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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:

New Opportunity: Machine Learning for Polymer Materials Design and Discovery
Pengcheng Xu, Huimin Chen, Minjie Li, et al.
Advanced Theory and Simulations (2022) Vol. 5, Iss. 5
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Small data machine learning in materials science
Pengcheng Xu, Xiaobo Ji, Minjie Li, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 228
Data-Driven Design of Polymer-Based Biomaterials: High-throughput Simulation, Experimentation, and Machine Learning
Roshan Patel, Michael Webb
ACS Applied Bio Materials (2023) Vol. 7, Iss. 2, pp. 510-527
Closed Access | Times Cited: 40
Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure
Dylan J. Walsh, Weizhong Zou, Ludwig Schneider, et al.
ACS Central Science (2023) Vol. 9, Iss. 3, pp. 330-338
Open Access | Times Cited: 39
3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications
S. A. V. Dananjaya, Venkata S. Chevali, John P. Dear, et al.
Progress in Materials Science (2024) Vol. 146, pp. 101336-101336
Open Access | Times Cited: 19
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: 17
Machine Learning Aided Design and Optimization of Thermal Metamaterials
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, et al.
Chemical Reviews (2024) Vol. 124, Iss. 7, pp. 4258-4331
Open Access | Times Cited: 17
The Rise of Machine Learning in Polymer Discovery
Cheng Yan, Guoqiang Li
Advanced Intelligent Systems (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 34
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: 29
Methods, progresses, and opportunities of materials informatics
Chen Li, Kun Zheng
InfoMat (2023) Vol. 5, Iss. 8
Open Access | Times Cited: 25
Feature Selection in Machine Learning for Perovskite Materials Design and Discovery
Junya Wang, Pengcheng Xu, Xiaobo Ji, et al.
Materials (2023) Vol. 16, Iss. 8, pp. 3134-3134
Open Access | Times Cited: 21
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: 7
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: 6
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
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
Machine Learning in Polymer Research
Wei Ge, R. Silva‐González, Yanan Fan, et al.
Advanced Materials (2025)
Open Access
Machine learning in energy chemistry: introduction, challenges and perspectives
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Energy Advances (2023) Vol. 2, Iss. 7, pp. 896-921
Open Access | Times Cited: 15
Sequence Patterning, Morphology, and Dispersity in Single-Chain Nanoparticles: Insights from Simulation and Machine Learning
Roshan Patel, Sophia Colmenares, Michael Webb
ACS Polymers Au (2023) Vol. 3, Iss. 3, pp. 284-294
Open Access | Times Cited: 15
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
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: 4
Metal-related electrocatalysts for Li–CO2batteries: an overview of the fundamentals to explore future-oriented strategies
Huanzhu Lv, Xiang Huang, Xiaoqi Zhu, et al.
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 48, pp. 25406-25430
Closed Access | Times Cited: 21
Reshaping the material research paradigm of electrochemical energy storage and conversion by machine learning
Hao Yang, Zhengqiu He, Mengdi Zhang, et al.
EcoMat (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 14
Integrating Machine Learning in the Coarse-Grained Molecular Simulation of Polymers
Eleonora Ricci, Niki Vergadou
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 11, pp. 2302-2322
Closed Access | Times Cited: 14
Quantitative structure-property relationship (QSPR) framework assists in rapid mining of highly Thermostable polyimides
Mengxian Yu, Yajuan Shi, Xiao Liu, et al.
Chemical Engineering Journal (2023) Vol. 465, pp. 142768-142768
Closed Access | Times Cited: 13
Sizing up feature descriptors for macromolecular machine learning with polymeric biomaterials
Samantha Stuart, Jeffrey Watchorn, Frank Gu
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 12
Nano zero valent iron in the 21st century: A data-driven visualization and analysis of research topics and trends
Keteng Li, Jialing Li, Fanzhi Qin, et al.
Journal of Cleaner Production (2023) Vol. 415, pp. 137812-137812
Closed Access | Times Cited: 12
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