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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 and systems genomics approaches for multi-omics data
Eugene Lin, Hsien‐Yuan Lane
Biomarker Research (2017) Vol. 5, Iss. 1
Open Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

Applications of Support Vector Machine (SVM) Learning in Cancer Genomics
Shujun Huang, Nianguang Cai, P. Pacheco, et al.
Cancer Genomics & Proteomics (2018) Vol. 15, Iss. 1
Open Access | Times Cited: 1226
Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 503
Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping
Lian Beijers, Klaas J. Wardenaar, Hanna M. van Loo, et al.
Molecular Psychiatry (2019) Vol. 24, Iss. 6, pp. 888-900
Open Access | Times Cited: 191
A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers
Eugene Lin, Po‐Hsiu Kuo, Yu-Li Liu, et al.
Frontiers in Psychiatry (2018) Vol. 9
Open Access | Times Cited: 161
Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review
Nasim Vahabi, George Michailidis
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 85
An introduction and overview of machine learning in neurosurgical care
Joeky T. Senders, Mark M. Zaki, Aditya V. Karhade, et al.
Acta Neurochirurgica (2017) Vol. 160, Iss. 1, pp. 29-38
Closed Access | Times Cited: 147
Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 3, pp. 969-969
Open Access | Times Cited: 114
Leveraging Multilayered “Omics” Data for Atopic Dermatitis: A Road Map to Precision Medicine
Debajyoti Ghosh, Jonathan A. Bernstein, Gurjit K. Khurana Hershey, et al.
Frontiers in Immunology (2018) Vol. 9
Open Access | Times Cited: 106
Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer
Nupur Biswas, Saikat Chakrabarti
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 103
Marine Natural Products from Microalgae: An -Omics Overview
Chiara Lauritano, Maria Immacolata Ferrante, Alessandra Rogato
Marine Drugs (2019) Vol. 17, Iss. 5, pp. 269-269
Open Access | Times Cited: 82
Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein Design
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
Molecules (2020) Vol. 25, Iss. 14, pp. 3250-3250
Open Access | Times Cited: 76
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, et al.
Journal of Biomedical Informatics (2021) Vol. 117, pp. 103751-103751
Open Access | Times Cited: 66
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
Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review
Sara Momtazmanesh, Ali Nowroozi, Nima Rezaei
Rheumatology and Therapy (2022) Vol. 9, Iss. 5, pp. 1249-1304
Open Access | Times Cited: 58
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
Integrated multi‐omics approaches to understand microbiome assembly in Jiuqu , a mixed‐culture starter
Jiamu Kang, Yansong Xue, Xiaoxue Chen, et al.
Comprehensive Reviews in Food Science and Food Safety (2022) Vol. 21, Iss. 5, pp. 4076-4107
Closed Access | Times Cited: 51
From pharmacogenetics to pharmaco-omics: Milestones and future directions
Chiara Auwerx, Marie C. Sadler, Alexandre Reymond, et al.
Human Genetics and Genomics Advances (2022) Vol. 3, Iss. 2, pp. 100100-100100
Open Access | Times Cited: 40
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, et al.
Biology (2023) Vol. 12, Iss. 10, pp. 1298-1298
Open Access | Times Cited: 29
Integrated analysis of multi-omics data for the discovery of biomarkers and therapeutic targets for colorectal cancer
Nima Zafari, Parsa Bathaei, Mahla Velayati, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106639-106639
Open Access | Times Cited: 26
Machine learning-assisted image-based optical devices for health monitoring and food safety
Maryam Mousavizadegan, Farzaneh Shalileh, Saba Mostajabodavati, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 177, pp. 117794-117794
Closed Access | Times Cited: 11
Epigenetics and Depression: An Update
Eugene Lin, Shih‐Jen Tsai
Psychiatry Investigation (2019) Vol. 16, Iss. 9, pp. 654-661
Open Access | Times Cited: 56
Deep Learning with Neuroimaging and Genomics in Alzheimer’s Disease
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 15, pp. 7911-7911
Open Access | Times Cited: 52
De Novo Peptide and Protein Design Using Generative Adversarial Networks: An Update
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 4, pp. 761-774
Closed Access | Times Cited: 30
Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living
George Lagoumintzis, George P. Patrinos
Human Genomics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 21
MetDIT: Transforming and Analyzing Clinical Metabolomics Data with Convolutional Neural Networks
Yuyang Sha, Weiyu Meng, Gang Luo, et al.
Analytical Chemistry (2024)
Closed Access | Times Cited: 7
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