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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:

Machine learning prediction on the fractional free volume of polymer membranes
Lei Tao, Jinlong He, Tom Arbaugh, et al.
Journal of Membrane Science (2022) Vol. 665, pp. 121131-121131
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Machine learning-assisted development of gas separation membranes: A review
An Li, Jianchun Chu, Shaoxuan Huang, et al.
Carbon Capture Science & Technology (2025) Vol. 14, pp. 100374-100374
Closed Access | Times Cited: 1
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
A systematic study of the relationship between the high-frequency dielectric dissipation factor and water adsorption of polyimide films
Runxin Bei, Kaijin Chen, Yanwei He, et al.
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 30, pp. 10274-10281
Closed Access | Times Cited: 27
Advances in data‐assisted high‐throughput computations for material design
Dingguo Xu, Qiao Zhang, Xiangyu Huo, et al.
Materials Genome Engineering Advances (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 25
Exploring advanced materials: Harnessing the synergy of inverse gas chromatography and artificial vision intelligence
Praveen Kumar Basivi, Tayssir Hamieh, Vijay Kakani, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 173, pp. 117655-117655
Closed Access | Times Cited: 10
Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10128-10139
Closed Access | Times Cited: 9
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
Machine learning and molecular design algorithm assisted discovery of gas separation membranes exceeding the CO2/CH4 and CO2/N2 upper bounds
Li Chen, Guihua Liu, Zisheng Zhang, et al.
Chemical Engineering Science (2024) Vol. 291, pp. 119952-119952
Closed Access | Times Cited: 6
AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers
Xiang Huang, Changying Zhao, Hong Wang, et al.
Materials Today Physics (2024) Vol. 44, pp. 101438-101438
Open Access | Times Cited: 6
Molecular simulations elucidate the transport mechanisms of organic solvents in dense polymer membranes
Jinlong He, Hanqing Fan, Menachem Elimelech, et al.
Journal of Membrane Science (2024) Vol. 708, pp. 123055-123055
Closed Access | Times Cited: 6
Machine learning – Driven surface grafting of thin-film composite reverse osmosis (TFC-RO) membrane
Arash Tayyebi, Ali Alshami, Erfan Tayyebi, et al.
Desalination (2024) Vol. 579, pp. 117502-117502
Closed Access | Times Cited: 5
The decontaminant mechanism of polyamide membranes for sulfamethoxazole: The insights from combined machine learning and molecular modelling
Zihang Zhao, Dan Lu, Ming Wu, et al.
Chemical Engineering Science (2025), pp. 121293-121293
Closed Access
Role of dispersion nanostructure for bubble dissolution under pressure
Ivan Lesov, Hristo Alexandrov, Б. А. Иванов, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2025), pp. 136443-136443
Open Access
Generalized Model for Predicting Gas Permeability of Glassy Polymers and Residual Neural Networks as a Tool for Its Improvement
D. A. Tsarev, В. Е. Рыжих, Н. Н. Белов, et al.
Polymer Science Series C (2025)
Closed Access
High-Throughput Screening and Prediction of High Modulus of Resilience Polymers Using Explainable Machine Learning
Tianle Yue, Jinlong He, Lei Tao, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 14, pp. 4641-4653
Closed Access | Times Cited: 13
Thermal properties and mechanical behavior of functionalized carbon nanotube-filled polypropylene composites using molecular dynamics simulation
Yifan Guo, Danfeng Zhang, Xiaoxing Zhang, et al.
Materials Today Communications (2023) Vol. 37, pp. 107510-107510
Closed Access | Times Cited: 12
PXLink: A simulation program of polymer crosslinking to study of polyamide membrane
Chi Zhang, Guangle Bu, Md Symon Jahan Sajib, et al.
Computer Physics Communications (2023) Vol. 291, pp. 108840-108840
Open Access | Times Cited: 11
Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity
Xiang Huang, Shenghong Ju
Journal of Applied Physics (2024) Vol. 135, Iss. 17
Open Access | Times Cited: 3
Sustainable Revolution: AI-Driven Enhancements for Composite Polymer Processing and Optimization in Intelligent Food Packaging
Sana Yakoubi
Food and Bioprocess Technology (2024)
Closed Access | Times Cited: 3
The study of curing behavior and thermo-mechanical properties of epoxy adhesives with different anhydrides
Sheng Qi, Qionghai Chen, Weiwen Gu, et al.
Polymer (2024) Vol. 307, pp. 127342-127342
Closed Access | Times Cited: 3
Poly(ether-ether-ketone) copolymers featuring sulfonyl moieties for organic solvent nanofiltration membranes
Nawader Alqadhi, Diana Gulyas Oldal, Karuppasamy Gopalsamy, et al.
Separation and Purification Technology (2024) Vol. 355, pp. 129628-129628
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 for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration
Chen Wang, Li Wang, Hanwei Yu, et al.
Chemosphere (2023) Vol. 350, pp. 140999-140999
Closed Access | Times Cited: 6
Metal-organic frameworks-membranes for energy intensive liquid separation
Usman Shareef, Ali A. Rownaghi
Separation and Purification Technology (2023) Vol. 330, pp. 125173-125173
Closed Access | Times Cited: 5
Unifying mixed gas adsorption in molecular sieve membranes and MOFs using machine learning
Subhadeep Dasgupta, Amal R.S., Prabal K. Maiti
Separation and Purification Technology (2024) Vol. 353, pp. 128477-128477
Closed Access | Times Cited: 1
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