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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:

Prediction and Interpretability of Glass Transition Temperature of Homopolymers by Data-Augmented Graph Convolutional Neural Networks
Junyang Hu, Zean Li, Jiaping Lin, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 46, pp. 54006-54017
Closed Access | Times Cited: 11

Showing 11 citing articles:

Machine Learning in Soft Matter: From Simulations to Experiments
Kaihua Zhang, Xiangrui Gong, Ying Jiang
Advanced Functional Materials (2024) Vol. 34, Iss. 24
Closed Access | Times Cited: 9
A glimpse inside materials: Polymer structure – Glass transition temperature relationship as observed by a trained artificial intelligence
Luis A. Miccio, Claudia Borredon, Gustavo A. Schwartz
Computational Materials Science (2024) Vol. 236, pp. 112863-112863
Closed Access | Times Cited: 4
The accurate prediction and further optimization of thermal conductivity for 3D fully ceramic microencapsulated fuel via graph convolutional neural network
Jianhua Hou, Zhanpeng Gong, Xiangdong Ding, et al.
Materials Today Communications (2025) Vol. 42, pp. 111557-111557
Closed Access
Machine learning analysis of a large set of homopolymers to predict glass transition temperatures
Gerardo M. Casañola‐Martín, Anas Karuth, Hai Pham‐The, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Graph-Based Modeling and Molecular Dynamics for Ion Activity Coefficient Prediction in Polymeric Ion-Exchange Membranes
Pegah Naghshnejad, Gabriela Theis Marchan, Teslim Olayiwola, et al.
(2024)
Open Access | Times Cited: 1
Graph-Based Modeling and Molecular Dynamics for Ion Activity Coefficient Prediction in Polymeric Ion-Exchange Membranes
Pegah Naghshnejad, Gabriela Theis Marchan, Teslim Olayiwola, et al.
(2024)
Open Access | Times Cited: 1
Quantitative structure-property relationship of glass transition temperatures for organic compounds
Xinliang Yu
Molecular Physics (2024)
Closed Access | Times Cited: 1
Understanding Polymers Through Transfer Learning and Explainable AI
Luis A. Miccio
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10413-10413
Open Access | Times Cited: 1
Graph-Based Modeling and Molecular Dynamics for Ion Activity Coefficient Prediction in Polymeric Ion-Exchange Membranes
Pegah Naghshnejad, Gabriela Theis Marchan, Teslim Olayiwola, et al.
Industrial & Engineering Chemistry Research (2024)
Closed Access | Times Cited: 1
Designing Heat-Resistant and Moldable Polyester Resin by the Integration of Machine Learning Models with Expert Knowledge
Fan Zhang, Tomoyuki Miyao, Yuuta Izumiya, et al.
ACS Applied Polymer Materials (2024) Vol. 6, Iss. 8, pp. 4579-4586
Open Access
Prediction of microstructural evolution of multicomponent polymers by Physics-Informed neural networks
Jiaqi An, Yanlong Ran, Jiaping Lin, et al.
Computational Materials Science (2024) Vol. 246, pp. 113502-113502
Closed Access
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