Open Access Helper

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:

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

Showing 1-25 of 34 citing articles:

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 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 for Prediction and Synthesis of Anion Exchange Membranes
Yongjiang Yuan, Pengda Fang, Han Yuan, et al.
Accounts of Materials Research (2025)
Closed Access
Machine Learning in Polymer Research
Wei Ge, R. Silva‐González, Yanan Fan, et al.
Advanced Materials (2025)
Open Access
Perspective: Machine Learning in Design for 3D/4D Printing
Xiaohao Sun, Kun Zhou, Frédéric Demoly, et al.
Journal of Applied Mechanics (2023) Vol. 91, Iss. 3
Open Access | Times Cited: 18
Molecular perspective and engineering of thermal transport and thermoelectricity in polymers
Sai C. Yelishala, Connor Murphy, Longji Cui
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 18, pp. 10614-10658
Closed Access | Times Cited: 4
Antifouling polymers for nanomedicine and surfaces: recent advances
Yi Jie Eng, Tuan Minh Nguyen, He‐Kuan Luo, et al.
Nanoscale (2023) Vol. 15, Iss. 38, pp. 15472-15512
Closed Access | Times Cited: 12
Applications of Artificial Intelligence and Machine Learning on Critical Materials Used in Cosmetics and Personal Care Formulation Design
Hai Xin, Akashdeep Singh Virk, Sabitoj Singh Virk, et al.
Current Opinion in Colloid & Interface Science (2024) Vol. 73, pp. 101847-101847
Closed Access | Times Cited: 4
Analysis of Electrochemical Impedance Data: Use of Deep Neural Networks
Dulyawat Doonyapisut, Padmanathan-Karthick Kannan, Byeongkyu Kim, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 8
Open Access | Times Cited: 10
Polymer reaction engineering meets explainable machine learning
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
Computers & Chemical Engineering (2023) Vol. 177, pp. 108356-108356
Closed Access | Times Cited: 10
Surfactant-Specific AI-Driven Molecular Design: Integrating Generative Models, Predictive Modeling, and Reinforcement Learning for Tailored Surfactant Synthesis
Miriam Nnadili, Andrew N. Okafor, Teslim Olayiwola, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 14, pp. 6313-6324
Open Access | Times Cited: 3
Chemical library generation of polymer acceptors for organic solar cells with higher electron affinity
Fatimah Mohammed Alzahrani, Sumaira Naeem, Numan Khan, et al.
Computational Materials Science (2024) Vol. 239, pp. 112984-112984
Closed Access | Times Cited: 2
Advances in Injectable Polymeric Biomaterials and Their Contemporary Medical Practices
Sophia Beilharz, Mithun Kumar Debnath, Daniele Vinella, et al.
ACS Applied Bio Materials (2024)
Closed Access | Times Cited: 2
Advancing flame retardant prediction: A self-enforcing machine learning approach for small datasets
Cheng Yan, Xiang Lin, Xiaming Feng, et al.
Applied Physics Letters (2023) Vol. 122, Iss. 25
Closed Access | Times Cited: 7
Polymer Boosts High Performance Perovskite Solar Cells: A Review
Yabin Ma, Jinghao Ge, Alex K.‐Y. Jen, et al.
Advanced Optical Materials (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 7
Intelligent Materials and Nanomaterials Improving Physical Properties and Control Oriented on Electronic Implementations
Alessandro Massaro
Electronics (2023) Vol. 12, Iss. 18, pp. 3772-3772
Open Access | Times Cited: 7
Enhancing High-Fidelity Neural Network Potentials through Low-Fidelity Sampling
Gang Seob Jung
(2024)
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
Target Material Property‐Dependent Cluster Analysis of Inorganic Compounds
Nobuya Sato, Akira Takahashi, Shin Kiyohara, et al.
Advanced Intelligent Systems (2024)
Open Access | Times Cited: 1
Prediction of Acrylonitrile–Butadiene–Styrene Mechanical Properties through Compressed-Sensing Techniques
Jonah Poort, Milad Golkaram, Pieter Janssen, et al.
Journal of Chemical Information and Modeling (2024)
Open 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
Machine learning applied to the design and optimization of polymeric materials: A review
Sudarsan M. Pai, Karim Ali Shah, S. Shyam Sunder, et al.
Next Materials (2024) Vol. 7, pp. 100449-100449
Closed Access | Times Cited: 1
Predicting the solubility of gases, vapors, and supercritical fluids in amorphous polymers from electron density using convolutional neural networks
Oleg I. Gromov
Polymer Chemistry (2024) Vol. 15, Iss. 13, pp. 1273-1296
Open Access
Microstructural Characterization and Phase Prediction of High Entropy Alloys using Empirical and Machine Learning Based Methodologies
Aron Kamran Mohammadi
(2024)
Open Access
Leveraging Artificial Intelligence for Better Translation of Fibre-based Pharmaceutical Systems into Real-world Benefits
Francis Brako, Makuochi Nkwo
Pharmaceutical Development and Technology (2024) Vol. 29, Iss. 8, pp. 793-804
Closed Access
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