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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:

Multi-scale design of MOF-based membrane separation for CO2/CH4 mixture via integration of molecular simulation, machine learning and process modeling and simulation
Xi Cheng, Yangyanbing Liao, Lei Zhao, et al.
Journal of Membrane Science (2023) Vol. 672, pp. 121430-121430
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Membranes for CO2 capture and separation: Progress in research and development for industrial applications
Zhongde Dai, Liyuan Deng
Separation and Purification Technology (2023) Vol. 335, pp. 126022-126022
Closed Access | Times Cited: 51
Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks
Hossein Mashhadimoslem, Mohammad Ali Abdol, Peyman Karimi, et al.
ACS Nano (2024) Vol. 18, Iss. 35, pp. 23842-23875
Closed Access | Times Cited: 11
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
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
Interactions between absorbed components of various CO2/N2 mixtures over MOF-5: Molecular dynamics simulation and density functional theory calculation
Wenchuan Liu, Lei Li, Jie Liu, et al.
Separation and Purification Technology (2025), pp. 131646-131646
Closed Access
Emerging innovations in rubbery polymeric membranes for CO2 separation: A review
Wei Li Ong, Wai Fen Yong
Progress in Materials Science (2025), pp. 101454-101454
Closed Access
Combining computational screening and machine learning to explore MOFs and COFs for methane purification
Hasan Can Gülbalkan, Alper Uzun, Seda Keskın
Applied Physics Letters (2024) Vol. 124, Iss. 20
Open Access | Times Cited: 5
Interpretable Machine learning model for predicting Ethane-Ethylene composition in binary distillation process
Suhailam Pullanikkattil, Raju Yerolla, Chandra Shekar Besta
Thermal Science and Engineering Progress (2025) Vol. 58, pp. 103236-103236
Closed Access
Continuous MOFs gutter layer promoting ultrathin TFCMs for enhanced CO2 separation
Yingnan Ma, Na liu, Yulu Zhang, et al.
Journal of environmental chemical engineering (2025), pp. 116087-116087
Closed Access
Comprehensive insights into molecular simulation-driven advances in functional materials for pollutant mitigation
Iman Salahshoori, Majid Namayandeh Jorabchi, Morteza Asghari, et al.
Coordination Chemistry Reviews (2025) Vol. 534, pp. 216580-216580
Closed Access
Fast and accurate calculation on CO2/CH4 competitive adsorption in shale nanopores: From molecular kinetic theory to machine learning model
MengCheng Huang, Hao Yu, HengYu Xu, et al.
Chemical Engineering Journal (2023) Vol. 474, pp. 145562-145562
Closed Access | Times Cited: 12
The rise of the machines: A state-of-the-art technical review on process modelling and machine learning within hydrogen production with carbon capture
William George Davies, Shervan Babamohammadi, Yang Yang, et al.
Gas Science and Engineering (2023) Vol. 118, pp. 205104-205104
Open Access | Times Cited: 12
A New Era of Modeling MOF‐Based Membranes: Cooperation of Theory and Data Science
Hakan Demir, Seda Keskın
Macromolecular Materials and Engineering (2023) Vol. 309, Iss. 1
Open Access | Times Cited: 11
Development of advanced hybrid computational model for description of molecular separation in liquid phase via polymeric membranes
Yuanyuan Ding, Yinde Jin
Journal of Molecular Liquids (2024) Vol. 396, pp. 123999-123999
Closed Access | Times Cited: 3
Synthesis of hydrophobic CuCl/LaA modified by butyltrichlorosilane towards enhanced CO adsorption under humid environment
Qiang Guo, Yu Qiao, Yonghou Xiao, et al.
Applied Surface Science (2024) Vol. 659, pp. 159882-159882
Closed Access | Times Cited: 3
Crown Ether Nanopores in Graphene Membranes for Highly Efficient CO2/CH4 and CO2/CO Separation: A Theoretical Study
Tian Wang, Shuming Zeng, Zonglin Gu
ACS Applied Nano Materials (2023) Vol. 6, Iss. 13, pp. 12372-12380
Closed Access | Times Cited: 9
Application of machine learning in MOFs for gas adsorption and separation
Chao Yang, Jingjing Qi, Anquan Wang, et al.
Materials Research Express (2023) Vol. 10, Iss. 12, pp. 122001-122001
Open Access | Times Cited: 9
Accelerated Discovery of CO2 Solid Sorbents Using Active Machine Learning: Review and Perspectives
Deyang Xu, Jing Yang, Zhaoxiang Xu, et al.
Energy & Fuels (2024)
Closed Access | Times Cited: 2
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: 2
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: 2
Machine learning insights into predicting biogas separation in metal-organic frameworks
Isabel Cooley, Samuel Boobier, Jonathan D. Hirst, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Development of Mixed Matrix Membranes by Using NH2‐Functionalized UiO‐66 and [APTMS][AC] Ionic Liquid for the Separation of CO2
Hafiza Mamoona Khalid, Afshan Mujahid, Asif Ali, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Annual progress in global carbon capture, utilization, and storage in 2023
Siyuan Fang, Yun Hang Hu
Energy Science & Engineering (2024) Vol. 12, Iss. 9, pp. 3967-3981
Open Access | Times Cited: 1
Inverse Design of ZIFs through Artificial Intelligence Methods
Panagiotis Krokidas, M.E. Kainourgiakis, Theodore Steriotis, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 39, pp. 25314-25318
Open Access | Times Cited: 1
Evaluating CH4/N2 Separation Performances of Hundreds of Thousands of Real and Hypothetical MOFs by Harnessing Molecular Modeling and Machine Learning
Hasan Can Gülbalkan, Alper Uzun, Seda Keskın
ACS Applied Materials & Interfaces (2023)
Open Access | Times Cited: 4
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