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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.

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Showing 14 citing articles:

Accuracy of an artificial intelligence as a medical device as part of a UK-based skin cancer teledermatology service
Helen Marsden, Polychronis Kemos, Marcello Venzi, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 7
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
Fereshteh Hasanzadeh, Colin B. Josephson, G Waters, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Performance of Commercial Dermatoscopic Systems That Incorporate Artificial Intelligence for the Identification of Melanoma in General Practice: A Systematic Review
Ian Miller, Nedeljka Rosić, Michael Stapelberg, et al.
Cancers (2024) Vol. 16, Iss. 7, pp. 1443-1443
Open Access | Times Cited: 4
Effectiveness of an image analyzing AI-based Digital Health Technology to identify Non-Melanoma Skin Cancer and other skin lesions: results of the DERM-003 study
Helen Marsden, Caroline Morgan, Stephanie Austin, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 8
Patient perspectives of artificial intelligence as a medical device in a skin cancer pathway
Anusuya Kawsar, Khawar Hussain, Dilraj Kalsi, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 7
Artificial intelligence and skin melanoma
N. J. Levell, Lucy Thomas
Clinics in Dermatology (2024) Vol. 42, Iss. 5, pp. 460-465
Closed Access | Times Cited: 1
Dermatological Knowledge and Image Analysis Performance of Large Language Models Based on Specialty Certificate Examination in Dermatology
Ka Siu Fan, Ka Hay Fan
Dermato (2024) Vol. 4, Iss. 4, pp. 124-135
Open Access | Times Cited: 1
Artificial Intelligence in Cutaneous Lesions: Where do we Stand and What is Next?
Mara Giavina‐Bianchi, Justin Ko, Mara Giavina, et al.
Frontiers research topics (2024)
Open Access | Times Cited: 1
Assessing the performance of AI-assisted technicians in liver segmentation, Couinaud division, and lesion detection: a pilot study
Luis Núñez, Carlos Ferreira, Amirkasra Mojtahed, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 12, pp. 4264-4272
Open Access
Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection
Shafiqul Islam, Gordon Wishart, Joseph Walls, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A service evaluation of the acceptability of DERM to patients and staff at three Community Diagnostic Hubs: study protocol for interviews
Harriet Hunt, Bogdan Grigore, Javad Javan‐Noughabi, et al.
Research Square (Research Square) (2024)
Open Access
How clinicians view the use of AI tools in the context of good decision-making when detecting melanoma: A qualitative study of dermatologists, GPs, and melanographers. (Preprint)
Brad Partridge, Monika Janda, H. Peter Soyer, et al.
JMIR Dermatology (2024)
Open Access
How do clinicians view the use of AI tools in the context of good decision-making when detecting melanoma? A qualitative study of dermatologists, GPs, and melanographers. (Preprint)
Brad Partridge, Monika Janda, H. Peter Soyer, et al.
(2024)
Closed Access
Artificial Intelligence Applications for Imaging Metabolic Bone Diseases
Amanda Isaac, Aslı Irmak Akdoğan, Danoob Dalili, et al.
Seminars in Musculoskeletal Radiology (2024) Vol. 28, Iss. 05, pp. 610-619
Closed Access
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