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:
EBOLApred: A machine learning-based web application for predicting cell entry inhibitors of the Ebola virus
Joseph Adams, Kwasi Agyenkwa-Mawuli, Odame Agyapong, et al.
Computational Biology and Chemistry (2022) Vol. 101, pp. 107766-107766
Closed Access | Times Cited: 8
Joseph Adams, Kwasi Agyenkwa-Mawuli, Odame Agyapong, et al.
Computational Biology and Chemistry (2022) Vol. 101, pp. 107766-107766
Closed Access | Times Cited: 8
Showing 8 citing articles:
Role of Fluid Dynamics in Infectious Disease Transmission: Insights from COVID-19 and Other Pathogens
Soumyajit Koley
Trends in Sciences (2024) Vol. 21, Iss. 8, pp. 8287-8287
Open Access | Times Cited: 16
Soumyajit Koley
Trends in Sciences (2024) Vol. 21, Iss. 8, pp. 8287-8287
Open Access | Times Cited: 16
AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism
Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, et al.
Information (2025) Vol. 16, Iss. 1, pp. 34-34
Open Access
Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, et al.
Information (2025) Vol. 16, Iss. 1, pp. 34-34
Open Access
Cheminformatics-Based Study Identifies Potential Ebola VP40 Inhibitors
Emmanuel Broni, Carolyn Ashley, Joseph Adams, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6298-6298
Open Access | Times Cited: 16
Emmanuel Broni, Carolyn Ashley, Joseph Adams, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6298-6298
Open Access | Times Cited: 16
Artificial Intelligence, Machine Learning, and Big Data for Ebola Virus Drug Discovery
Samuel K. Kwofie, Joseph Adams, Emmanuel Broni, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 3, pp. 332-332
Open Access | Times Cited: 8
Samuel K. Kwofie, Joseph Adams, Emmanuel Broni, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 3, pp. 332-332
Open Access | Times Cited: 8
Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing
Sakshi Gautam, Anamika Thakur, Akanksha Rajput, et al.
Viruses (2023) Vol. 16, Iss. 1, pp. 45-45
Open Access | Times Cited: 6
Sakshi Gautam, Anamika Thakur, Akanksha Rajput, et al.
Viruses (2023) Vol. 16, Iss. 1, pp. 45-45
Open Access | Times Cited: 6
Significance of Artificial Intelligence in the Study of Virus–Host Cell Interactions
James Elste, Akash Saini, Rafael Mejía-Alvarez, et al.
Biomolecules (2024) Vol. 14, Iss. 8, pp. 911-911
Open Access | Times Cited: 1
James Elste, Akash Saini, Rafael Mejía-Alvarez, et al.
Biomolecules (2024) Vol. 14, Iss. 8, pp. 911-911
Open Access | Times Cited: 1
FP-MAP: an extensive library of fingerprint-based molecular activity prediction tools
Vishwesh Venkatraman
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 4
Vishwesh Venkatraman
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 4
Machine learning and molecular docking prediction of potential inhibitors against dengue virus
George W. Hanson, Joseph Adams, Daveson I. B. Kepgang, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access
George W. Hanson, Joseph Adams, Daveson I. B. Kepgang, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access
