Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Ten quick tips for avoiding pitfalls in multi-omics data integration analyses
Davide Chicco, Fabio Cumbo, Claudio Angione
PLoS Computational Biology (2023) Vol. 19, Iss. 7, pp. e1011224-e1011224
Open Access | Times Cited: 18

Showing 18 citing articles:

Graph machine learning for integrated multi-omics analysis
Nektarios A. Valous, Ferdinand Popp, Inka Zörnig, et al.
British Journal of Cancer (2024) Vol. 131, Iss. 2, pp. 205-211
Open Access | Times Cited: 16
From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies
Arnab Mukherjee, Suzanna Abraham, Akshita Singh, et al.
Molecular Biotechnology (2024)
Open Access | Times Cited: 10
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
Davide Chicco, Alessandro Fabris, Giuseppe Jurman
BioData Mining (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Tensor-Based Approaches for Omics Data Analysis: Applications, Challenges, and Future Directions
Amirhamzeh Khoshnam, Daniel Chafamo, Neriman Tokcan
La Matematica (2025)
Closed Access
Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction
Annette Spooner, Mohammad Karimi Moridani, B. Toplis, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Integrating Metabolomics with Omics Techniques: Exploring Cutting-Edge Technologies in Comprehensive Biological Analysis
Muhammad Qaiser Saleem, Muhammad Danish, Farhat Bano, et al.
(2025), pp. 61-87
Closed Access
Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients
Suraj Verma, Giuseppe Magazzù, Noushin Eftekhari, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 7, pp. 100817-100817
Open Access | Times Cited: 2
Utilizing Omics Technologies and Machine Learning to Improve Predictive Toxicology
Ahrum Son, Jongham Park, Woojin Kim, et al.
(2024)
Open Access | Times Cited: 2
Gene signatures for cancer research: A 25-year retrospective and future avenues
Wei Liu, Huaqin He, Davide Chicco
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012512-e1012512
Open Access | Times Cited: 2
A Commentary on Multi-omics Data Integration in Systems Vaccinology
Casey P. Shannon, Amy HY Lee, Scott J. Tebbutt, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 8, pp. 168522-168522
Closed Access | Times Cited: 1
Recent Advances in Omics, Computational Models, and Advanced Screening Methods for Drug Safety and Efficacy
Areum Sohn, Jongham Park, Woojin Kim, et al.
Toxics (2024) Vol. 12, Iss. 11, pp. 822-822
Open Access | Times Cited: 1
Computational Strategies for Assessing Adverse Outcome Pathways: Hepatic Steatosis as a Case Study
Rita Ortega-Vallbona, Martina Palomino‐Schätzlein, Laia Tolosa, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 20, pp. 11154-11154
Open Access | Times Cited: 1
Ten quick tips for fuzzy logic modeling of biomedical systems
Davide Chicco, Simone Spolaor, Marco S. Nobile
PLoS Computational Biology (2023) Vol. 19, Iss. 12, pp. e1011700-e1011700
Open Access | Times Cited: 3
Imprinted cell memory in glycogen storage disorder 1a
Uri Sprecher, Jessica D’Souza, Kumudesh Mishra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Closed Access | Times Cited: 2
Opportunities in Omics Integration
Mike May
Inside Precision Medicine (2024) Vol. 11, Iss. 3, pp. 14-17
Closed Access
Multi-Omics Approaches for Reproductive Health Data
Soumya V. Menon, Geeta Joshi, Subash Khadka, et al.
(2024), pp. 61-83
Closed Access
Integrative Analysis of Multi Omic Data
Zhao Yue, Zeti‐Azura Mohamed‐Hussein
Elsevier eBooks (2024)
Closed Access
Methods and tools for OMICS data integration
Ilya S. Belalov, Xinmin Li
Elsevier eBooks (2024), pp. 271-297
Closed Access
Supervised multiple kernel learning approaches for multi-omics data integration
Mitja Briscik, Gabriele Tazza, Dániel László Vidács, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
Page 1

Scroll to top