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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:

An unsupervised learning approach to identify novel signatures of health and disease from multimodal data
Ilan Shomorony, Elizabeth T. Cirulli, Lei Huang, et al.
Genome Medicine (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Machine Learning and the Future of Cardiovascular Care
Giorgio Quer, Ramy Arnaout, Michael Henne, et al.
Journal of the American College of Cardiology (2021) Vol. 77, Iss. 3, pp. 300-313
Open Access | Times Cited: 267
Gut microbiome, big data and machine learning to promote precision medicine for cancer
Giovanni Cammarota, Gianluca Ianiro, Anna M. Ahern, et al.
Nature Reviews Gastroenterology & Hepatology (2020) Vol. 17, Iss. 10, pp. 635-648
Closed Access | Times Cited: 245
Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 226
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Jingwei Li, Danilo Bzdok, Jianzhong Chen, et al.
Science Advances (2022) Vol. 8, Iss. 11
Open Access | Times Cited: 113
Applications of machine learning in metabolomics: Disease modeling and classification
Aya Galal, Marwa Talal, Ahmed A. Moustafa
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 95
Artificial intelligence in the management of metabolic disorders: a comprehensive review
A Anwar, Simran Rana, Priya Pathak
Journal of Endocrinological Investigation (2025)
Closed Access | Times Cited: 3
Artificial Intelligence Technologies in Cardiology
Łukasz Ledziński, Grzegorz Grześk
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 5, pp. 202-202
Open Access | Times Cited: 32
Reviewing Multimodal Machine Learning and Its Use in Cardiovascular Diseases Detection
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1558-1558
Open Access | Times Cited: 24
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Evan D. Muse, Eric J. Topol
Cell Metabolism (2024) Vol. 36, Iss. 4, pp. 670-683
Closed Access | Times Cited: 14
The impact of systematized generation, evaluation, and incorporation of machine learning algorithms for clinical variant classification
Laure Frésard, Flavia M. Facio, Elaine Chen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Baicalin inhibits APEC-induced lung injury by regulating gut microbiota and SCFA production
Lu-Yuan Peng, Haitao Shi, Yue-Rong Tan, et al.
Food & Function (2021) Vol. 12, Iss. 24, pp. 12621-12633
Closed Access | Times Cited: 47
Identifying diseases symptoms and general rules using supervised and unsupervised machine learning
Fatemeh Sogandi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Treating medical data as a durable asset
Amalio Telenti, Xiaoqian Jiang
Nature Genetics (2020) Vol. 52, Iss. 10, pp. 1005-1010
Open Access | Times Cited: 35
The geometry of clinical labs and wellness states from deeply phenotyped humans
Anat Zimmer, Yael Korem, Noa Rappaport, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 28
Precise prediction of metabolites patterns using machine learning approaches in distinguishing honey and sugar diets fed to mice
Zheng Xing, Fei Pan, Nenad Naumovski, et al.
Food Chemistry (2023) Vol. 430, pp. 136915-136915
Closed Access | Times Cited: 13
Artificial intelligence for dementia prevention
Danielle Newby, Vasiliki Orgeta, Charles R. Marshall, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5952-5969
Open Access | Times Cited: 13
Dietary energy and protein gradients drive metabolic adaptation in growing-finishing yaks on the Qinghai-Tibet Plateau
Shoupei Zhao, Jia Zhou, Shengtao Guan, et al.
Animal nutrition (2025)
Open Access
Improved Key Microbial Biomarker Discovery Using Ensemble Statistical Methods
Walter Pirovano, Yashjit Gangopadhyay, Mirna Baak, et al.
Advanced Gut & Microbiome Research (2025) Vol. 2025, Iss. 1
Open Access
Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques
Joan D. Gonzalez-Franco, Alejandro Galaviz‐Mosqueda, Salvador Villarreal‐Reyes, et al.
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 2, pp. 46-46
Open Access
Machine Learning Applications in Endocrinology and Metabolism Research: An Overview
Namki Hong, Heajeong Park, Yumie Rhee
Endocrinology and Metabolism (2020) Vol. 35, Iss. 1, pp. 71-84
Open Access | Times Cited: 25
The role of body composition assessment in obesity and eating disorders
Danoob Dalili, Alberto Bazzocchi, Daniel Dalili, et al.
European Journal of Radiology (2020) Vol. 131, pp. 109227-109227
Closed Access | Times Cited: 20
Applications of weighted association networks applied to compositional data in biology
Josh L. Espinoza, Naisha Shah, Suren Singh, et al.
Environmental Microbiology (2020) Vol. 22, Iss. 8, pp. 3020-3038
Open Access | Times Cited: 18
NHLBI-CMREF Workshop Report on Pulmonary Vascular Disease Classification
William M. Oldham, Anna R. Hemnes, Micheala A. Aldred, et al.
Journal of the American College of Cardiology (2021) Vol. 77, Iss. 16, pp. 2040-2052
Open Access | Times Cited: 16
Insight of pancreatic cancer: recommendations for improving its therapeutic efficacy in the next decade
Zhi-Hang Xu, Wenquan Wang, Wenhui Lou, et al.
Journal of Pancreatology (2022) Vol. 5, Iss. 2, pp. 58-68
Open Access | Times Cited: 11
Non-targeted metabolomics analysis of fermented traditional Chinese medicine and its impact on growth performance, serum biochemistry, and intestinal microbiome of weaned lambs
Junyang Fan, Hongyan Cui, Zhiying Mu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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