water Process Engineering (2023) Vol. 54, pp. 103939-103939
Closed Access | Times Cited: 16

Adaptive prediction for effluent quality of wastewater treatment plant: Improvement with a dual-stage attention-based LSTM network
Tong An, Kuanliang Feng, Peijin Cheng, et al.
Journal of Environmental Management (2024) Vol. 359, pp. 120887-120887
Closed Access | Times Cited: 6

Making waves: Knowledge and data fusion in urban water modelling
Haoran Duan, Jiuling Li, Zhiguo Yuan
Water Research X (2024) Vol. 24, pp. 100234-100234
Closed Access | Times Cited: 6

Unit Operation and Process Modeling with Physics-Informed Machine Learning
Haochen Li, David Spelman, John J. Sansalone
Journal of Environmental Engineering (2024) Vol. 150, Iss. 4
Open Access | Times Cited: 5

Exploring data quality and seasonal variations of N2O in wastewater treatment: a modeling perspective
Laura Hansen, Peter Alexander Stentoft, Daniel Ortíz-Arroyo, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 3, pp. 1016-1031
Open Access | Times Cited: 5

Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP
Ruojia Li, Kuanliang Feng, Tong An, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 4, pp. 1904-1915
Closed Access | Times Cited: 5

Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review
Wenjing Yang, Haiyan Li
ACS ES&T Water (2025)
Closed Access

Grey-Box Model of N2o And Nh4+ for Predictive Control in the Activated Sludge Process
Laura Hansen, Peter Alexander Stentoft, Mikkel Stokholm-Bjerregaard, et al.
(2025)
Closed Access

Uncovering unknown dynamics in water resource recovery facilities with neural differential equations and Shapley value analysis
Ward Quaghebeur, Elena Torfs, Mostafa Khalil, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106856-106856
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

A review on full-, zero-, and partial-knowledge based predictive models for industrial applications
Stefano Zampini, Guido Parodi, Luca Oneto, et al.
Information Fusion (2025), pp. 102996-102996
Open Access

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