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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 meets omics: applications and perspectives
Rufeng Li, Lixin Li, Yungang Xu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
Xiujing He, Xiaowei Liu, Fengli Zuo, et al.
Seminars in Cancer Biology (2022) Vol. 88, pp. 187-200
Open Access | Times Cited: 147
Machine Learning in Nutrition Research
Daniel Kirk, E.J. Kok, Michele Tufano, et al.
Advances in Nutrition (2022) Vol. 13, Iss. 6, pp. 2573-2589
Open Access | Times Cited: 68
Missing data in multi-omics integration: Recent advances through artificial intelligence
Javier E. Flores, Daniel Claborne, Zachary D. Weller, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 56
Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare
Alex E. Mohr, Carmen P. Ortega‐Santos, Corrie M. Whisner, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1496-1496
Open Access | Times Cited: 30
AI‐organoid integrated systems for biomedical studies and applications
Sudhiksha Maramraju, Andrew Kowalczewski, Anirudh Kaza, et al.
Bioengineering & Translational Medicine (2024) Vol. 9, Iss. 2
Open Access | Times Cited: 16
Artificial intelligence for omics data analysis
Zeeshan Ahmed, Shibiao Wan, Fan Zhang, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 15
A guide to systems-level immunomics
Lorenzo Bonaguro, Jonas Schulte-Schrepping, Thomas Ulas, et al.
Nature Immunology (2022) Vol. 23, Iss. 10, pp. 1412-1423
Open Access | Times Cited: 52
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xinyue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 40
Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review
Minhyeok Lee
Mathematics (2023) Vol. 11, Iss. 14, pp. 3055-3055
Open Access | Times Cited: 27
Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
Connor D. Flynn, Dingran Chang
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1100-1100
Open Access | Times Cited: 14
Integrating Molecular Perspectives: Strategies for Comprehensive Multi-Omics Integrative Data Analysis and Machine Learning Applications in Transcriptomics, Proteomics, and Metabolomics
Pedro Henrique Godoy Sanches, Natália Melo, Andréia M. Porcari, et al.
Biology (2024) Vol. 13, Iss. 11, pp. 848-848
Open Access | Times Cited: 11
Integrated multi-omics with machine learning to uncover the intricacies of kidney disease
Xinze Liu, Jingxuan Shi, Yuanyuan Jiao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 8
Identification of key antifibrotic targets FPR1, TAS2R5, and LRP2BP of valsartan in diabetic nephropathy: A transcriptomics-driven study integrating machine learning, molecular docking, and dynamics simulations
Zewen Wang, Anlei Yuan, Chaoqun Liu, et al.
International Journal of Biological Macromolecules (2025) Vol. 297, pp. 139842-139842
Closed Access | Times Cited: 1
From single- to multi-omics: future research trends in medicinal plants
Lifang Yang, Ye Yang, Luqi Huang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 32
Advancing the precision management of inflammatory bowel disease in the era of omics approaches and new technology
Xinyu Liu, Hao Tang, Qingyang Zhou, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 2, pp. 272-285
Open Access | Times Cited: 19
Explainable artificial intelligence for omics data: a systematic mapping study
Philipp A Toussaint, Florian Leiser, Scott Thiebes, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 17
Applications of liquid chromatography-mass spectrometry based metabolomics in predictive and personalized medicine
Juntuo Zhou, Lijun Zhong
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 27
Machine Learning Data Analysis Highlights the Role of Parasutterella and Alloprevotella in Autism Spectrum Disorders
Daniele Pietrucci, Adelaide Teofani, Marco Milanesi, et al.
Biomedicines (2022) Vol. 10, Iss. 8, pp. 2028-2028
Open Access | Times Cited: 26
Big Data in Laboratory Medicine—FAIR Quality for AI?
Tobias Ueli Blatter, Harald Witte, Christos T. Nakas, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1923-1923
Open Access | Times Cited: 23
Machine Learning: A Suitable Method for Biocatalysis
Pedro Sampaio, Pedro Fernandes
Catalysts (2023) Vol. 13, Iss. 6, pp. 961-961
Open Access | Times Cited: 15
Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results
Muhammad Toseef, Olutomilayo Olayemi Petinrin, Fuzhou Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 15
The role of radiomics in tongue cancer: A new tool for prognosis prediction
Chiara Mossinelli, Marta Tagliabue, Francesca Ruju, et al.
Head & Neck (2023) Vol. 45, Iss. 4, pp. 849-861
Open Access | Times Cited: 14
Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries
Thao Vuong, Michael Bartolf‐Kopp, Kristina Andelovic, et al.
Advanced Science (2024) Vol. 11, Iss. 26
Open Access | Times Cited: 5
Machine learning for the advancement of genome-scale metabolic modeling
Pritam Kundu, Satyajit Beura, Suman Mondal, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108400-108400
Closed Access | Times Cited: 4
Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint
Yan Wang, Xiaoye Jin, Rui Qiu, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
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