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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.

Requested Article:

Position statement of the EADV Artificial Intelligence (AI) Task Force on AI‐assisted smartphone apps and web‐based services for skin disease
Tobias E. Sangers, Harald Kittler, Andreas Blum, et al.
Journal of the European Academy of Dermatology and Venereology (2023) Vol. 38, Iss. 1, pp. 22-30
Open Access | Times Cited: 25

Showing 25 citing articles:

A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis
María Paz Salinas, Javiera Sepúlveda, Leonel Hidalgo, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 17
How Artificial Intelligence Constrains the Human Experience
Ana Valenzuela, Stefano Puntoni, Donna L. Hoffman, et al.
Journal of the Association for Consumer Research (2024) Vol. 9, Iss. 3, pp. 241-256
Closed Access | Times Cited: 9
Hybrid cosmetic dermatology: AI generated horizon
Diala Haykal, Lilit Garibyan, Frédéric Flament, et al.
Skin Research and Technology (2024) Vol. 30, Iss. 5
Open Access | Times Cited: 6
El valor de las imágenes digitales en 2D en la práctica dermatológica
Melina Soledad Lois
Piel (2025)
Closed Access
A smart facial acne disease monitoring for automate severity assessment using AI-enabled cloud-based internet of things
Umara Khalid, Li Chen, Abdullah Ayub Khan, et al.
Deleted Journal (2025) Vol. 28, 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
Exploring the landscape of AI adoption in cosmetic medicine and surgery: Insights from the 25th IMCAS Congress (International Master Course in Aging Science)
Diala Haykal, Benjamin Ascher, Hugues Cartier, et al.
Journal of Cosmetic Dermatology (2024) Vol. 23, Iss. 8, pp. 2673-2675
Open Access | Times Cited: 4
The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection
Nicholas R. Kurtansky, B D'Alessandro, Maura C. Gillis, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Advances in image‐based diagnosis of nail disorders
Andrea Sechi, Ximena Wortsman, Antonellá Tosti, et al.
Journal of the European Academy of Dermatology and Venereology (2024)
Closed Access | Times Cited: 2
The rise of artificial intelligence in dermatology: Perspectives and potentials
Yu-Ping Hsiao
Dermatologica Sinica (2024) Vol. 42, Iss. 2, pp. 77-79
Open Access | Times Cited: 1
Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present
Linda Tognetti, Chiara Miracapillo, L. Simone, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 758-758
Open Access | Times Cited: 1
Opportunities for digitally-enabled personalization and decision support for pediatric growth hormone therapy
Paul Dimitri, Paula van Dommelen, Indraneel Banerjee, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 1
Emerging and Pioneering AI Technologies in Aesthetic Dermatology: Sketching a Path Toward Personalized, Predictive, and Proactive Care
Diala Haykal
Cosmetics (2024) Vol. 11, Iss. 6, pp. 206-206
Open Access | Times Cited: 1
Melanocytic lesions: How to navigate variations in human and artificial intelligence
Christian Posch
Journal of the European Academy of Dermatology and Venereology (2024) Vol. 38, Iss. 5, pp. 792-793
Open Access
The application of artificial intelligence technologies in management
Giedrius Čyras, Vita Marytė Janušauskienė
Deleted Journal (2024)
Closed Access
Artificial Intelligence Smartphone Application for Detection of Simulated Skin Changes: An In Vivo Pilot Study
G.L. Grove, Gorm Reedtz, Brian Vangsgaard, et al.
Skin Research and Technology (2024) Vol. 30, Iss. 10
Open Access
Visual explainability of 250 skin diseases viewed through the eyes of an AI‐based, self‐supervised vision transformer—A clinical perspective
Ramy Abdel Mawgoud, Christian Posch
JEADV Clinical Practice (2024)
Open Access
Artificial intelligence: A new frontier in dermatology
Sebastian Sitaru, Alexander Zink
Journal of the European Academy of Dermatology and Venereology (2024) Vol. 38, Iss. 12, pp. 2199-2200
Closed Access
The Transformative Potential of AI in Ultrasound for Facial Aesthetics
Diala Haykal, Hugues Cartier, Kyu‐Ho Yi, et al.
Journal of Cosmetic Dermatology (2024)
Open Access
Snap Diagnosis: Developing an Artificial Intelligence Algorithm for Penile Cancer Detection from Photographs
Jianliang Liu, J O’Brien, Kishor Nandakishor, et al.
Cancers (2024) Vol. 16, Iss. 23, pp. 3971-3971
Open Access
Toward secure mobile applications through proper authentication mechanisms
Abdulmohsen Saud Albesher, Amal Alkhaldi, Ahmed Aljughaiman
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315201-e0315201
Open Access
A perspective on the current state of smartphone-based mobile applications for scar assessment
Peter Moortgat, Jill Meirte, Mieke Anthonissen, et al.
Burns Open (2024) Vol. 9, pp. 100389-100389
Closed Access
Diagnostic errors during perceptual learning in dermatology: a prospective cohort study of Finnish undergraduate students
Alexander Salava, Viljami Salmela
Clinical and Experimental Dermatology (2024) Vol. 49, Iss. 8, pp. 866-874
Open Access
European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics - Update 2024
Claus Garbe, Teresa Amaral, Ketty Peris, et al.
European Journal of Cancer (2024) Vol. 215, pp. 115152-115152
Open Access
Künstliche Intelligenz in Hautkrebs-Smartphone-Apps
Tobias E. Sangers
Deleted Journal (2023) Vol. 75, Iss. 4, pp. 344-346
Closed Access
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