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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:

Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions
Evan R. Antoniuk, Peggy Li, Bhavya Kailkhura, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 22, pp. 5435-5445
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Machine Learning-Assisted Design of Advanced Polymeric Materials
Liang Gao, Jiaping Lin, Liquan Wang, et al.
Accounts of Materials Research (2024) Vol. 5, Iss. 5, pp. 571-584
Open Access | Times Cited: 15
Polymer Informatics at Scale with Multitask Graph Neural Networks
Rishi Gurnani, Christopher Kuenneth, Aubrey Toland, et al.
Chemistry of Materials (2023) Vol. 35, Iss. 4, pp. 1560-1567
Open Access | Times Cited: 35
Estimation and Prediction of the Polymers’ Physical Characteristics Using the Machine Learning Models
Ivan Malashin, В С Тынченко, Vladimir A. Nelyub, et al.
Polymers (2023) Vol. 16, Iss. 1, pp. 115-115
Open Access | Times Cited: 30
Heat-Resistant Polymer Discovery by Utilizing Interpretable Graph Neural Network with Small Data
Haoke Qiu, Jingying Wang, Xuepeng Qiu, et al.
Macromolecules (2024) Vol. 57, Iss. 8, pp. 3515-3528
Closed Access | Times Cited: 12
Predicting polymer solubility from phase diagrams to compatibility: a perspective on challenges and opportunities
Jeffrey G. Ethier, Evan R. Antoniuk, Blair Brettmann
Soft Matter (2024) Vol. 20, Iss. 29, pp. 5652-5669
Open Access | Times Cited: 8
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
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: 7
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
PolyNC: a natural and chemical language model for the prediction of unified polymer properties
Haoke Qiu, Lunyang Liu, Xuepeng Qiu, et al.
Chemical Science (2023) Vol. 15, Iss. 2, pp. 534-544
Open Access | Times Cited: 15
Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows
Erin C. Day, Supraja S. Chittari, Matthew P. Bogen, et al.
ACS Polymers Au (2023) Vol. 3, Iss. 6, pp. 406-427
Open Access | Times Cited: 14
Polyhydroxyalkanoates in emerging recycling technologies for a circular materials economy
Ryan W. Clarke, Gloria Rosetto, Taylor Uekert, et al.
Materials Advances (2024) Vol. 5, Iss. 17, pp. 6690-6701
Open Access | Times Cited: 5
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
Jiale Shi, Dylan J. Walsh, Weizhong Zou, et al.
ACS Polymers Au (2024) Vol. 4, Iss. 1, pp. 66-76
Open Access | Times Cited: 4
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
Polymer Property Prediction Using Machine Learning
Vijith Parambil, U.K. Tripathi, H. C. Goyal, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 119-147
Closed Access
Quantitative Structure–Property Relationships (QSPR) for Materials Science
Silvina E. Fioressi, Daniel E. Bacelo, Pablo R. Duchowicz
Challenges and advances in computational chemistry and physics (2025), pp. 61-79
Closed Access
Scaling law-informed machine learning for predicting thermal and electrical properties of polymers: A physics-based approach
Han Xu, Xuexian Yu, Jun Liu, et al.
Computational Materials Science (2025) Vol. 253, pp. 113887-113887
Closed Access
Unified Multimodal Multidomain Polymer Representation for Property Prediction
Qi Huang, Yedi Li, Lei Zhu, et al.
(2025)
Closed Access
Graph Neural Networks for Surface Tension Prediction of Polymers: A Comparative Analysis with Descriptor-Based Models
Javad Tamnanloo, Abdol Hadi Mokarizadeh, Farzad Toiserkani, et al.
Macromolecules (2025)
Closed Access
Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language
Nathaniel H. Park, Matteo Manica, Jannis Born, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Augmenting Polymer Datasets by Iterative Rearrangement
Stanley Lo, Martin Seifrid, Théophile Gaudin, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 14, pp. 4266-4276
Closed Access | Times Cited: 11
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
Enhancing Copolymer Property Prediction through the Weighted-Chained-SMILES Machine Learning Framework
Qi Huang, Zuowei Chen, Ziwei Lin, et al.
ACS Applied Polymer Materials (2024) Vol. 6, Iss. 7, pp. 3666-3675
Open Access | Times Cited: 4
Polymer expert – A software tool for de novo polymer design
Jozef Bicerano, David L. Rigby, C. M. Freeman, et al.
Computational Materials Science (2024) Vol. 235, pp. 112810-112810
Open Access | Times Cited: 3
Machine learning-based discovery of molecular descriptors that control polymer gas permeation
Tejus Shastry, Yasemin Basdogan, Zhen‐Gang Wang, et al.
Journal of Membrane Science (2024) Vol. 697, pp. 122563-122563
Closed Access | Times Cited: 3
Leveraging data‐driven strategy for accelerating the discovery of polyesters with targeted glass transition temperatures
Xiaoying He, Mengxian Yu, Jian‐Peng Han, et al.
AIChE Journal (2024) Vol. 70, Iss. 6
Open Access | Times Cited: 3
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