Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine Learning‐Driven Biomaterials Evolution
Ady Suwardi, Fuke Wang, Kun Xue, et al.
Advanced Materials (2021) Vol. 34, Iss. 1
Closed Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Thermoelectrics for medical applications: Progress, challenges, and perspectives
Boxuan Hu, Xiao‐Lei Shi, Jin Zou, et al.
Chemical Engineering Journal (2022) Vol. 437, pp. 135268-135268
Closed Access | Times Cited: 144
Enhancing property prediction and process optimization in building materials through machine learning: A review
Konstantinos I. Stergiou, Charis Ntakolia, Paris Varytis, et al.
Computational Materials Science (2023) Vol. 220, pp. 112031-112031
Open Access | Times Cited: 84
AI-enabled organoids: Construction, analysis, and application
Long Bai, Yan Wu, Guangfeng Li, et al.
Bioactive Materials (2023) Vol. 31, pp. 525-548
Open Access | Times Cited: 51
Recent applications of machine learning in alloy design: A review
Mingwei Hu, Qiyang Tan, Ruth Knibbe, et al.
Materials Science and Engineering R Reports (2023) Vol. 155, pp. 100746-100746
Closed Access | Times Cited: 46
Emerging Bioprinting for Wound Healing
Zijian Wang, Xiao Liang, Guanyi Wang, et al.
Advanced Materials (2023)
Closed Access | Times Cited: 45
Applied machine learning as a driver for polymeric biomaterials design
Samantha M. McDonald, Emily K. Augustine, Quinn Lanners, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity Relationship Approaches
Ajay Vikram Singh, Mansi Varma, Mansi Rai, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 4
Closed Access | Times Cited: 31
Advancing 3D bioprinting through machine learning and artificial intelligence
Srikanthan Ramesh, Akash Deep, Ali Tamayol, et al.
Bioprinting (2024) Vol. 38, pp. e00331-e00331
Closed Access | Times Cited: 24
AI energized hydrogel design, optimization and application in biomedicine
Zuhao Li, Peiran Song, Guangfeng Li, et al.
Materials Today Bio (2024) Vol. 25, pp. 101014-101014
Open Access | Times Cited: 19
Viscoelastic Biomaterials for Tissue Regeneration
David T. Wu, Nicholas Jeffreys, Mani Diba, et al.
Tissue Engineering Part C Methods (2022) Vol. 28, Iss. 7, pp. 289-300
Open Access | Times Cited: 47
Pushing the Natural Frontier: Progress on the Integration of Biomaterial Cues toward Combinatorial Biofabrication and Tissue Engineering
Carlos F. Guimarães, Alexandra P. Marques, Rui L. Reis
Advanced Materials (2022) Vol. 34, Iss. 33
Open Access | Times Cited: 35
A User’s Guide to Machine Learning for Polymeric Biomaterials
Travis A. Meyer, César E. Ramírez, Matthew Tamasi, et al.
ACS Polymers Au (2022) Vol. 3, Iss. 2, pp. 141-157
Open Access | Times Cited: 35
Engineering multifunctional adhesive hydrogel patches for biomedical applications
Aishik Chakraborty, Shana Alexander, Wei Luo, et al.
Deleted Journal (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 30
MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems
Markus J. Buehler
Journal of the Mechanics and Physics of Solids (2023) Vol. 181, pp. 105454-105454
Open Access | Times Cited: 29
Transformers in Material Science: Roles, Challenges, and Future Scope
Nitin Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 27
Untapped Potential of Deep Eutectic Solvents for the Synthesis of Bioinspired Inorganic–Organic Materials
Marcin Wysokowski, Rachel K. Luu, Sofia Arevalo, et al.
Chemistry of Materials (2023) Vol. 35, Iss. 19, pp. 7878-7903
Open Access | Times Cited: 24
How can machine learning and multiscale modeling benefit ocular drug development?
Nannan Wang, Yunsen Zhang, Wei Wang, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114772-114772
Closed Access | Times Cited: 21
Drug Delivery on Mg-MOF-74: The Effect of Drug Solubility on Pharmacokinetics
Neila Pederneira, Kyle Newport, Shane Lawson, et al.
ACS Applied Bio Materials (2023) Vol. 6, Iss. 6, pp. 2477-2486
Closed Access | Times Cited: 21
Extracellular Vesicles and Hydrogels: An Innovative Approach to Tissue Regeneration
Amir Hashemi, Masoumeh Ezati, Minoo Partovi Nasr, et al.
ACS Omega (2024) Vol. 9, Iss. 6, pp. 6184-6218
Open Access | Times Cited: 8
Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Yan Cao, Ali Taghvaie Nakhjiri, Mahdi Ghadiri
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108783-108783
Closed Access | Times Cited: 7
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 strategies for small sample size in materials science
Qiuling Tao, Jinxin Yu, Xiangyu Mu, et al.
Science China Materials (2025)
Closed Access
Machine learning-assisted carbon dots synthesis and analysis: state of the art and future directions
Fanyong Yan, Ruixue Bai, Juanru Huang, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118141-118141
Closed Access
Deep learning assisted prediction of osteogenic capability of orthopedic implant surfaces based on early cell morphology
Andi Li, Xinyi Li, Zhiwen Zhang, et al.
Acta Biomaterialia (2025)
Closed Access
Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design
Joseph Zavorskas, Harley Edwards, Mark R. Marten, et al.
ACS Biomaterials Science & Engineering (2025)
Closed Access
Page 1 - Next Page

Scroll to top