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 Role of Machine Learning and Design of Experiments in the Advancement of Biomaterial and Tissue Engineering Research
Ghayadah Al-Kharusi, Nicholas Dunne, Suzanne Little, et al.
Bioengineering (2022) Vol. 9, Iss. 10, pp. 561-561
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1593-1617
Open Access | Times Cited: 19

Machine learning applications for electrospun nanofibers: a review
Balakrishnan Subeshan, Asonganyi Atayo, Eylem Asmatulu
Journal of Materials Science (2024) Vol. 59, Iss. 31, pp. 14095-14140
Open Access | Times Cited: 18

Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems
Aikaterini Dedeloudi, Edward Weaver, Dimitrios A. Lamprou
International Journal of Pharmaceutics (2023) Vol. 636, pp. 122818-122818
Open Access | Times Cited: 33

The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 14

Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine
Maliheh Gharibshahian, Mohammad Torkashvand, Mahya Bavisi, et al.
Skin Research and Technology (2024) Vol. 30, Iss. 9
Open Access | Times Cited: 12

Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses
Esra İmamoğlu
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1143-1143
Open Access | Times Cited: 10

Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting
ZARNAD SHEIKH, Oliver B. Clarke, Amatullah Mir, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 28-28
Open Access | Times Cited: 1

The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access | Times Cited: 1

Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi, Nima Moslemy, Hadi Taghvaei, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2025) Vol. 166, pp. 106949-106949
Closed Access | Times Cited: 1

Freeze-Drying Process for the Fabrication of Collagen-Based Sponges as Medical Devices in Biomedical Engineering
Chrysoula Katrilaka, Niki Karipidou, Nestor Petrou, et al.
Materials (2023) Vol. 16, Iss. 12, pp. 4425-4425
Open Access | Times Cited: 22

Next generation organoid engineering to replace animals in cancer drug testing
Sean Hockney, Jessica Parker, Jasmin E. Turner, et al.
Biochemical Pharmacology (2023) Vol. 213, pp. 115586-115586
Open Access | Times Cited: 21

MLATE: Machine learning for predicting cell behavior on cardiac tissue engineering scaffolds
Saeed Rafieyan, Ebrahim Vasheghani‐Farahani, Nafiseh Baheiraei, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106804-106804
Closed Access | Times Cited: 20

Machine learning boosts three-dimensional bioprinting
Hongwei Ning, Teng Zhou, Sang Woo Joo
International Journal of Bioprinting (2023) Vol. 9, Iss. 4, pp. 739-739
Open Access | Times Cited: 20

A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds
Saeed Rafieyan, Elham Ansari, Ebrahim Vasheghani‐Farahani
Biofabrication (2024) Vol. 16, Iss. 4, pp. 045014-045014
Closed Access | Times Cited: 9

Machine learning powered CN-coordinated cobalt nanoparticles embedded cellulosic nanofibers to assess meat quality via clenbuterol monitoring
Muhammad Usman Ur Rehman, Anoud Saud Alshammari, Anam Zulfiqar, et al.
Biosensors and Bioelectronics (2024) Vol. 261, pp. 116498-116498
Closed Access | Times Cited: 7

Artificial Intelligence in Biomaterials: A Comprehensive Review
Yasemin Gokcekuyu, Fatih Ekinci, Mehmet Serdar Güzel, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6590-6590
Open Access | Times Cited: 7

Mapping the correlations between bandgap, HOMO, and LUMO trends for meta substituted Zn‐MOFs
Kyle I. Williamson, Daniel Herr, Yirong Mo
Journal of Computational Chemistry (2024) Vol. 45, Iss. 25, pp. 2119-2127
Open Access | Times Cited: 5

Rethinking Biomedical Titanium Alloy Design: A Review of Challenges from Biological and Manufacturing Perspectives
Daisy Rabbitt, Victor M. Villapún, Luke N. Carter, et al.
Advanced Healthcare Materials (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 5

Toward Fully Automated Personalized Orthopedic Treatments: Innovations and Interdisciplinary Gaps
Yunhua Luo
Bioengineering (2024) Vol. 11, Iss. 8, pp. 817-817
Open Access | Times Cited: 4

Shape Fidelity Evaluation of Alginate-Based Hydrogels through Extrusion-Based Bioprinting
Mikail Temirel, Sajjad Rahmani Dabbagh, Savaş Taşoğlu
Journal of Functional Biomaterials (2022) Vol. 13, Iss. 4, pp. 225-225
Open Access | Times Cited: 18

Integrating Modern Technologies into Traditional Anterior Cruciate Ligament Tissue Engineering
Aris Sopilidis, Vasileios Stamatopoulos, Vasileios Giannatos, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 39-39
Open Access

Artificial Intelligence in Predicting Hard Tissue Regeneration: Current Situation and Upcoming Perspectives
Nura Brimo, Dilek Çökeli̇ler Serdaroğlu, Halit Muhittin, et al.
(2025), pp. 73-86
Closed Access

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