
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
Jason Yang, Lei Tao, Jinlong He, et al.
Science Advances (2022) Vol. 8, Iss. 29
Open Access | Times Cited: 126
Showing 1-25 of 126 citing articles:
Emerging Trends in Machine Learning: A Polymer Perspective
Tyler B. Martin, Debra J. Audus
ACS Polymers Au (2023) Vol. 3, Iss. 3, pp. 239-258
Open Access | Times Cited: 74
Tyler B. Martin, Debra J. Audus
ACS Polymers Au (2023) Vol. 3, Iss. 3, pp. 239-258
Open Access | Times Cited: 74
Polymeric membranes for industrial applications: Recent progress, challenges and perspectives
Sachin Karki, Gauri Hazarika, Diksha Yadav, et al.
Desalination (2023) Vol. 573, pp. 117200-117200
Closed Access | Times Cited: 69
Sachin Karki, Gauri Hazarika, Diksha Yadav, et al.
Desalination (2023) Vol. 573, pp. 117200-117200
Closed Access | Times Cited: 69
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
Zhongde Dai, Liyuan Deng
Separation and Purification Technology (2023) Vol. 335, pp. 126022-126022
Closed Access | Times Cited: 51
Rethinking the pathway to sustainable fire retardants
Jiabing Feng, Lei Liu, Yan Zhang, et al.
Exploration (2023) Vol. 3, Iss. 4
Open Access | Times Cited: 44
Jiabing Feng, Lei Liu, Yan Zhang, et al.
Exploration (2023) Vol. 3, Iss. 4
Open Access | Times Cited: 44
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 20
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 20
Design of functional and sustainable polymers assisted by artificial intelligence
Tran Doan Huan, Rishi Gurnani, Chiho Kim, et al.
Nature Reviews Materials (2024) Vol. 9, Iss. 12, pp. 866-886
Closed Access | Times Cited: 18
Tran Doan Huan, Rishi Gurnani, Chiho Kim, et al.
Nature Reviews Materials (2024) Vol. 9, Iss. 12, pp. 866-886
Closed Access | Times Cited: 18
Machine Learning in Membrane Design: From Property Prediction to AI-Guided Optimization
Zhonglin Cao, Omid Barati Farimani, Janghoon Ock, et al.
Nano Letters (2024) Vol. 24, Iss. 10, pp. 2953-2960
Open Access | Times Cited: 15
Zhonglin Cao, Omid Barati Farimani, Janghoon Ock, et al.
Nano Letters (2024) Vol. 24, Iss. 10, pp. 2953-2960
Open Access | Times Cited: 15
Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane‐Based Gas Separation: Synergizing Physics‐Informed Performance Metrics and Active Learning
Mao Wang, Jianwen Jiang
Advanced Functional Materials (2024) Vol. 34, Iss. 23
Open Access | Times Cited: 14
Mao Wang, Jianwen Jiang
Advanced Functional Materials (2024) Vol. 34, Iss. 23
Open Access | Times Cited: 14
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
An Li, Jianchun Chu, Shaoxuan Huang, et al.
Carbon Capture Science & Technology (2025) Vol. 14, pp. 100374-100374
Closed Access | Times Cited: 1
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
Lei Tao, Jinlong He, Tom Arbaugh, et al.
Journal of Membrane Science (2022) Vol. 665, pp. 121131-121131
Open Access | Times Cited: 44
A review on the application of molecular descriptors and machine learning in polymer design
Yuankai Zhao, Roger J. Mulder, Shadi Houshyar, et al.
Polymer Chemistry (2023) Vol. 14, Iss. 29, pp. 3325-3346
Closed Access | Times Cited: 34
Yuankai Zhao, Roger J. Mulder, Shadi Houshyar, et al.
