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:
Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques
Bashar Ismael, Faidhalrahman Khaleel, Salah S. Ibrahim, et al.
Membranes (2023) Vol. 13, Iss. 12, pp. 900-900
Open Access | Times Cited: 6
Bashar Ismael, Faidhalrahman Khaleel, Salah S. Ibrahim, et al.
Membranes (2023) Vol. 13, Iss. 12, pp. 900-900
Open Access | Times Cited: 6
Showing 6 citing articles:
Towards greener futures: SVR-based CO2 prediction model boosted by SCMSSA algorithm
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e31766-e31766
Open Access | Times Cited: 8
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e31766-e31766
Open Access | Times Cited: 8
Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module design of water desalination system
Osman Shamet, Sani I. Abba, Jamil Usman, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105835-105835
Closed Access | Times Cited: 3
Osman Shamet, Sani I. Abba, Jamil Usman, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105835-105835
Closed Access | Times Cited: 3
An in-depth analysis of membrane distillation research (1990–2023): Exploring trends and future directions through bibliometric approach
Ali Boubakri, Sarra Elgharbi, S. Bouguecha, et al.
Journal of Environmental Management (2024) Vol. 367, pp. 121942-121942
Closed Access | Times Cited: 2
Ali Boubakri, Sarra Elgharbi, S. Bouguecha, et al.
Journal of Environmental Management (2024) Vol. 367, pp. 121942-121942
Closed Access | Times Cited: 2
Development of novel computational models based on artificial intelligence technique to predict liquids mixtures separation via vacuum membrane distillation
Yanfen Wei
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Yanfen Wei
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access
Influence of membrane characteristics and operational parameters on predictive control of permeance and rejection rate using explainable artificial intelligence (XAI)
Abdulhayat M. Jibrin, Imtiaz Afzal Khan, Abba Bashir, et al.
Next research. (2024) Vol. 2, Iss. 1, pp. 100100-100100
Closed Access
Abdulhayat M. Jibrin, Imtiaz Afzal Khan, Abba Bashir, et al.
Next research. (2024) Vol. 2, Iss. 1, pp. 100100-100100
Closed Access
