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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:

Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease
Sachin Aryal, Ahmad Alimadadi, Ishan Manandhar, et al.
Hypertension (2020) Vol. 76, Iss. 5, pp. 1555-1562
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
Rajkumar G. Nadakinamani, A. Reyana, Sandeep Kautish, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 72
Human Health during Space Travel: State-of-the-Art Review
Chayakrit Krittanawong, Nitin K. Singh, Richard A. Scheuring, et al.
Cells (2022) Vol. 12, Iss. 1, pp. 40-40
Open Access | Times Cited: 72
Cardiovascular diseases prediction by machine learning incorporation with deep learning
Sivakannan Subramani, Neeraj Varshney, Monika Anand, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 68
Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning
Jingyue Wu, Stephanie S. Singleton, Urnisha Bhuiyan, et al.
Frontiers in Molecular Biosciences (2024) Vol. 10
Open Access | Times Cited: 19
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
Isabel Moreno‐Indias, Leo Lahti, Miroslava Nedyalkova, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 73
A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach
Aizatul Shafiqah Mohd Faizal, T. Malathi Thevarajah, Sook Mei Khor, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 207, pp. 106190-106190
Closed Access | Times Cited: 61
Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning
Yutao Chen, Hongchao Wang, Wenwei Lu, et al.
Gut Microbes (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 59
Machine learning for data integration in human gut microbiome
Peishun Li, Hao Luo, Boyang Ji, et al.
Microbial Cell Factories (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 53
Gut butyrate-producers confer post-infarction cardiac protection
Hung-Chih Chen, Yen-Wen Liu, Kuan‐Cheng Chang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
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: 12
Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention
Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100211-100211
Open Access | Times Cited: 11
Advancing lifelong precision medicine for cardiovascular diseases through gut microbiota modulation
Bozhong Shi, Haoyu Li, Xiaomin He
Gut Microbes (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
Identification of MACC1 as a potential biomarker for pulmonary arterial hypertension based on bioinformatics and machine learning
Xinyi Zhou, Benhui Liang, Wenchao Lin, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108372-108372
Closed Access | Times Cited: 8
Omics in gut microbiome analysis
Tae Woong Whon, Na‐Ri Shin, Joon Yong Kim, et al.
The Journal of Microbiology (2021) Vol. 59, Iss. 3, pp. 292-297
Closed Access | Times Cited: 52
Artificial Intelligence in Hypertension
Sandosh Padmanabhan, Tran Tran, Anna F. Dominiczak
Circulation Research (2021) Vol. 128, Iss. 7, pp. 1100-1118
Open Access | Times Cited: 47
Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study
David Liu, Jake Sawyer, Alexander Luna, et al.
JMIR Medical Education (2022) Vol. 8, Iss. 4, pp. e38325-e38325
Open Access | Times Cited: 31
Microbiome-based disease prediction with multimodal variational information bottlenecks
Filippo Grazioli, Raman Siarheyeu, Israa Alqassem, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 4, pp. e1010050-e1010050
Open Access | Times Cited: 28
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning
David Rojas-Velázquez, Sarah Kidwai, Aletta D. Kraneveld, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Untapped potential of gut microbiome for hypertension management
Kan Gao, Pu Xiu Wang, Xue Mei, et al.
Gut Microbes (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 6
Artificial intelligence and human microbiome: A brief narrative review
D.C. Fonseca, Gabriel da Rocha Fernandes, Dan Linetzky Waitzberg
Clinical Nutrition Open Science (2025) Vol. 59, pp. 134-142
Closed Access
Artificial Intelligence-Based Target for Personalized Interventions of Atherosclerosis from Gut Microbiota Signature
Suravi Majumder, Koushik Sen, Rabimba Karanjai
SynBio (2025) Vol. 3, Iss. 1, pp. 2-2
Open Access
Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS)
Qing Huang, Zi-Hao Jiang, Bo Shi, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access
Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning
Xavier Chavarría, Hyun Seo Park, Singeun Oh, et al.
Microbial Genomics (2025) Vol. 11, Iss. 3
Open Access
Vegetable waste and by-products to feed a healthy gut microbiota: Current evidence, machine learning and computational tools to design novel microbiome-targeted foods
Carlos Sabater, Inés Calvete‐Torre, Mar Villamiel, et al.
Trends in Food Science & Technology (2021) Vol. 118, pp. 399-417
Open Access | Times Cited: 36
Biosensors for point-of-care testing and personalized monitoring of gastrointestinal microbiota
Lightson Ngashangva, Santanu Chattopadhyay
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 14
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