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:

Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov
Claus Zippel, Sabine Bohnet-Joschko
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 10, pp. 5072-5072
Open Access | Times Cited: 19

Showing 19 citing articles:

How can machine learning and multiscale modeling benefit ocular drug development?
Nannan Wang, Yunsen Zhang, Wei Wang, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114772-114772
Closed Access | Times Cited: 24

Protecting patient safety and privacy in the era of artificial intelligence
Andrea Alonso, Jeffrey J. Siracuse
Seminars in Vascular Surgery (2023) Vol. 36, Iss. 3, pp. 426-429
Closed Access | Times Cited: 16

Use of machine learning models for the prognostication of liver transplantation: A systematic review
Gidion Chongo, Jonathan Soldera
World Journal of Transplantation (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Clinical deployment environments: Five pillars of translational machine learning for health
Steve Harris, Tim Bonnici, Thomas Keen, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 23

Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov
Anran Wang, Xiaolei Xiu, Shengyu Liu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13691-13691
Open Access | Times Cited: 16

Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: A Cross-Sectional Study with Temporal Trends 2010-2023 (Preprint)
Shoko Maru, Matthias Michael, Ryohei Kuwatsuru, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e57750-e57750
Open Access | Times Cited: 3

Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review
Ahnjili Zhuparris, Annika A. de Goede, Iris E. Yocarini, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5243-5243
Open Access | Times Cited: 6

Artificial intelligence in gastroenterology: Where are we heading?
Glenn Koleth, James Emmanue, Marco Spadaccini, et al.
Endoscopy International Open (2022) Vol. 10, Iss. 11, pp. E1474-E1480
Open Access | Times Cited: 10

https://allacademicresearch.com/index.php/AJSTEME/article/view/89
Janifer Nahar, Nusrat Jahan, Sadia Afrin Shorna, et al.
Academic journal on science, technology, engineering & mathematics education. (2024) Vol. 4, Iss. 3, pp. 63-74
Open Access | Times Cited: 1

Artificial intelligence and big data from digital health applications: publication trends and analysis
Selma ARSLANTAŞ
Journal of Health Organization and Management (2024)
Closed Access | Times Cited: 1

The past, the present and the future of machine learning and artificial intelligence in anesthesia and Postanesthesia Care Units (PACU)
Romain Pirracchio
Minerva Anestesiologica (2022) Vol. 88, Iss. 11
Closed Access | Times Cited: 7

Artificial intelligence in anesthesiology
Freja Gheysen, Steffen Rex
Acta Anaesthesiologica Belgica (2023) Vol. 74, Iss. 3, pp. 185-194
Open Access | Times Cited: 3

Artificial intelligence application in vascular diseases
Κωνσταντίνος Σπανός, Athanasios Giannoukas, George Kouvelos, et al.
Journal of Vascular Surgery (2022) Vol. 76, Iss. 3, pp. 615-619
Open Access | Times Cited: 3

Machine Learning Applications in Healthcare
Vanshika, Neetu Gupta
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-6
Closed Access | Times Cited: 3

Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis
Alissa Hutto, Tarek M. Zikry, Buck Bohac, et al.
Health Informatics Journal (2024) Vol. 30, Iss. 4
Open Access

Deep Learning and Precision Medicine
Nandakumar Selvasudha, Shah Alam Khan, Poovi Ganesan, et al.
(2022), pp. 127-169
Closed Access

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