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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:

Emerging Trends in Machine Learning: A Polymer Perspective
Tyler B. Martin, Debra J. Audus
ACS Polymers Au (2023) Vol. 3, Iss. 3, pp. 239-258
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Synthesis, properties, applications, 3D printing and machine learning of graphene quantum dots in polymer nanocomposites
Vimukthi Dananjaya, Sathish Marimuthu, Chunhui Yang, et al.
Progress in Materials Science (2024) Vol. 144, pp. 101282-101282
Open Access | Times Cited: 61
Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances
Khurram Shahzad, Andrei Ionut Mardare, Achim Walter Hassel
Science and Technology of Advanced Materials Methods (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 16
Enhancing precision in PANI/Gr nanocomposite design: robust machine learning models, outlier resilience, and molecular input insights for superior electrical conductivity and gas sensing performance
Abir Boublia, Zahir Guezzout, N. Haddaoui, et al.
Journal of Materials Chemistry A (2023) Vol. 12, Iss. 4, pp. 2209-2236
Closed Access | Times Cited: 26
Artificial Intelligence for Conjugated Polymers
Qiaomu Yang, Aikaterini Vriza, Cesar A. Castro Rubio, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 6, pp. 2602-2622
Closed Access | Times Cited: 14
Machine learning for analyses and automation of structural characterization of polymer materials
Shizhao Lu, Arthi Jayaraman
Progress in Polymer Science (2024) Vol. 153, pp. 101828-101828
Closed Access | Times Cited: 12
Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery
Meiqi Yang, Jun‐Jie Zhu, Allyson L. McGaughey, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10128-10139
Closed Access | Times Cited: 12
Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
Claudia Arellano, Joseph Govan
Agronomy (2024) Vol. 14, Iss. 2, pp. 341-341
Open Access | Times Cited: 11
Predicting the Glass Transition Temperature of Biopolymers via High-Throughput Molecular Dynamics Simulations and Machine Learning
Didac Martí, Rémi Pétuya, Emanuele Bosoni, et al.
ACS Applied Polymer Materials (2024) Vol. 6, Iss. 8, pp. 4449-4461
Closed Access | Times Cited: 11
Polymer design for solid-state batteries and wearable electronics
Kieran G. Stakem, Freddie J. Leslie, Georgina L. Gregory
Chemical Science (2024) Vol. 15, Iss. 27, pp. 10281-10307
Open Access | Times Cited: 9
AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 9
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: 8
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: 8
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
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: 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
Polymer and Nanocomposite Fillers as Advanced Materials in Biomedical Applications
Angeline Julius, Suresh Malakondaiah, Raghu Babu Pothireddy
Nano Trends (2025), pp. 100087-100087
Open Access | Times Cited: 1
Functional monomer design for synthetically accessible polymers
Seonghwan Kim, Charles M. Schroeder, Nicholas E. Jackson
Chemical Science (2025)
Open Access | Times Cited: 1
High Throughput Multidimensional Kinetic Screening in Continuous Flow Reactors
Bo Zhang, Ansila Mathoor, Tanja Junkers
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 38
Open Access | Times Cited: 22
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: 17
Unlocking enhanced thermal conductivity in polymer blends through active learning
Jiaxin Xu, Tengfei Luo
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Accurate Determination of Reactivity Ratios for Copolymerization Reactions with Reversible Propagation Mechanisms
David Lundberg, Landon J. Kilgallon, Julian C. Cooper, et al.
Macromolecules (2024) Vol. 57, Iss. 14, pp. 6727-6740
Closed Access | Times Cited: 7
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction
Chung‐Yin Lin, Jinsu Gim, Demitri Shotwell, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Unlocking the Potential of Polythioesters
Adam W. Woodhouse, Azra Kocaarslan, Jennifer A. Garden, et al.
Macromolecular Rapid Communications (2024) Vol. 45, Iss. 17
Open Access | Times Cited: 6
Machine Learning Aided Design and Optimization of Antifouling Surfaces
Yijing Tang, Junyu Wei, Yonglan Liu, et al.
Langmuir (2024) Vol. 40, Iss. 43, pp. 22504-22515
Closed Access | Times Cited: 6
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: 14
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