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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 as a sustainable tool in wastewater treatment using membrane bioreactors
Mohammadreza Kamali, Lise Appels, Xiaobin Yu, et al.
Chemical Engineering Journal (2020) Vol. 417, pp. 128070-128070
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

A comprehensive comparison of green Bi2WO6/g-C3N4 and Bi2WO6/TiO2 S-scheme heterojunctions for photocatalytic adsorption/degradation of Cefixime: Artificial neural network, degradation pathway, and toxicity estimation
Ariya Gordanshekan, Shakiba Arabian, Ali Reza Solaimany Nazar, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 139067-139067
Closed Access | Times Cited: 151
Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review
Chengxin Niu, Xuesong Li, Ruobin Dai, et al.
Water Research (2022) Vol. 216, pp. 118299-118299
Closed Access | Times Cited: 143
Sustainable and efficient technologies for removal and recovery of toxic and valuable metals from wastewater: Recent progress, challenges, and future perspectives
Abdelnasser Abidli, Yifeng Huang, Zeineb Ben Rejeb, et al.
Chemosphere (2021) Vol. 292, pp. 133102-133102
Closed Access | Times Cited: 133
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: 115
Smart Water Resource Management Using Artificial Intelligence—A Review
Siva Rama Krishnan Somayaji, M. K. Nallakaruppan, Rajeswari Chengoden, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13384-13384
Open Access | Times Cited: 114
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: 107
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: 102
Recent advances of nanocomposite membranes using layer-by-layer assembly
Chen Wang, Myoung Jun Park, Hanwei Yu, et al.
Journal of Membrane Science (2022) Vol. 661, pp. 120926-120926
Closed Access | Times Cited: 86
Artificial Intelligence in Biological Sciences
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 77
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: 70
Smart waste management: A paradigm shift enabled by artificial intelligence
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada, et al.
Waste Management Bulletin (2024) Vol. 2, Iss. 2, pp. 244-263
Open Access | Times Cited: 59
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: 51
Research on the factors influencing nanofiltration membrane fouling and the prediction of membrane fouling
Wenjing Zheng, Yan Chen, Xiaohu Xu, et al.
Journal of Water Process Engineering (2024) Vol. 59, pp. 104876-104876
Closed Access | Times Cited: 31
Sustainable wastewater reuse for agriculture
Anastasis Christou, Vasiliki G. Beretsou, Iakovos C. Iakovides, et al.
Nature Reviews Earth & Environment (2024) Vol. 5, Iss. 7, pp. 504-521
Open Access | Times Cited: 29
Machine learning for membrane design in energy production, gas separation, and water treatment: a review
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, et al.
Environmental Chemistry Letters (2024) Vol. 22, Iss. 2, pp. 505-560
Open Access | Times Cited: 25
Enhanced nitrogen removal via partial nitrification/denitrification coupled Anammox using three stage anoxic/oxic biofilm process with intermittent aeration
Zhuang Zhang, Deyong Li, Changhui Zhou, et al.
Water Research (2024) Vol. 255, pp. 121491-121491
Closed Access | Times Cited: 17
Identification and removal of micro- and nano-plastics: Efficient and cost-effective methods
Aayushi Kundu, Nagaraj P. Shetti, Soumen Basu, et al.
Chemical Engineering Journal (2021) Vol. 421, pp. 129816-129816
Open Access | Times Cited: 86
Integrated loose nanofiltration-electrodialysis process for sustainable resource extraction from high-salinity textile wastewater
Jiuyang Lin, Qin Chen, Xuan Huang, et al.
Journal of Hazardous Materials (2021) Vol. 419, pp. 126505-126505
Closed Access | Times Cited: 63
Removal of polystyrene nanoplastic beads using gravity-driven membrane filtration: Mechanisms and effects of water matrices
Hongyi Wan, Ke Ji Shi, Zhiyuan Yi, et al.
Chemical Engineering Journal (2022) Vol. 450, pp. 138484-138484
Closed Access | Times Cited: 57
An approach to removing COD and BOD based on polycarbonate mixed matrix membranes that contain hydrous manganese oxide and silver nanoparticles: A novel application of artificial neural network based simulation in MATLAB
Sasan Zahmatkesh, Yousof Rezakhani, Alireza Arabi, et al.
Chemosphere (2022) Vol. 308, pp. 136304-136304
Closed Access | Times Cited: 43
Pathway towards the commercialization of sustainable microbial fuel cell-based wastewater treatment technologies
Mohammadreza Kamali, Yutong Guo, Tejraj M. Aminabhavi, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 173, pp. 113095-113095
Closed Access | Times Cited: 42
Machine learning-based real-time prediction of micropollutant behaviour in forward osmosis membrane (waste)water treatment
Nguyen Duc Viet, Am Jang
Journal of Cleaner Production (2023) Vol. 389, pp. 136023-136023
Closed Access | Times Cited: 32
Wastewater treatment using nanodiamond and related materials
Hossein Molavi, Kamyar Mirzaei, Erfan Jafarpour, et al.
Journal of Environmental Management (2023) Vol. 349, pp. 119349-119349
Closed Access | Times Cited: 30
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
Integrating artificial intelligence modeling and membrane technologies for advanced wastewater treatment: Research progress and future perspectives
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo, et al.
The Science of The Total Environment (2024) Vol. 944, pp. 173999-173999
Open Access | Times Cited: 13
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