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:
Machine learning-guided discovery of polymer membranes for CO2
Yasemin Basdogan, Dylan R. Pollard, Tejus Shastry, et al.
Journal of Membrane Science (2024) Vol. 712, pp. 123169-123169
Closed Access | Times Cited: 6
Yasemin Basdogan, Dylan R. Pollard, Tejus Shastry, et al.
Journal of Membrane Science (2024) Vol. 712, pp. 123169-123169
Closed Access | Times Cited: 6
Showing 6 citing articles:
Machine Learning in Computational Design and Optimization of Disordered Nanoporous Materials
Aleksey Vishnyakov
Materials (2025) Vol. 18, Iss. 3, pp. 534-534
Open Access | Times Cited: 1
Aleksey Vishnyakov
Materials (2025) Vol. 18, Iss. 3, pp. 534-534
Open Access | Times Cited: 1
Machine Learning in Polymer Research
Wei Ge, R. Silva‐González, Yanan Fan, et al.
Advanced Materials (2025)
Open Access | Times Cited: 1
Wei Ge, R. Silva‐González, Yanan Fan, et al.
Advanced Materials (2025)
Open Access | Times Cited: 1
Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
Raghav Dangayach, Nohyeong Jeong, Elif Demirel, et al.
Environmental Science & Technology (2024)
Open Access | Times Cited: 5
Raghav Dangayach, Nohyeong Jeong, Elif Demirel, et al.
Environmental Science & Technology (2024)
Open Access | Times Cited: 5
Molecular separation applications of next-generation graphene oxide composite membranes with enhanced properties: Current status and future prospects
Huan Li, Yang Lv, Zhishu Tang, et al.
Separation and Purification Technology (2024) Vol. 358, pp. 130451-130451
Closed Access | Times Cited: 4
Huan Li, Yang Lv, Zhishu Tang, et al.
Separation and Purification Technology (2024) Vol. 358, pp. 130451-130451
Closed Access | Times Cited: 4
Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends
Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, et al.
Journal of CO2 Utilization (2025) Vol. 93, pp. 103052-103052
Open Access
Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, et al.
Journal of CO2 Utilization (2025) Vol. 93, pp. 103052-103052
Open Access
Transcend the boundaries: Machine learning for designing polymeric membrane materials for gas separation
Jiaxin Xu, Agboola Suleiman, Gang Liu, et al.
Chemical Physics Reviews (2024) Vol. 5, Iss. 4
Open Access
Jiaxin Xu, Agboola Suleiman, Gang Liu, et al.
Chemical Physics Reviews (2024) Vol. 5, Iss. 4
Open Access
