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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:

Applications of machine learning algorithms for biological wastewater treatment: Updates and perspectives
Batsuren Sundui, Olga Calderón, Omar M. Abdeldayem, et al.
Clean Technologies and Environmental Policy (2021) Vol. 23, Iss. 1, pp. 127-143
Closed Access | Times Cited: 119

Showing 26-50 of 119 citing articles:

Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery
S. Kavitha, Yukesh Kannah Ravi, Gopalakrishnan Kumar, et al.
Journal of Environmental Management (2024) Vol. 353, pp. 120135-120135
Closed Access | Times Cited: 11
Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication
Fernando Amador-Castro, Martín Esteban González‐López, Gabriela López‐González, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 119959-119959
Closed Access | Times Cited: 10
Prediction of purified water quality in industrial hydrocarbon wastewater treatment using an artificial neural network and response surface methodology
Nour El Houda Mellal, Wafa Tahar, Messaouda Boumaaza, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104757-104757
Closed Access | Times Cited: 10
Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants
Ahmed Elsayed, Maysara Ghaith, Ahmed Yosri, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120510-120510
Open Access | Times Cited: 10
Bolstering circular economy in construction through digitalisation
Emmanuel Chidiebere Eze, Onyinye Sofolahan, Rex Asibuodu Ugulu, et al.
Construction Innovation (2024)
Closed Access | Times Cited: 9
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: 9
A comprehensive review of landfill leachate treatment technologies
Jiachen Wang, 真 高橋
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 9
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: 8
Applying Machine Learning Approach to Design Operational Control Strategies for a Wastewater Treatment Plant in Typical Scenarios
Han Li, Chao Liu, Xiao Guo, et al.
Water (2025) Vol. 17, Iss. 3, pp. 310-310
Open Access | Times Cited: 1
Integrating machine learning regression and classification for enhanced interpretability in optimizing the Fenton process for real wastewater treatment conditions
Başak Temur Ergan, Özgün Yücel, Erhan Gengeç, et al.
Separation and Purification Technology (2025), pp. 132182-132182
Closed Access | Times Cited: 1
MachIne learning for nutrient recovery in the smart city circular economy – A review
Allan Soo, Li Wang, Chen Wang, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 529-557
Closed Access | Times Cited: 21
Machine learning for algal biofuels: a critical review and perspective for the future
Ahmet Çoşgun, M. Erdem Günay, Ramazan Yıldırım
Green Chemistry (2023) Vol. 25, Iss. 9, pp. 3354-3373
Closed Access | Times Cited: 18
Machine learning-based global trends and the development prospects of wastewater treatment: A bibliometric analysis
Libo Xia, Xiaoxuan Hao, Yun Zhou
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112732-112732
Closed Access | Times Cited: 7
Modelling and optimization of membrane process for removal of biologics (pathogens) from water and wastewater: Current perspectives and challenges
Olawumi Oluwafolakemi Sadare, Doris Oke, Oluwagbenga Abiola Olawuni, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29864-e29864
Open Access | Times Cited: 6
Application of artificial intelligence tools in wastewater and waste gas treatment systems: Recent advances and prospects
Shishir Kumar Behera, S. Karthika, Biswanath Mahanty, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122386-122386
Closed Access | Times Cited: 6
Machine learning classification algorithms for inadequate wastewater treatment risk mitigation
Ahmed Elsayed, Ahmad Siam, Wael El‐Dakhakhni
Process Safety and Environmental Protection (2022) Vol. 159, pp. 1224-1235
Closed Access | Times Cited: 26
Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges
Shaili Vyas, Kusum Dhakar, Sunita Varjani, et al.
The Science of The Total Environment (2023) Vol. 891, pp. 164344-164344
Closed Access | Times Cited: 16
Machine Learning Implementation in Membrane Bioreactor Systems: Progress, Challenges, and Future Perspectives: A Review
Zacharias Frontistis, Grigoris Lykogiannis, Anastasios Sarmpanis
Environments (2023) Vol. 10, Iss. 7, pp. 127-127
Open Access | Times Cited: 16
Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) technologies for enhanced wastewater treatment systems
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 16
Artificial Intelligence and Wastewater Treatment: A Global Scientific Perspective through Text Mining
Abdelhafid El Alaoui El Fels, Laila Mandi, Aya Kammoun, et al.
Water (2023) Vol. 15, Iss. 19, pp. 3487-3487
Open Access | Times Cited: 15
Exploring machine learning applications in chemical production through valorization of biomass, plastics, and petroleum resources: A comprehensive review
Iradat Hussain Mafat, Dadi Venkata Surya, Sumeet K. Sharma, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 180, pp. 106512-106512
Closed Access | Times Cited: 5
Machine learning for the prediction of problems in steel tube bending process
Volkan Görüş, M. Mustafa Bahşı, Mehmet Çevik
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108584-108584
Closed Access | Times Cited: 5
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: 5
Exploration of time series model for predictive evaluation of long-term performance of membrane distillation desalination
Saikat Sinha Ray, Rohit Kumar Verma, Ashutosh Singh, et al.
Process Safety and Environmental Protection (2022) Vol. 160, pp. 1-12
Closed Access | Times Cited: 19
A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste
Mohammed Tamim Zaki, Lewis S. Rowles, Donald Adjeroh, et al.
ACS ES&T Engineering (2023) Vol. 3, Iss. 10, pp. 1424-1467
Open Access | Times Cited: 12

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