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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 framework for intelligent aeration control in wastewater treatment plants: Automatic feature engineering based on variation sliding layer
Yuqi Wang, Hongcheng Wang, Yunpeng Song, et al.
Water Research (2023) Vol. 246, pp. 120676-120676
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Deciphering carbon emissions in urban sewer networks: Bridging urban sewer networks with city-wide environmental dynamics
Jiaji Chen, Hongcheng Wang, Wanxin Yin, et al.
Water Research (2024) Vol. 256, pp. 121576-121576
Closed Access | Times Cited: 26
Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment
Hongcheng Wang, Yuqi Wang, Xu Wang, et al.
Engineering (2024) Vol. 36, pp. 51-62
Open Access | Times Cited: 25
A Deep-Learning-Based Data-Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems
Yu Shen, Zhu Xiao-gang, Zhiwei Guo, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 25757-25770
Closed Access | Times Cited: 25
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: 13
Revolutionizing wastewater treatment toward circular economy and carbon neutrality goals: Pioneering sustainable and efficient solutions for automation and advanced process control with smart and cutting-edge technologies
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105486-105486
Open Access | Times Cited: 11
Integrated real-time intelligent control for wastewater treatment plants: data-driven modeling for enhanced prediction and regulatory strategies
Wei Dai, Ji-Wei Pang, Jie Ding, et al.
Water Research (2025) Vol. 274, pp. 123099-123099
Closed Access
Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review
Wenjing Yang, Haiyan Li
ACS ES&T Water (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
Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network
Wanxin Yin, Kehua Chen, Jia-Qiang Lv, et al.
Environmental Science & Technology (2025)
Closed Access
Minimising the bubble size through fluidic control of formation at a submerged orifice: The role of oscillatory inflow
Zhen Chen, Jiaao Yu, Wei Fan, et al.
Water Research (2025) Vol. 277, pp. 123309-123309
Closed Access
Importance Analysis of Key Parameters for Coagulation Dosage Prediction Based on Machine Learning Models
Shijie Wang, Pinkun He, Yaning Yang, et al.
(2025)
Closed Access
Reviewing and diagnosing upgradation strategies of wastewater treatment plants in China
Ranbin Liu, Dingrong Han, Huanlun Zhang, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107267-107267
Closed Access
Machine learning in wastewater: opportunities and challenges — “not everything is a nail!”
Peter A. Vanrolleghem, Mostafa Khalil, M. G. Serrão, et al.
Current Opinion in Biotechnology (2025) Vol. 93, pp. 103271-103271
Open Access
Explainable machine learning models enhance prediction of PFAS bioactivity using quantitative molecular surface analysis-derived representation
Zhipeng Yin, Min Zhang, Runzeng Liu, et al.
Water Research (2025), pp. 123500-123500
Closed Access
Enhancing effluent quality prediction in wastewater treatment plants through the integration of factor analysis and machine learning
Jia-Qiang Lv, Lili Du, Hongyong Lin, et al.
Bioresource Technology (2023) Vol. 393, pp. 130008-130008
Closed Access | Times Cited: 13
Machine learning framework for wastewater circular economy — Towards smarter nutrient recoveries
Allan Soo, Li Gao, Ho Kyong Shon
Desalination (2024) Vol. 592, pp. 118092-118092
Open Access | Times Cited: 4
Leveraging machine learning for prediction of antibiotic resistance genes post thermal hydrolysis-anaerobic digestion in dairy waste
Haiyan Su, Tianjiao Zhu, Jia-Qiang Lv, et al.
Bioresource Technology (2024) Vol. 399, pp. 130536-130536
Closed Access | Times Cited: 3
An aeration requirements calculating method based on BOD5 soft measurement model using deep learning and improved coati optimization algorithm
Wangben Zhao, Yuling Liu, Xing De Zhou, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105693-105693
Closed Access | Times Cited: 3
Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks
Feng Hou, Shuai Liu, Wanxin Yin, et al.
The Science of The Total Environment (2024) Vol. 947, pp. 174469-174469
Closed Access | Times Cited: 3
Enhancing Decision Making and Decarbonation in Environmental Management: A Review on the Role of Digital Technologies
Abdel‐Mohsen O. Mohamed, Dina Mohamed, Adham Fayad, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7156-7156
Open Access | Times Cited: 3
Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning
Wanxin Yin, Jia-Qiang Lv, Shuai Liu, et al.
Bioresource Technology (2024) Vol. 415, pp. 131640-131640
Closed Access | Times Cited: 3
Modeling nitrogen removal performance based on novel microbial activity indicators in WWTP by machine learning and biological interpretation
Yadan Yu, Hao Zeng, Liyun Wang, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120256-120256
Closed Access | Times Cited: 1
Machine Learning Accelerating the Condition Screening of Ceftriaxone Sodium Anaerobic Co-Metabolic Degradation
Hao Chen, Xinyuan Cao, Jinlong Wang, et al.
ACS ES&T Engineering (2024) Vol. 4, Iss. 4, pp. 947-955
Closed Access | Times Cited: 1
Enhancing Decarbonation in Solid Waste Management, Wastewater and Contaminated Soil Treatments: The Role of Data Automation and Decision Support Systems
Abdel‐Mohsen O. Mohamed, Dina Mohamed, Adham Fayad, et al.
(2024)
Open Access | Times Cited: 1
From data to clean water: XGBoost and Bayesian optimization for advanced wastewater treatment with ultrafiltration
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Tawfik A. Saleh
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
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