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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:

Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
Mohamad-Javad Mehrani, Faramarz Bagherzadeh, Min Zheng, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 1015-1024
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A review of artificial intelligence in water purification and wastewater treatment: Recent advancements
Soma Safeer, Ravi P. Pandey, Bushra Rehman, et al.
Journal of Water Process Engineering (2022) Vol. 49, pp. 102974-102974
Closed Access | Times Cited: 116
Review on machine learning-based bioprocess optimization, monitoring, and control systems
Partha Pratim Mondal, Abhinav Galodha, Vishal Verma, et al.
Bioresource Technology (2022) Vol. 370, pp. 128523-128523
Closed Access | Times Cited: 74
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: 51
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: 2
Artificial intelligence foundation and pre-trained models: Fundamentals, applications, opportunities, and social impacts
Adam Kolides, Alyna Nawaz, Anshu Rathor, et al.
Simulation Modelling Practice and Theory (2023) Vol. 126, pp. 102754-102754
Closed Access | Times Cited: 38
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Mohammad Ehteram, Elham Ghanbari-Adivi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92903-92921
Closed Access | Times Cited: 25
CFD-DPM data-driven GWO-SVR for fast prediction of nitrate decomposition in blast furnaces with nozzle arrangement optimization
Wenchang Wu, Menghui Zhang, Zhao Liang, et al.
Process Safety and Environmental Protection (2023) Vol. 176, pp. 438-449
Closed Access | Times Cited: 24
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: 15
Supercritical water gasification thermodynamic study and hybrid modeling of machine learning with the ideal gas model: Application to gasification of microalgae biomass
J.M. Santos J, Ícaro Augusto Maccari Zelioli, En F, et al.
Energy (2024) Vol. 291, pp. 130287-130287
Closed Access | Times Cited: 14
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: 10
Simultaneous sensor fault diagnosis and reconstruction for intelligent monitoring in wastewater treatment plants: An explainable deep multi-task learning model
Abdulrahman H. Ba-Alawi, Mohammed A. Al‐masni, ChangKyoo Yoo
Journal of Water Process Engineering (2023) Vol. 55, pp. 104119-104119
Closed Access | Times Cited: 18
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: 17
Analysis of Machine Learning Models for Wastewater Treatment Plant Sludge Output Prediction
Shuai Shao, Dianzheng Fu, Tianji Yang, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13380-13380
Open Access | Times Cited: 17
Forecasting nitrous oxide emissions from a full-scale wastewater treatment plant using LSTM-based deep learning models
Siddharth Seshan, Johann Poinapen, Marcel H. Zandvoort, et al.
Water Research (2024) Vol. 268, pp. 122754-122754
Open Access | Times Cited: 8
Contribution of nitrous oxide to the carbon footprint of full-scale wastewater treatment plants and mitigation strategies- a critical review
Hong Yao, Xinyu Gao, Jingbo Guo, et al.
Environmental Pollution (2022) Vol. 314, pp. 120295-120295
Closed Access | Times Cited: 23
Deep H2O: Cyber attacks detection in water distribution systems using deep learning
Md Nazmul Kabir Sikder, Minh B.T. Nguyen, E. Donald Elliott, et al.
Journal of Water Process Engineering (2023) Vol. 52, pp. 103568-103568
Closed Access | Times Cited: 16
Novel extended hybrid tool for real time control and practically support decisions to reduce GHG emissions in full scale wastewater treatment plants
Nicola Lancioni, Bartosz Szeląg, Massimiliano Sgroi, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121502-121502
Closed Access | Times Cited: 5
Performance prediction of horizontal flow constructed wetlands by employing machine learning
Saurabh Singh, Niha Mohan Kulshreshtha, Shubham Goyal, et al.
Journal of Water Process Engineering (2022) Vol. 50, pp. 103264-103264
Closed Access | Times Cited: 20
Water quality prediction of MBR based on machine learning: A novel dataset contribution analysis method
Hui Zhong, Ye Yuan, Ling Luo, et al.
Journal of Water Process Engineering (2022) Vol. 50, pp. 103296-103296
Closed Access | Times Cited: 20
Improvement of air flowrate distribution in the nitrification reactor of the waste water treatment plant by effluent quality, energy and greenhouse gas emissions optimization via artificial neural networks models
Norbert-Botond Mihály, Alexandra-Veronica Luca, Melinda Simon-Várhelyi, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103935-103935
Closed Access | Times Cited: 12
Prediction of nitrous oxide emission of a municipal wastewater treatment plant using LSTM-based deep learning models
Xiaozhen Xu, Anlei Wei, Songjun Tang, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 2, pp. 2167-2186
Closed Access | Times Cited: 12
Application of Bi-LSTM method for groundwater quality assessment through water quality indices
Wafa F. Alfwzan, Mahmoud M. Selim, Saad Althobaiti, et al.
Journal of Water Process Engineering (2023) Vol. 53, pp. 103889-103889
Closed Access | Times Cited: 11
Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
Sidhartha Sekhar Swain, Tapan Kumar Khura, P. Sahoo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
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: 4
Development of local and global wastewater biochemical oxygen demand real-time prediction models using supervised machine learning algorithms
Abdulaziz Sami Qambar, Mohammed Majid M. Al-Khalidy
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105709-105709
Open Access | Times Cited: 19
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