Polymer Chemistry (2023) Vol. 14, Iss. 29, pp. 3325-3346
Closed Access | Times Cited: 34
Predicting Extraction Selectivity of Acetic Acid in Pervaporation by Machine Learning Models with Data Leakage Management
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 14, pp. 5934-5946
Closed Access | Times Cited: 31
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 14, pp. 5934-5946
Closed Access | Times Cited: 31
Machine learning exploration of the mobility and environmental assessment of toxic elements in mining-associated solid wastes
Chongchong Qi, Mengting Wu, Hui Liu, et al.
Journal of Cleaner Production (2023) Vol. 401, pp. 136771-136771
Closed Access | Times Cited: 30
Chongchong Qi, Mengting Wu, Hui Liu, et al.
Journal of Cleaner Production (2023) Vol. 401, pp. 136771-136771
Closed Access | Times Cited: 30
Molecular mechanisms of thickness-dependent water desalination in polyamide reverse-osmosis membranes
Jinlong He, Tom Arbaugh, Thanh Danh Nguyen, et al.
Journal of Membrane Science (2023) Vol. 674, pp. 121498-121498
Open Access | Times Cited: 25
Jinlong He, Tom Arbaugh, Thanh Danh Nguyen, et al.
Journal of Membrane Science (2023) Vol. 674, pp. 121498-121498
Open Access | Times Cited: 25
Deep learning aided inverse design of the buckling-guided assembly for 3D frame structures
Tianqi Jin, Xu Cheng, Shiwei Xu, et al.
Journal of the Mechanics and Physics of Solids (2023) Vol. 179, pp. 105398-105398
Closed Access | Times Cited: 24
Tianqi Jin, Xu Cheng, Shiwei Xu, et al.
Journal of the Mechanics and Physics of Solids (2023) Vol. 179, pp. 105398-105398
Closed Access | Times Cited: 24
Data-driven predictions of complex organic mixture permeation in polymer membranes
Young‐Joo Lee, Lihua Chen, Janhavi Nistane, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Young‐Joo Lee, Lihua Chen, Janhavi Nistane, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
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
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
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 8
Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Machine Learning for Prediction and Synthesis of Anion Exchange Membranes
Yongjiang Yuan, Pengda Fang, Han Yuan, et al.
Accounts of Materials Research (2025)
Closed Access
Yongjiang Yuan, Pengda Fang, Han Yuan, et al.
Accounts of Materials Research (2025)
Closed Access
MOF membranes for gas separations
Yiming Zhang, Hang Yin, Lingzhi Huang, et al.
Progress in Materials Science (2025), pp. 101432-101432
Closed Access
Yiming Zhang, Hang Yin, Lingzhi Huang, et al.
Progress in Materials Science (2025), pp. 101432-101432
Closed Access
Applications of Predictive Modeling for Polymers
Fangyou Yan, Jiayi Zhu, Xiaojie Feng, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 149-173
Closed Access
Fangyou Yan, Jiayi Zhu, Xiaojie Feng, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 149-173
Closed Access
Machine Learning Applications in Polymer Informatics—An Overview
Kritika Pandey, Neeraj Tiwari, Terry-Elinor Reid, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 67-83
Closed Access
Kritika Pandey, Neeraj Tiwari, Terry-Elinor Reid, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 67-83
Closed Access
Machine‐Learning‐Accelerated Development of Efficient Mixed Protonic–Electronic Conducting Oxides as the Air Electrodes for Protonic Ceramic Cells
Ning Wang, Baoyin Yuan, Chunmei Tang, et al.
Advanced Materials (2022) Vol. 34, Iss. 51
Closed Access | Times Cited: 29
Ning Wang, Baoyin Yuan, Chunmei Tang, et al.
Advanced Materials (2022) Vol. 34, Iss. 51
Closed Access | Times Cited: 29
Design of polyimides with targeted glass transition temperature using a graph neural network
Haoke Qiu, Xuepeng Qiu, Xuemin Dai, et al.
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 8, pp. 2930-2940
Closed Access | Times Cited: 18
Haoke Qiu, Xuepeng Qiu, Xuemin Dai, et al.
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 8, pp. 2930-2940
Closed Access | Times Cited: 18