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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:

An osmotic membrane bioreactor–clarifier system with a deep learning model for simultaneous reduction of salt accumulation and membrane fouling
Nguyen Duc Viet, Sung-Ju Im, Chang‐Min Kim, et al.
Chemosphere (2021) Vol. 272, pp. 129872-129872
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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: 152
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: 72
Membrane Technology for Energy Saving: Principles, Techniques, Applications, Challenges, and Prospects
Ahmed I. Osman, Zhonghao Chen, Ahmed M. Elgarahy, et al.
Advanced Energy and Sustainability Research (2024) Vol. 5, Iss. 5
Open Access | Times Cited: 70
Enhancement of membrane system performance using artificial intelligence technologies for sustainable water and wastewater treatment: A critical review
Nguyen Duc Viet, Duksoo Jang, Yeomin Yoon, et al.
Critical Reviews in Environmental Science and Technology (2021) Vol. 52, Iss. 20, pp. 3689-3719
Closed Access | Times Cited: 59
Recent Progress in Sustainable Treatment Technologies for the Removal of Emerging Contaminants from Wastewater: A Review on Occurrence, Global Status and Impact on Biota
Anu Mary Ealias, Gayathri Meda, Kashif Tanzil
Reviews of Environmental Contamination and Toxicology (2024) Vol. 262, Iss. 1
Closed Access | Times Cited: 15
Development of artificial intelligence-based models for the prediction of filtration performance and membrane fouling in an osmotic membrane bioreactor
Nguyen Duc Viet, Am Jang
Journal of environmental chemical engineering (2021) Vol. 9, Iss. 4, pp. 105337-105337
Closed Access | Times Cited: 46
Enhanced understanding of osmotic membrane bioreactors through machine learning modeling of water flux and salinity
Hau‐Ming Chang, Yanran Xu, Shiao‐Shing Chen, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 156009-156009
Closed Access | Times Cited: 33
Comparative mathematical and data-driven models for simulating the performance of forward osmosis membrane under different draw solutions
Nguyen Duc Viet, Am Jang
Desalination (2023) Vol. 549, pp. 116346-116346
Closed Access | Times Cited: 21
Using machine learning architecture to optimize and model the treatment process for saline water level analysis
Sarvesh P. S. Rajput, Julian Webber, Ali Bostani, et al.
Journal of Water Reuse and Desalination (2022)
Open Access | Times Cited: 27
Recent advances in innovative osmotic membranes for resource enrichment and energy production in wastewater treatment
Nguyen Duc Viet, Di Wu
The Science of The Total Environment (2024) Vol. 927, pp. 172153-172153
Closed Access | Times Cited: 4
Advances in Research on Desalination Technology for High-Sodium Wastewater
Zhucheng Li, Chunchun Mao, Jingwen Zhang, et al.
Sustainability (2025) Vol. 17, Iss. 1, pp. 333-333
Open Access
Opportunities, challenges and future prospects of carbon nanotubes-infused nanocomposite membranes in complex industrial wastewater treatment: A systematic review
S. Letlhabula, Olawumi Oluwafolakemi Sadare, Soraya P. Malinga, et al.
Next Nanotechnology (2025) Vol. 7, pp. 100156-100156
Open Access
Artificial Intelligence Applications in Forward Osmosis for Water Treatment: Recent Developments and Research Directions
Saleh O. Alaswad, Eydhah Almatrafi
Desalination and Water Treatment (2024) Vol. 319, pp. 100551-100551
Open Access | Times Cited: 3
Utilising Artificial Intelligence to Predict Membrane Behaviour in Water Purification and Desalination
Reza Shahouni, Mohsen Abbasi, Mahdieh Dibaj, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2940-2940
Open Access | Times Cited: 3
Machine learning for membrane bioreactor research: principles, methods, applications, and a tutorial
Yizhe Lai, Kang Xiao, Yifan He, et al.
Frontiers of Environmental Science & Engineering (2024) Vol. 19, Iss. 3
Closed Access | Times Cited: 3
A breakthrough dynamic-osmotic membrane bioreactor/nanofiltration hybrid system for real municipal wastewater treatment and reuse
Nguyen Cong Nguyen, Hau Thi Nguyen, Hung Cong Duong, et al.
Bioresource Technology (2021) Vol. 342, pp. 125930-125930
Closed Access | Times Cited: 19
Fertilizer draw solution index in osmotic membrane bioreactor for simultaneous wastewater treatment and sustainable agriculture
Nguyen Duc Viet, Am Jang
Chemosphere (2022) Vol. 296, pp. 134002-134002
Closed Access | Times Cited: 12
Fate, elimination, and simulation of low-molecular-weight micropollutants in an integrated activated carbon-fertiliser drawn osmotic membrane bioreactor
Nguyen Duc Viet, Hyeonho Lee, Sung-Ju Im, et al.
Bioresource Technology (2022) Vol. 351, pp. 126972-126972
Closed Access | Times Cited: 12
Applications of artificial intelligence for membrane separation: A review
Mehryar Jafari, Christina Tzirtzipi, Bernardo Castro‐Dominguez
Journal of Water Process Engineering (2024) Vol. 68, pp. 106532-106532
Open Access | Times Cited: 2
Optimizing coagulant dosage using deep learning models with large-scale data
Jiwoong Kim, Chuanbo Hua, Kyoungpil Kim, et al.
Chemosphere (2023) Vol. 350, pp. 140989-140989
Closed Access | Times Cited: 6
An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems
Sung-Ju Im, Nguyen Duc Viet, Byung-Tae Lee, et al.
Environmental Research (2023) Vol. 237, pp. 116786-116786
Closed Access | Times Cited: 5
On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling
Hesamedin Hekmatmehr, Ali Esmaeili, Saeid Atashrouz, et al.
Water Environment Research (2024) Vol. 96, Iss. 1
Closed Access | Times Cited: 1
Leveraging machine learning to model salinity and water flux for improved insights into forward osmosis membrane bioreactors
Ali Aldrees, Bilal Siddiq, Wael S. Al-Rashed, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106585-106585
Closed Access | Times Cited: 1
Introduction to antibiofouling membranes: current status and recent developments
Zhiwei Wang, Ruobin Dai, Xuesong Li
Elsevier eBooks (2024), pp. 1-32
Closed Access
Perspective trends of osmotic membrane bioreactor hybrid system for a circular economy
Hau‐Ming Chang, Chao He, Min Zhan, et al.
Chemical Engineering Journal (2024) Vol. 500, pp. 157374-157374
Closed Access
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