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 Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment
Ricardo Buettner, Florian Klenk, Marc Ebert
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2020), pp. 1673-1678
Closed Access | Times Cited: 6

Showing 6 citing articles:

Automated Machine Learning for Healthcare and Clinical Notes Analysis
Akram Mustafa, Mostafa Rahimi Azghadi
Computers (2021) Vol. 10, Iss. 2, pp. 24-24
Open Access | Times Cited: 101

Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm
Xiaohua Li, Jusheng Zhang, Fatemeh Safara
Neural Processing Letters (2021) Vol. 55, Iss. 1, pp. 153-169
Open Access | Times Cited: 49

Data Analytics in Healthcare: A Tertiary Study
Toni Taipalus, Ville Isomöttönen, Hanna Erkkilä, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 12

A review of current systems for annotation of cell and tissue images in digital pathology
Anna Korzyńska, Łukasz Roszkowiak, Jakub Żak, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 4, pp. 1436-1453
Open Access | Times Cited: 15

A Review of Virtual Reality and Augmented Reality Literature in Healthcare
Ricardo Buettner, Hermann Baumgartl, Tim Konle, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 11

Overview of Machine Learning Approaches Applied in Disease Profiling
Ricardo Buettner, Tarik Kuri, Andreas Feist, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 2

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