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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 1-25 of 119 citing articles:

Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises
Chetna Chauhan, Vinit Parida, Amandeep Dhir
Technological Forecasting and Social Change (2022) Vol. 177, pp. 121508-121508
Open Access | Times Cited: 439
Machine learning for biochemical engineering: A review
Max Mowbray, Thomas Savage, Chufan Wu, et al.
Biochemical Engineering Journal (2021) Vol. 172, pp. 108054-108054
Open Access | Times Cited: 136
Recent advances of algae-bacteria consortia in aquatic remediation
Shengnan Li, Chaofan Zhang, Fanghua Li, et al.
Critical Reviews in Environmental Science and Technology (2022) Vol. 53, Iss. 3, pp. 315-339
Closed Access | Times Cited: 120
The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning
Nawal Taoufik, Wafaa Boumya, Mounia Achak, et al.
The Science of The Total Environment (2021) Vol. 807, pp. 150554-150554
Closed Access | Times Cited: 110
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: 103
Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review
Raj Kumar Oruganti, Alka Pulimoottil Biji, Tiamenla Lanuyanger, et al.
The Science of The Total Environment (2023) Vol. 876, pp. 162797-162797
Closed Access | Times Cited: 94
Digital transformation of peatland eco-innovations (‘Paludiculture’): Enabling a paradigm shift towards the real-time sustainable production of ‘green-friendly’ products and services
Neil J. Rowan, Niall Murray, Yuansong Qiao, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 156328-156328
Open Access | Times Cited: 85
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: 75
A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes
Saikat Sinha Ray, Rohit Kumar Verma, Ashutosh Singh, et al.
Desalination (2022) Vol. 546, pp. 116221-116221
Closed Access | Times Cited: 71
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: 71
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: 65
Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries
Vishal Sharma, Mei‐Ling Tsai, Chiu‐Wen Chen, et al.
The Science of The Total Environment (2023) Vol. 886, pp. 163972-163972
Closed Access | Times Cited: 49
Learning-driven lossy image compression: A comprehensive survey
Sonain Jamil, Md. Jalil Piran, MuhibUr Rahman, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106361-106361
Open Access | Times Cited: 44
Photocatalytic degradation of drugs and dyes using a maching learning approach
Ganesan Anandhi, M. Iyapparaja
RSC Advances (2024) Vol. 14, Iss. 13, pp. 9003-9019
Open Access | Times Cited: 19
Biomass as source for hydrochar and biochar production to recover phosphates from wastewater: A review on challenges, commercialization, and future perspectives
Sivaprasad Shyam, Jayaseelan Arun, Kannappan Panchamoorthy Gopinath, et al.
Chemosphere (2021) Vol. 286, pp. 131490-131490
Closed Access | Times Cited: 87
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 68
Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review
Abdulla All Noman, Umma Habiba Akter, Tahmid Hasan Pranto, et al.
Annals of Emerging Technologies in Computing (2022) Vol. 6, Iss. 2, pp. 13-40
Open Access | Times Cited: 53
Advanced insights on removal of antibiotics by microalgae-bacteria consortia: A state-of-the-art review and emerging prospects
Zeyuan Wang, Yuhao Chu, Haixing Chang, et al.
Chemosphere (2022) Vol. 307, pp. 136117-136117
Closed Access | Times Cited: 44
Machine learning for microalgae detection and utilization
Hongwei Ning, Rui Li, Teng Zhou
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 39
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: 39
Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review
Szu-Han Wang, Yuan Yao
Resources Conservation and Recycling (2023) Vol. 190, pp. 106847-106847
Open Access | Times Cited: 37
DNN model development of biogas production from an anaerobic wastewater treatment plant using Bayesian hyperparameter optimization
Hadjer Sadoune, Rachida Rihani, Francesco Saverio Marra
Chemical Engineering Journal (2023) Vol. 471, pp. 144671-144671
Closed Access | Times Cited: 30
Digital water: artificial intelligence and soft computing applications for drinking water quality assessment
Gyan Chhipi‐Shrestha, Haroon R. Mian, Saeed Mohammadiun, et al.
Clean Technologies and Environmental Policy (2023) Vol. 25, Iss. 5, pp. 1409-1438
Closed Access | Times Cited: 24
Optimizing waste management strategies through artificial intelligence and machine learning - An economic and environmental impact study
Reema Alsabt, W. Alkhaldi, Yusuf A. Adenle, et al.
Cleaner Waste Systems (2024) Vol. 8, pp. 100158-100158
Open Access | Times Cited: 15
Artificial Neural Network Modeling for the Prediction, Estimation, and Treatment of Diverse Wastewaters: A Comprehensive Review and Future Perspective
Muhammad Ibrahim, Adnan Haider, Jun Wei Lim, et al.
Chemosphere (2024) Vol. 362, pp. 142860-142860
Closed Access | Times Cited: 14
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