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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 neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment
Saja Mohsen Alardhi, Ali Dawood Salman, Sura Jasem Mohammed Breig, et al.
Journal of Industrial and Engineering Chemistry (2024) Vol. 133, pp. 599-613
Closed Access | Times Cited: 14

Showing 14 citing articles:

Comprehensive Review of Mesoporous Silica Nanoparticles: Drug Loading, Release, and Applications as Hemostatic Agents
Talib M. Albayati, Saja Mohsen Alardhi, Ali H. Khalbas, et al.
ChemistrySelect (2024) Vol. 9, Iss. 23
Closed Access | Times Cited: 28
Optimization and Modeling of Simultaneous Removal of Reactive Violet 5 and Acid Red 98 Using Bimetallic Copper-Zero-Valent Iron Nanoparticles Supported on Biopolymer Chitosan Based on a Central Composite Design and Artificial Neural Network
Fahimehsadat Mostafavi Neishaboori, Mahmoud Reza Sohrabi, Fereshteh Motiee, et al.
Journal of Polymers and the Environment (2025)
Closed Access | Times Cited: 1
Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants
Rajesh Mahadeva, Mahendra Kumar, Anjali Diwan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34132-e34132
Open Access | Times Cited: 4
Recent progress in highly effective electrocoagulation-coupled systems for advanced wastewater treatment
Thi Kim Cuong Phu, Phi Long Nguyen, Thi Viet Bac Phung
iScience (2025) Vol. 28, Iss. 3, pp. 111965-111965
Open Access
Insights into Synthesis and Optimization Features of Reverse Osmosis Membrane Using Machine Learning
Weimin Gao, Guang Wang, Junguo Li, et al.
Materials (2025) Vol. 18, Iss. 4, pp. 840-840
Open Access
Optimized removal of hexavalent chromium and Acid Blue 113 using functional magnetic nanoparticle/clay nanocomposites: Equilibrium study and statistical physics insights
Abdelali Aboussabek, Latifa Boukarma, Rachid Aziam, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107343-107343
Closed Access
Optimisation of process parameters for lignocellulosic biomass degradation by Pseudomonas sp. using response surface methodology
Sunder, Sangita Yadav, Jitender Pal
International Journal of Biological Macromolecules (2025) Vol. 309, pp. 142792-142792
Closed Access
Understanding membrane fouling in pressure-driven and thermal-driven processes for brines applications: challenges, mechanisms, characterization, mitigation strategies, and future perspectives
Pra Cipta Buana Wahyu Mustika, Putu Doddy Sutrisna, Sutijan Sutijan, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107631-107631
Closed Access
RSM and ANN Comparative Modelling with a Granulation Treatment in Mixed Waters
Celina Sanchez‐Sanchez, Juan Morales‐Rivera, Gabriela Chávez, et al.
Chemical Engineering & Technology (2024) Vol. 47, Iss. 8, pp. 1148-1156
Closed Access | Times Cited: 2
Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field
Saja Mohsen Alardhi, Noor Mohsen Jabbar, Sura Jasem Mohammed Breig, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 8, pp. 3330-3349
Closed Access | Times Cited: 2
Incorporation of OA-APTES-MWCNTs into PS/PVP membranes for VMD desalination: Membrane composition optimization via Box–Behnken method
Mitra Bahrami Eynolghasi, Foroogh Khodadadi, Toraj Mohammadi, et al.
Journal of Industrial and Engineering Chemistry (2024)
Closed Access | Times Cited: 1
A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems.
Mahmoud Ibnouf, Hadi Jaber, Hadil Abu Khalifeh, et al.
Desalination and Water Treatment (2024) Vol. 321, pp. 100892-100892
Open Access | Times Cited: 1
Response surface methodology for optimizing crude oil desalting unit performance in iraq
Saja Mohsen Alardhi, Ali M. Mohsen, Sura Jasem Mohammed Breig, et al.
Chemical Papers (2024) Vol. 78, Iss. 17, pp. 9091-9102
Closed Access
Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access
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