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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:

A New Approach to Drug Repurposing with Two-Stage Prediction, Machine Learning, and Unsupervised Clustering of Gene Expression
Yi Cong, Misaki Shintani, Fuga Imanari, et al.
OMICS A Journal of Integrative Biology (2022) Vol. 26, Iss. 6, pp. 339-347
Open Access | Times Cited: 24

Showing 24 citing articles:

A systematic review of computational approaches to understand cancer biology for informed drug repurposing
Faheem Ahmed, Anupama Samantasinghar, Afaque Manzoor Soomro, et al.
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104373-104373
Open Access | Times Cited: 34
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 30
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2024), pp. 1461-1498
Closed Access | Times Cited: 9
Artificial intelligence in drug repurposing for rare diseases: a mini-review
Lucas Cortial, Vincent Montero, Sébastien Tourlet, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 6
Multi-Omics and Artificial Intelligence-Guided Drug Repositioning: Prospects, Challenges, and Lessons Learned from COVID-19
Yi Cong, Toshinori Endo
OMICS A Journal of Integrative Biology (2022) Vol. 26, Iss. 7, pp. 361-371
Open Access | Times Cited: 26
A neuromuscular clinician’s primer on machine learning
Crystal Jing Jing Yeo, Savitha Ramasamy, Foh-Lik Leong, et al.
Journal of Neuromuscular Diseases (2025)
Closed Access
A systematic review of artificial intelligence-based COVID-19 modeling on multimodal genetic information
Karthik Sekaran, R. Gnanasambandan, Ramkumar Thirunavukarasu, et al.
Progress in Biophysics and Molecular Biology (2023) Vol. 179, pp. 1-9
Open Access | Times Cited: 10
Data-driven normative values based on generative manifold learning for quantitative MRI
Arnaud Attyé, Félix Renard, Vanina Anglade, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Transcriptomic Analysis of Hub Genes Reveals Associated Inflammatory Pathways in Estrogen-Dependent Gynecological Diseases
Elaine C. Pasamba, Marco A. Orda, B. Villanueva, et al.
Biology (2024) Vol. 13, Iss. 6, pp. 397-397
Open Access | Times Cited: 2
Applications of Deep Learning for Drug Discovery Systems with BigData
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 603-624
Open Access | Times Cited: 11
Unlocking therapeutic potential: integration of drug repurposing and immunotherapy for various disease targeting.
Vishakha Anand Pawar, Anuradha Tyagi, Chaitenya Verma, et al.
PubMed (2023) Vol. 15, Iss. 8, pp. 4984-5006
Closed Access | Times Cited: 6
The use of artificial intelligence in the treatment of rare diseases: A scoping review
Da He, Ru Wang, Zhilin Xu, et al.
Intractable & Rare Diseases Research (2023) Vol. 13, Iss. 1, pp. 12-22
Open Access | Times Cited: 5
Unlocking the potential of signature-based drug repurposing for anticancer drug discovery
Sruti Biswal, Bibekanand Mallick
Archives of Biochemistry and Biophysics (2024) Vol. 761, pp. 110150-110150
Closed Access | Times Cited: 1
Reinventing Therapeutic Proteins: Mining a Treasure of New Therapies
Sarfaraz K. Niazi, Zamara Mariam
Biologics (2023) Vol. 3, Iss. 2, pp. 72-94
Open Access | Times Cited: 2
Deep Learning in Drug Repurposing: A Review of the CoV-DrugX Module within the CoV-DrugX Pipeline
Agrima Chopra, Apurva Rustagi, Sumit Tanwar, et al.
(2024)
Open Access
A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health
Yi Cong, Toshinori Endo
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 6, pp. 257-260
Closed Access
A novel method for bioinformatics analysis in gene expression profiling framework for personalized healthcare applications
N. Kumareshan, P. Natarajan, Suresh Muthusamy, et al.
Multimedia Tools and Applications (2024)
Closed Access
AI-Driven Drug Discovery for Rare Diseases
Amit Gangwal, Antonio Lavecchia
Journal of Chemical Information and Modeling (2024)
Closed Access
Characterizing diseases using genetic and clinical variables: A data analytics approach
Madhuri Gollapalli, Harsh Anand, Satish Srinivasan
Quantitative Biology (2024) Vol. 12, Iss. 3, pp. 271-285
Open Access
Reinventing Therapeutic Proteins: Optimizing Investments and Meeting Humanitarian Needs
Sarfaraz K. Niazi, Zamara Mariam
(2023)
Open Access | Times Cited: 1
FLOating-Window Projective Separator (FloWPS) Machine Learning Approach to Predict Individual Clinical Efficiency of Cancer Drugs
Nicolas Borisov, Victor Tkachev, Maxim Sorokin, et al.
(2021), pp. 23-23
Open Access | Times Cited: 1
Correction to: Multi-Omics and Artificial Intelligence-Guided Drug Repositioning: Prospects, Challenges, and Lessons Learned from COVID-19, by Cong and Endo. OMICS 2022;26(7):361–371; doi: 10.1089/omi.2022.0068

OMICS A Journal of Integrative Biology (2023) Vol. 27, Iss. 8, pp. 406-406
Closed Access
Correction to: A New Approach to Drug Repurposing with Two-Stage Prediction, Machine Learning, and Unsupervised Clustering of Gene Expression, by Cong et al. OMICS 2022;26(6):339–347; doi: 10.1089/omi.2022.0026

OMICS A Journal of Integrative Biology (2023) Vol. 27, Iss. 8, pp. 402-405
Open Access
Applying a Gene Reversal Rate Computational Methodology to Identify Drugs for a Rare Cancer: Inflammatory Breast Cancer
Xiaojia Ji, Kevin P. Williams, Weifan Zheng
Cancer Informatics (2023) Vol. 22
Open Access
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