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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:

Open Macromolecular Genome: Generative Design of Synthetically Accessible Polymers
Seonghwan Kim, Charles M. Schroeder, Nicholas E. Jackson
ACS Polymers Au (2023) Vol. 3, Iss. 4, pp. 318-330
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 10
AI-assisted discovery of high-temperature dielectrics for energy storage
Rishi Gurnani, Stuti Shukla, Deepak Kamal, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Property-guided generation of complex polymer topologies using variational autoencoders
Shengli Jiang, Adji B. Dieng, Michael Webb
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
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: 7
Benchmarking Study of Deep Generative Models for Inverse Polymer Design
Tianle Yue, Lei Tao, Vikas Varshney, et al.
(2024)
Open Access | Times Cited: 5
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: 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
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: 3
Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity
Xiang Huang, Shenghong Ju
Journal of Applied Physics (2024) Vol. 135, Iss. 17
Open Access | Times Cited: 3
SMiPoly: Generation of a Synthesizable Polymer Virtual Library Using Rule-Based Polymerization Reactions
Mitsuru Ohno, Yoshihiro Hayashi, Qi Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 17, pp. 5539-5548
Open Access | Times Cited: 9
Generative BigSMILES: an extension for polymer informatics, computer simulations & ML/AI
Ludwig Schneider, Dylan J. Walsh, Bradley D. Olsen, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 51-61
Open Access | Times Cited: 9
Predicting polymerization reactions via transfer learning using chemical language models
Brenda S. Ferrari, Matteo Manica, Ronaldo Giro, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Quantifying Pairwise Similarity for Complex Polymers
Jiale Shi, Nathan Rebello, Dylan J. Walsh, et al.
Macromolecules (2023) Vol. 56, Iss. 18, pp. 7344-7357
Closed Access | Times Cited: 7
Machine Translation between BigSMILES Line Notation and Chemical Structure Diagrams
Michael E. Deagen, Bérenger Dalle-Cort, Nathan Rebello, et al.
Macromolecules (2023) Vol. 57, Iss. 1, pp. 42-53
Closed Access | Times Cited: 5
Creation of Polymer Datasets with Targeted Backbones for Screening of High-Performance Membranes for Gas Separation
Surya Prakash Tiwari, Wei Shi, Samir Budhathoki, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 638-652
Open Access | Times Cited: 1
A prospective on machine learning challenges, progress, and potential in polymer science
Daniel C. Struble, Bradley G. Lamb, Boran Ma
MRS Communications (2024) Vol. 14, Iss. 5, pp. 752-770
Open Access | Times Cited: 1
MacroSimGNN: Efficient and Accurate Calculation of Macromolecule Pairwise Similarity via Graph Neural Network
Jiale Shi, Runzhong Wang, Nathan Rebello, et al.
(2024)
Open Access | Times Cited: 1
Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics
Jeffrey M. Ting, Teresa Tamayo-Mendoza, Shannon R. Petersen, et al.
Chemical Communications (2023) Vol. 59, Iss. 96, pp. 14197-14209
Closed Access | Times Cited: 3
Generative BigSMILES: An Extension for Polymer Informatics, Computer Simulations & ML/AI
Ludwig Schneider, Dylan J. Walsh, Bradley D. Olsen, et al.
(2023)
Open Access | Times Cited: 2
Generative Foundation Model for On-demand Reverse Polymer Design
Haoke Qiu, Zhao‐Yan Sun
(2024)
Open Access
Trendbericht: Technische Chemie 2024
Jens Bremer, Lena‐Marie Ränger, Jens Friedland
Nachrichten aus der Chemie (2024) Vol. 72, Iss. 6, pp. 56-64
Open Access
On-Demand Reverse Design of Polymers with PolyTAO
Haoke Qiu, Zhao‐Yan Sun
(2024)
Open Access
Machine Learning in 3D and 4D Printing of Polymer Composites: A Review
Ivan Malashin, И С Масич, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 22, pp. 3125-3125
Open Access
Inverse design of copolymers including stoichiometry and chain architecture
Gabriel Vogel, Jana M. Weber
Chemical Science (2024)
Open Access
Transcend the boundaries: Machine learning for designing polymeric membrane materials for gas separation
Jiaxin Xu, Agboola Suleiman, Gang Liu, et al.
Chemical Physics Reviews (2024) Vol. 5, Iss. 4
Open Access
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