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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:

Moving Towards Induced Pluripotent Stem Cell-based Therapies with Artificial Intelligence and Machine Learning
Claudia Coronnello, Maria Giovanna Francipane
Stem Cell Reviews and Reports (2021) Vol. 18, Iss. 2, pp. 559-569
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108789-108789
Closed Access | Times Cited: 51
Induced pluripotent stem cells (iPSCs): molecular mechanisms of induction and applications
Jonas Cerneckis, Hongxia Cai, Yanhong Shi
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 50
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 18
Recognizing the Differentiation Degree of Human Induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cells Using Machine Learning and Deep Learning-Based Approaches
Chung-Yueh Lien, Tseng-Tse Chen, En-Tung Tsai, et al.
Cells (2023) Vol. 12, Iss. 2, pp. 211-211
Open Access | Times Cited: 14
A review on machine learning approaches in cardiac tissue engineering
Nikhith Kalkunte, Jorge Cisneros, Edward Castillo, et al.
Frontiers in Biomaterials Science (2024) Vol. 3
Open Access | Times Cited: 4
Bioengineering Strategies to Create 3D Cardiac Constructs from Human Induced Pluripotent Stem Cells
Fahimeh Varzideh, Pasquale Mone, Gaetano Santulli
Bioengineering (2022) Vol. 9, Iss. 4, pp. 168-168
Open Access | Times Cited: 18
Data analytics for cardiac diseases
Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105218-105218
Open Access | Times Cited: 16
Deep learning models for cancer stem cell detection: a brief review
Jingchun Chen, Lingyun Xu, Xindi Li, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 9
CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease
Fatma M. Talaat, Ahmed R. Elnaggar, Warda M. Shaban, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 822-822
Open Access | Times Cited: 3
Unlocking the full potential of mesenchymal stromal cell therapy for osteoarthritis through machine learning-based in silico trials
Lu Yin, Meiwu Ye, Qiao Yang, et al.
Cytotherapy (2024) Vol. 26, Iss. 10, pp. 1252-1263
Open Access | Times Cited: 2
Bioprocessing considerations for generation of iPSCs intended for clinical application: perspectives from the ISCT Emerging Regenerative Medicine Technology working group
Hannah Song, Jennifer N. Solomon, Fernanda Masri, et al.
Cytotherapy (2024) Vol. 26, Iss. 11, pp. 1275-1284
Closed Access | Times Cited: 2
Mass Spectrometry Imaging Reveals Early Metabolic Priming of Cell Lineage in Differentiating Human-Induced Pluripotent Stem Cells
Arina Nikitina, Alexandria Van Grouw, Tanya Roysam, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 11, pp. 4880-4888
Open Access | Times Cited: 6
Artificial Intelligence Supports Automated Characterization of Differentiated Human Pluripotent Stem Cells
Katarzyna Marzec-Schmidt, Nidal Ghosheh, Sören Richard Stahlschmidt, et al.
Stem Cells (2023) Vol. 41, Iss. 9, pp. 850-861
Open Access | Times Cited: 6
AI-Based solutions for current challenges in regenerative medicine
Pedram Asadi Sarabi, Mahshid Shabanpouremam, Amir Reza Eghtedari, et al.
European Journal of Pharmacology (2024), pp. 177067-177067
Closed Access | Times Cited: 1
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning
Hongbin Yang, Olga Obrezanova, Amy Pointon, et al.
Toxicology and Applied Pharmacology (2022) Vol. 459, pp. 116342-116342
Open Access | Times Cited: 8
Artificial intelligence and improvement of stem cell delivery in healthcare
Tungki Pratama Umar
Electronic Journal of General Medicine (2023) Vol. 20, Iss. 5, pp. em516-em516
Open Access | Times Cited: 4
Cutting-edge proteogenomics approaches to analyze stem cells at the therapeutic level
Saifullah Afridi, Tabassum Zahra, Umar Nishan, et al.
Elsevier eBooks (2024), pp. 149-158
Closed Access | Times Cited: 1
A literature review: machine learning-based stem cell investigation
Jinat Ara, Tanzila Khatun
Annals of Translational Medicine (2024) Vol. 12, Iss. 3, pp. 52-52
Open Access | Times Cited: 1
Label-free optical imaging and sensing for quality control of stem cell manufacturing
Danielle E. Desa, Tongcheng Qian, Melissa C. Skala
Current Opinion in Biomedical Engineering (2022) Vol. 25, pp. 100435-100435
Open Access | Times Cited: 7
Quality Control of Human Pluripotent Stem Cell Colonies by Computational Image Analysis Using Convolutional Neural Networks
Anastasiya Mamaeva, Olga Krasnova, Irina Khvorova, et al.
International Journal of Molecular Sciences (2022) Vol. 24, Iss. 1, pp. 140-140
Open Access | Times Cited: 7
Advances in Hypertrophic Cardiomyopathy Disease Modelling Using hiPSC-Derived Cardiomyocytes
Saif Dababneh, Homa Hamledari, Yasaman Maaref, et al.
Canadian Journal of Cardiology (2023) Vol. 40, Iss. 5, pp. 766-776
Closed Access | Times Cited: 2
Stem cell therapy in the era of machine learning
Asif Adil, M. Asger, Musharaf Gul, et al.
Elsevier eBooks (2024), pp. 77-84
Closed Access
Digital Applications in Dental and Craniofacial Tissue Engineering
Foteini Machla, Ioannis Angelopoulos, Maria Kokoti, et al.
Springer eBooks (2024), pp. 259-271
Closed Access
Effect of laser photobiomodulation combined with hydroxyapatite nanoparticles on the osteogenic differentiation of mesenchymal stem cells using artificial intelligence: An in vitro study
Eloiza Leonardo de Melo, Jéssica Meirinhos Miranda, Vanessa Bastos de Souza Rolim Lima, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0313787-e0313787
Open Access
Artificial Intelligence and Its Integration with Regenerative Medicine Approach
Tungki Pratama Umar, Dessy Agustini, Abdelrahman M. Makram, et al.
Advances in healthcare information systems and administration book series (2023), pp. 32-57
Closed Access | Times Cited: 1
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