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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:

A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs)
Waad H. Abuwatfa, Nour AlSawaftah, Naif Darwish, et al.
Membranes (2023) Vol. 13, Iss. 7, pp. 685-685
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network
Fei Yu, Shankou Zhang, Dan Su, et al.
Fractal and Fractional (2025) Vol. 9, Iss. 2, pp. 115-115
Open Access | Times Cited: 3
Recent Trends in the Application of Photocatalytic Membranes in Removal of Emerging Organic Contaminants in Wastewater
Kipchumba Nelson, Achisa C. Mecha, Humphrey Mutuma Samuel, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 163-163
Open Access | Times Cited: 1
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: 13
Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 8
Insight into soft chemometric computational learning for modelling oily-wastewater separation efficiency and permeate flux of polypyrrole-decorated ceramic-polymeric membranes
Umair Baig, Jamil Usman, Sani I. Abba, et al.
Journal of Chromatography A (2024) Vol. 1725, pp. 464897-464897
Closed Access | Times Cited: 6
Robust intelligent paradigms for estimating fouling in phosphoric acid / steam heat exchanger
Rania Jradi, Christophe Marvillet, Mohamed Razak Jeday
Energy (2025) Vol. 315, pp. 134439-134439
Closed Access
Performance Evaluation of Cellulose Acetate Embedded with Membrane of Graphene Oxide and Titanium Dioxide Nanoparticles
Eman K. Muhye Adeen, Adel Saadi, S.V. Satyanarayana
Signals and communication technology (2025), pp. 123-127
Closed Access
Optimizing enzymatic bioreactors: The role of mass transfer in enhancing catalytic efficiency and stability
Dan Wang, Hao Zhang, Yukun Wang, et al.
Chemical Engineering Journal (2025) Vol. 508, pp. 160844-160844
Closed Access
Role of Carboxymethyl Cellulose on Rejection and Recovery of Heavy Metals Using Polyvinylidene Fluoride Membrane Ultrafiltration System: Response Surface Methodology Optimization, Modeling, and Regeneration
M. Al‐Mutair, Mukarram Zubair, Rajeev Kumar, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Machine learning algorithms for predicting membrane bioreactors performance: A review
Marina Muniz de Queiroz, Victor Rezende Moreira, Míriam Cristina Santos Amaral, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 124978-124978
Closed Access
Challenges of industrial wastewater treatment: utilizing Membrane bioreactors (MBRs) in conjunction with artificial intelligence (AI) technology
Hung-Li Chang, Yu‐Lun Liu, Ching‐Jui Keng, et al.
Journal of Industrial and Production Engineering (2024) Vol. 41, Iss. 5, pp. 422-427
Open Access | Times Cited: 4
Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst
Tahani S. Gendy, Radwa A. El‐Salamony, Maher M. Alrashed, et al.
Molecular Catalysis (2024) Vol. 562, pp. 114216-114216
Open Access | Times Cited: 3
Effective design of sustainable energy productivity based on the experimental investigation of the humidification-dehumidification-desalination system using hybrid optimization
Dahiru U. Lawal, Jamil Usman, Sani I. Abba, et al.
Energy Conversion and Management (2024) Vol. 319, pp. 118942-118942
Closed 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
Comprehensive updates on recent advances, fouling mechanisms, and future perspectives of nanofiltration
Muhammad Al Kholif, Joni Hermana, Muhammad Roil Bilad, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105565-105565
Closed Access | Times Cited: 2
Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during electrodialysis with filtration membranes
Zain Sanchez‐Reinoso, Mathieu Bazinet, Benjamin Leblanc, et al.
Separation and Purification Technology (2024), pp. 130877-130877
Open Access | Times Cited: 2
Estimation and sensitivity analysis of fouling resistance in phosphoric acid/steam heat exchanger using artificial neural networks and regression methods
Rania Jradi, Christophe Marvillet, Mohamed Razak Jeday
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
A comprehensive review on artificial intelligence in water treatment for optimization. Clean water now and the future
Machodi Mathaba, JeanClaude Banza
Journal of Environmental Science and Health Part A (2023) Vol. 58, Iss. 14, pp. 1047-1060
Open Access | Times Cited: 6
Membrane Technologies for Sustainable Development Goals: A Critical Review of Bright Horizons
Amaal Abdulraqeb Ali, Amani Al–Othman, Muhammad Tawalbeh, et al.
Journal of environmental chemical engineering (2024) Vol. 13, Iss. 1, pp. 114998-114998
Open Access | Times Cited: 1
Artificial Neural Network Modeling to Predict Electrical Conductivity and Moisture Content of Milk During Non-Thermal Pasteurization: New Application of Artificial Intelligence (AI) in Food Processing
Ali Wali M. Alsaedi, Asaad R. Al‐Hilphy, Azhar J. Al‐Mousawi, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2507-2507
Open Access | Times Cited: 1
Heavy metals rejection from water by CMC complexation- PVDF ultrafiltration system: Box-Behnken design optimization
M. Al‐Mutair, Rajeev Kumar, Bandar A. Al‐Mur, et al.
Research Square (Research Square) (2024)
Open Access
Machine Learning Algorithms for Predicting Membrane Bioreactors Performance: A Review
Marina Muniz de Queiroz, Victor Rezende Moreira, Míriam Cristina Santos Amaral, et al.
(2024)
Closed Access
A 5,5’‐Thiobis(thiazol‐2‐amine)‐based dithiocarbamate polymer: Straightforward synthesis and application in PVC membrane modification to enhance cadmium and dye removal
Mahmood Kamali, Mohammad Haghani, Parastoo Fely, et al.
Journal of Applied Polymer Science (2024) Vol. 141, Iss. 41
Open Access
Overcoming fouling challenges in ultrafiltration for drinking water treatment
E. F. Latif, Khaled Elmaadawy
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 042101-042101
Closed Access
Prediction of Membrane Flux in Membrane Bioreactors through Dimensionless Analysis and Correlations
Meilan Liu, Baoqiang Liao
Journal of Membrane Science (2024), pp. 123589-123589
Closed Access
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