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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:

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

Showing 13 citing articles:

Machine learning advancements in organic synthesis: A focused exploration of artificial intelligence applications in chemistry
Rizvi Syed Aal E Ali, Jiaolong Meng, Muhammad Ehtisham Ibraheem Khan, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100049-100049
Open Access | Times Cited: 19
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
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
Benchmarking Study of Deep Generative Models for Inverse Polymer Design
Tianle Yue, Lei Tao, Vikas Varshney, et al.
(2024)
Open Access | Times Cited: 5
Discovering polyimides and their composites with targeted mechanical properties through explainable machine learning
Weilong Hu, E Jing, Haoke Qiu, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open 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
Interpretable Machine Learning Combined TD-DFT Calculations for the Study of Colorless Transparency Polyimides
Xu Li, Haoyu Yang, Tao Yong-hong, et al.
Macromolecules (2025)
Closed Access
Nanomechanical investigation of deformation behavior of π–π stacked helical polymers
Yuri Jeon, Byeonghwa Goh, Joonmyung Choi
International Journal of Mechanical Sciences (2025), pp. 110100-110100
Closed Access
High-Throughput Screening and Prediction of Nucleophilicity of Amines Using Machine Learning and DFT Calculations
Xu Li, Haoliang Zhong, Haoyu Yang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6361-6368
Closed Access | Times Cited: 2
Accelerating Polymer Discovery with Uncertainty-Guided PGCNN: Explainable AI for Predicting Properties and Mechanistic Insights
Shuyu Wang, Hongxing Yue, Xiaoming Yuan
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5500-5509
Closed Access | Times Cited: 1
Machine Learning-Based High-Throughput Screening for High-Stability Polyimides
Gaoyang Luo, Feicheng Huan, Yuwei Sun, et al.
Industrial & Engineering Chemistry Research (2024)
Closed Access | Times Cited: 1
Tuning the Mechanical and Dynamic Properties of Elastic Vitrimers by Tailoring the Substituents of Boronic Ester
Zoriana Demchuk, Xiao Zhao, Zhiqiang Shen, et al.
ACS Materials Au (2023) Vol. 4, Iss. 2, pp. 185-194
Open Access | Times Cited: 3
Machine Learning for Polymer Informatics
Ying Li, Tianle Yue
ACS in focus (2024)
Closed Access
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