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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 enables interpretable discovery of innovative polymers for gas separation membranes
Jason Yang, Lei Tao, Jinlong He, et al.
Science Advances (2022) Vol. 8, Iss. 29
Open Access | Times Cited: 126

Showing 26-50 of 126 citing articles:

Exploring the Knowledge Attained by Machine Learning on Ion Transport across Polyamide Membranes Using Explainable Artificial Intelligence
Nohyeong Jeong, Razi Epsztein, Ruoyu Wang, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17851-17862
Closed Access | Times Cited: 18
Improved artificial neural networks (ANNs) for predicting the gas separation performance of polyimides
Min Zhao, Caili Zhang, Yunxuan Weng
Journal of Membrane Science (2023) Vol. 681, pp. 121765-121765
Closed Access | Times Cited: 18
Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors
Xiang Huang, Shengluo Ma, Changying Zhao, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Machine-Learning-Based Prediction of the Glass Transition Temperature of Organic Compounds Using Experimental Data
Gianluca Armeli Iapichino, Jan-Hendrik Peters, Thomas Koop
ACS Omega (2023) Vol. 8, Iss. 13, pp. 12298-12309
Open Access | Times Cited: 15
Quantitative structure-property relationship (QSPR) framework assists in rapid mining of highly Thermostable polyimides
Mengxian Yu, Yajuan Shi, Xiao Liu, et al.
Chemical Engineering Journal (2023) Vol. 465, pp. 142768-142768
Closed Access | Times Cited: 15
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
Precise prediction of CO2 separation performance of metal–organic framework mixed matrix membranes based on feature selection and machine learning
Lei Yao, Zengzeng Zhang, Yong Li, et al.
Separation and Purification Technology (2024) Vol. 349, pp. 127894-127894
Closed Access | Times Cited: 6
EXplainable Artificial Intelligence (XAI) – From Theory to Methods and Applications
Evandro S. Ortigossa, Thales Gonçalves, Luís Gustavo Nonato
IEEE Access (2024) Vol. 12, pp. 80799-80846
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-guided discovery of polymer membranes for CO2 separation with genetic algorithm
Yasemin Basdogan, Dylan R. Pollard, Tejus Shastry, et al.
Journal of Membrane Science (2024) Vol. 712, pp. 123169-123169
Closed Access | Times Cited: 6
Predictive transport modelling in polymeric gas separation membranes: From additive contributions to machine learning
Sadiye Velioğlu, H. Enis Karahan, Ş. Birgül Tantekin‐Ersolmaz
Separation and Purification Technology (2024) Vol. 340, pp. 126743-126743
Closed Access | Times Cited: 5
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
On-demand reverse design of polymers with PolyTAO
Haoke Qiu, Zhao‐Yan Sun
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Application of machine learning in polyimide structure design and property regulation
Wenjia Huo, Haiyue Wang, Liying Guo, et al.
High Performance Polymers (2025)
Closed Access
Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm
Chunhui Xie, Haoke Qiu, Lu Liu, et al.
SmartMat (2025) Vol. 6, Iss. 1
Open Access
High-efficiency water transport and boron removal in polyamide membranes enabled by surface-grafted self-assembled monolayer molecular brushes
Jinlong He, Jishan Wu, Yaxuan Yang, et al.
Journal of Membrane Science (2025), pp. 123722-123722
Closed Access
COMFO: Integrated Deep Learning Model Facilitates Discovery of Multifunctional Polyimide Materials
Bingbo Zhang, Xueqing Li, Ming Zeng, et al.
Polymer (2025), pp. 128081-128081
Closed Access
Machine Learning in Computational Design and Optimization of Disordered Nanoporous Materials
Aleksey Vishnyakov
Materials (2025) Vol. 18, Iss. 3, pp. 534-534
Open Access
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
Visualizing molecular structure—adsorption efficiency relationship through an interpretable machine learning strategy
Shaowen Li, Xinyu Mao, Xiao-Qin Cao, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2025), pp. 136400-136400
Closed Access
Smart polymers advance analytical chemistry
Yahui Zhang, Xinjia Zhao, Guangyan Qing
TrAC Trends in Analytical Chemistry (2025), pp. 118198-118198
Closed Access
Interpretable prediction of viscosity and CO2 absorption rate of amine solvents combined with molecular dynamics simulations and machine learning
H. V. Keer, Zhou Tianhang, Jiahao Liu, et al.
Chemical Engineering Science (2025), pp. 121419-121419
Closed Access
Exploring high-performance viscosity index improver polymers via high-throughput molecular dynamics and explainable AI
Rui Zhou, Luyao Bao, Weifeng Bu, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access

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