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:
Module-based machine learning models using sigma profiles of organic linkers to predict gaseous adsorption in metal-organic frameworks
Y. S. Cheng, I-Ting Sung, Chieh‐Ming Hsieh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105728-105728
Closed Access | Times Cited: 6
Y. S. Cheng, I-Ting Sung, Chieh‐Ming Hsieh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105728-105728
Closed Access | Times Cited: 6
Showing 6 citing articles:
Machine Learning for Gas Adsorption in Metal–Organic Frameworks: A Review on Predictive Descriptors
I-Ting Sung, Y. S. Cheng, Chieh‐Ming Hsieh, et al.
Industrial & Engineering Chemistry Research (2025)
Open Access
I-Ting Sung, Y. S. Cheng, Chieh‐Ming Hsieh, et al.
Industrial & Engineering Chemistry Research (2025)
Open Access
Unveiling Cutting-edge progress in coordination chemistry of the Metal-Organic frameworks (MOFs) and their Composites: Fundamentals, synthesis Strategies, electrochemical and environmental applications
Valentine Chikaodili Anadebe, Abhinay Thakur, Chandrabhan Verma, et al.
Journal of Industrial and Engineering Chemistry (2025)
Closed Access
Valentine Chikaodili Anadebe, Abhinay Thakur, Chandrabhan Verma, et al.
Journal of Industrial and Engineering Chemistry (2025)
Closed Access
Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review
Banza Jean Claude, Linda L. Sibali
Journal of Environmental Science and Health Part A (2025), pp. 1-16
Open Access
Banza Jean Claude, Linda L. Sibali
Journal of Environmental Science and Health Part A (2025), pp. 1-16
Open Access
Machine learning predicts properties of hydrochar derived from digestate
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105862-105862
Closed Access | Times Cited: 1
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105862-105862
Closed Access | Times Cited: 1
Advancing Vapor Pressure Prediction: A Machine Learning Approach with Directed Message Passing Neural Networks
Yen-Hsiang Lin, Hsin-Hao Liang, Shiang‐Tai Lin, et al.
(2024)
Open Access | Times Cited: 1
Yen-Hsiang Lin, Hsin-Hao Liang, Shiang‐Tai Lin, et al.
(2024)
Open Access | Times Cited: 1
Bibliometric insights into metal-organic frameworks modified with metal-based materials for hydrogen storage: Prospects, opportunities and challenges
Bashir Abubakar Abdulkadir, Herma Dina Setiabudi
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105893-105893
Closed Access
Bashir Abubakar Abdulkadir, Herma Dina Setiabudi
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105893-105893
Closed Access
Advancing vapor pressure prediction: A machine learning approach with directed message passing neural networks
Yen-Hsiang Lin, Hsin-Hao Liang, Shiang‐Tai Lin, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024), pp. 105926-105926
Closed Access
Yen-Hsiang Lin, Hsin-Hao Liang, Shiang‐Tai Lin, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024), pp. 105926-105926
Closed Access
