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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:

Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Nitin Kumar Singh, Manish Yadav, Vijai Singh, et al.
Bioresource Technology (2022) Vol. 369, pp. 128486-128486
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Intelligent approaches for sustainable management and valorisation of food waste
Zafar Said, Prabhakar Sharma, Quach Thi Bich Nhuong, et al.
Bioresource Technology (2023) Vol. 377, pp. 128952-128952
Open Access | Times Cited: 77
Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: A review on new strategies involving machine learning and artificial intelligence
Sudarshan Sahu, Anupreet Kaur, Gursharan Singh, et al.
Journal of Environmental Management (2023) Vol. 346, pp. 119004-119004
Closed Access | Times Cited: 57
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: 46
Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 39
Artificial Intelligence Technologies Revolutionizing Wastewater Treatment: Current Trends and Future Prospective
Ahmed E. Alprol, Abdallah Tageldein Mansour, E. M. Ibrahim, et al.
Water (2024) Vol. 16, Iss. 2, pp. 314-314
Open Access | Times Cited: 18
Prediction of effluent total nitrogen and energy consumption in wastewater treatment plants: Bayesian optimization machine learning methods
Gang Ye, Jinquan Wan, Zhicheng Deng, et al.
Bioresource Technology (2024) Vol. 395, pp. 130361-130361
Closed Access | Times Cited: 17
Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: A plant-level analysis
Maria Alice Prado Cechinel, Juliana Neves, João Vitor Rios Fuck, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104758-104758
Closed Access | Times Cited: 14
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: 11
Artificial intelligence and machine learning for smart bioprocesses
Samir Kumar Khanal, Ayon Tarafdar, Siming You
Bioresource Technology (2023) Vol. 375, pp. 128826-128826
Closed Access | Times Cited: 34
Emerging Applications of Chlorella sp. and Spirulina (Arthrospira) sp.
Ana Paula Abreu, Rodrigo Martins, João Nunes
Bioengineering (2023) Vol. 10, Iss. 8, pp. 955-955
Open Access | Times Cited: 33
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: 31
Can Artificial Intelligence Accelerate Fluid Mechanics Research?
Dimitris Drikakis, Filippos Sofos
Fluids (2023) Vol. 8, Iss. 7, pp. 212-212
Open Access | Times Cited: 24
Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges
Brij Mohan Maurya, Nidhi Yadav, T. Amudha, et al.
Chemosphere (2024) Vol. 353, pp. 141474-141474
Closed Access | Times Cited: 10
Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach
Iman Salahshoori, Marcos A.L. Nobre, Amirhosein Yazdanbakhsh, et al.
Journal of Molecular Liquids (2024) Vol. 410, pp. 125592-125592
Open Access | Times Cited: 10
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: 9
Wastewater recycling and groundwater sustainability through self-organizing map and style based generative adversarial networks
B Varasree, V Kavithamani, Prithvi Chandrakanth, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101092-101092
Closed Access | Times Cited: 8
Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review
Voravich Ganthavee, Antoine P. Trzcinski
Environmental Chemistry Letters (2024) Vol. 22, Iss. 5, pp. 2293-2318
Open Access | Times Cited: 7
Prediction of the effluent chemical oxygen demand and volatile fatty acids for anaerobic treatment based on different feature selections machine-learning methods from lab-scale to pilot-scale
Gang Ye, Jinquan Wan, Yuwei Bai, et al.
Journal of Cleaner Production (2024) Vol. 437, pp. 140679-140679
Closed Access | Times Cited: 6
Machine learning-based prediction of biological oxygen demand and unit electricity consumption in different-scale wastewater treatment plants
Gang Ye, Jinquan Wan, Zhicheng Deng, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 111849-111849
Closed Access | Times Cited: 6
Microorganism-mediated bioremediation of dyes from contaminated soil: Mechanisms, recent advances, and future perspectives
A. Saravanan, P.R. Yaashikaa, B. Ramesh, et al.
Food and Chemical Toxicology (2024) Vol. 185, pp. 114491-114491
Closed Access | Times Cited: 6
Enhancing wastewater treatment through artificial intelligence: A comprehensive study on nutrient removal and effluent quality prediction
Offir Inbar, Dror Avisar
Journal of Water Process Engineering (2024) Vol. 61, pp. 105212-105212
Closed Access | Times Cited: 6
Digitalization of Phosphorous Removal Process in Biological Wastewater Treatment Systems: Challenges, and Way Forward
Abdul Gaffar Sheik, Suresh Babu Naidu Krishna, Reeza Patnaik, et al.
Environmental Research (2024) Vol. 252, pp. 119133-119133
Open Access | Times Cited: 6
Enhanced prediction of partial nitrification-anammox process in wastewater treatment by developing an attention-based deep learning network
Jiayuan Ji, Zhixi Feng, Shuai Chen
Journal of Environmental Management (2025) Vol. 374, pp. 124012-124012
Open Access
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
A hypothetical model of multi-layered cost-effective wastewater treatment plant integrating microbial fuel cell and nanofiltration technology: A comprehensive review on wastewater treatment and sustainable remediation
Aniket Naha, Sherly Antony, Soumitra Nath, et al.
Environmental Pollution (2023) Vol. 323, pp. 121274-121274
Closed Access | Times Cited: 18
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