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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:

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

Showing 1-25 of 40 citing articles:

Active learning of the thermodynamics-dynamics trade-off in protein condensates
Yaxin An, Michael Webb, William M. Jacobs
Science Advances (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 16
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 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: 6
Active learning and Gaussian processes for the development of dissolution models: An AI-based data-efficient approach
Rony Patel, Siddharth S. Kesharwani, Fady Ibrahim
Journal of Controlled Release (2025) Vol. 379, pp. 316-326
Closed Access
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
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
Artificial intelligence and machine learning in the design and additive manufacturing of responsive composites
Wonbong Choi, Rigoberto C. Advíncula, H. Felix Wu, et al.
MRS Communications (2023) Vol. 13, Iss. 5, pp. 714-724
Open Access | Times Cited: 15
Top 20 influential AI-based technologies in chemistry
Valentine P. Ananikov
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 4
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
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: 11
Polymer-mediated protein/peptide therapeutic stabilization: Current progress and future directions
P S Rajalakshmi, Katherine Snell, Grace E. Kunkel, et al.
Progress in Polymer Science (2024) Vol. 156, pp. 101867-101867
Closed Access | Times Cited: 3
Mapping Biomaterial Complexity by Machine Learning
Eman Ahmed, Prajakatta Mulay, César E. Ramírez, et al.
Tissue Engineering Part A (2024) Vol. 30, Iss. 19-20, pp. 662-680
Closed Access | Times Cited: 3
Multi-Objective Design of DNA-Stabilized Nanoclusters Using Variational Autoencoders With Automatic Feature Extraction
Elham Sadeghi, Peter Mastracco, Anna Gonzàlez‐Rosell, et al.
ACS Nano (2024)
Open Access | Times Cited: 3
Pair-Variational Autoencoders for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques
Shizhao Lu, Arthi Jayaraman
JACS Au (2023) Vol. 3, Iss. 9, pp. 2510-2521
Open Access | Times Cited: 8
Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders
Shengli Jiang, Adji B. Dieng, Michael Webb
(2024)
Open Access | Times Cited: 2
Top 20 Influential AI-Based Technologies in Chemistry
Valentine P. Ananikov
(2024)
Open Access | Times Cited: 2
Learning from nature by leveraging integrative biomateriomics modeling toward adaptive and functional materials
Sofia Arevalo, Markus J. Buehler
MRS Bulletin (2023) Vol. 48, Iss. 11, pp. 1140-1153
Open Access | Times Cited: 6
Data-driven models for predicting intrinsically disordered protein polymer physics directly from composition or sequence
Tzu‐Hsuan Chao, Shiv Rekhi, Jeetain Mittal, et al.
Molecular Systems Design & Engineering (2023) Vol. 8, Iss. 9, pp. 1146-1155
Closed Access | Times Cited: 5
An interpretable machine learning framework for modelling macromolecular interaction mechanisms with nuclear magnetic resonance
Samantha Stuart, Jeffrey Watchorn, Frank Gu
Digital Discovery (2023) Vol. 2, Iss. 6, pp. 1697-1709
Open Access | Times Cited: 5
Capturing Formulation Design of Battery Electrolytes with Chemical Large Language Model
Eduardo Soares, Vidushi Sharma, Emilio Vital Brazil, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Chi Wu, Yanan Xu, Jianguang Fang, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 1
Advanced and functional composite materials via additive manufacturing: Trends and perspectives
Yijie Jiang, Alejandro X. Serrano, Wonbong Choi, et al.
MRS Communications (2024) Vol. 14, Iss. 4, pp. 449-459
Open Access | Times Cited: 1
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 1
Active learning of the thermodynamics–dynamics tradeoff in protein condensates
Yaxin An, Michael Webb, William M. Jacobs
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Design of Experiments Grants Mechanistic Insights into the Synthesis of Spermine-Containing PBAE Copolymers
Adrian P. E. Kromer, Felix Sieber-Schäfer, Johan Farfan Benito, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 29, pp. 37545-37554
Open Access
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