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:

Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project
Dmitry Kolobkov, Satyarth Mishra Sharma, Aleksandr Medvedev, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 7

Showing 7 citing articles:

Future-proofing genomic data and consent management: a comprehensive review of technology innovations
Adrien Oliva, Anubhav Kaphle, Roc Reguant, et al.
GigaScience (2024) Vol. 13
Open Access | Times Cited: 4

The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease
Mohammed Andaleeb Chowdhury, Rodrigue Rizk, J. Christine Chiu, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 427-427
Open Access

Fed-GWAS: Privacy-preserving individualized incentive-based cross-device federated GWAS learning
Omid Torki, Maede Ashouri-Talouki, Mina Alishahi
Journal of Information Security and Applications (2025) Vol. 89, pp. 104002-104002
Closed Access

Prequalification of genome-based newborn screening for severe childhood genetic diseases through federated training based on purifying hyperselection
Stephen F. Kingsmore, Meredith S. Wright, Laurie D. Smith, et al.
The American Journal of Human Genetics (2024) Vol. 111, Iss. 12, pp. 2618-2642
Closed Access | Times Cited: 1

Federated Learning: Breaking Down Barriers in Global Genomic Research
Giulia Calvino, Cristina Peconi, Claudia Strafella, et al.
Genes (2024) Vol. 15, Iss. 12, pp. 1650-1650
Open Access | Times Cited: 1

Privacy-by-Design with Federated Learning will drive future Rare Disease Research
Simon Süwer, Md Shihab Ullah, Niklas Probul, et al.
Journal of Neuromuscular Diseases (2024)
Closed Access

Privacy-Enhanced Federated Learning for Rare Genetic Disorder Classification with EHR
Afreen Siganporia, Maitree Varia, Uraaz Gorimar, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 1

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