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:

Artificial Intelligence Applications in Dermatology: Where Do We Stand?
Arieh Gomolin, Elena Netchiporouk, Robert Gniadecki, et al.
Frontiers in Medicine (2020) Vol. 7
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa, Cuntai Guan
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 11, pp. 4793-4813
Open Access | Times Cited: 1405

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
Anna Markella Antoniadi, Yuhan Du, Yasmine Guendouz, et al.
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 5088-5088
Open Access | Times Cited: 378

Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends
Zhouxiao Li, Konstantin Christoph Koban, Thilo L. Schenck, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 22, pp. 6826-6826
Open Access | Times Cited: 104

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 4, pp. 1429-1442
Open Access | Times Cited: 81

A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
Molla Imaduddin Ahmed, Brendan Spooner, John Isherwood, et al.
Cureus (2023)
Open Access | Times Cited: 80

Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations
Hyeon Ki Jeong, Christine Park, Ricardo Henao, et al.
JID Innovations (2022) Vol. 3, Iss. 1, pp. 100150-100150
Open Access | Times Cited: 53

Artificial intelligence in the detection of skin cancer
Eric J. Beltrami, A. Brown, Paul Salmon, et al.
Journal of the American Academy of Dermatology (2022) Vol. 87, Iss. 6, pp. 1336-1342
Closed Access | Times Cited: 41

Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care
Anna Escalé-Besa, Oriol Yélamos, Josep Vidal‐Alaball, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 30

Trends in Graphene-Based E-Skin and Artificial Intelligence for Biomedical Applications—A Review
Sudeep Mudhulu, C. Manjunatha, Sudarshan Balaji, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 18963-18976
Open Access | Times Cited: 22

Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians
Anh Quynh Tran, Long Nguyen, Hao Si Anh Nguyen, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 53

Knowledge and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey Study of Medical Students
Nishila Mehta, Vinyas Harish, Krish Bilimoria, et al.
MedEdPublish (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 44

Principles, applications, and future of artificial intelligence in dermatology
Jesutofunmi A. Omiye, Haiwen Gui, Roxana Daneshjou, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 20

Comparative Performance of Claude-3 Opus and ChatGPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis (Preprint)
Xu Liu, Chaoli Duan, Min-kyu Kim, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e59273-e59273
Open Access | Times Cited: 6

Performance of a deep neural network in teledermatology: a single‐centre prospective diagnostic study
C Muñoz-López, Cristian Ramírez‐Cornejo, Michael A. Marchetti, et al.
Journal of the European Academy of Dermatology and Venereology (2020) Vol. 35, Iss. 2, pp. 546-553
Open Access | Times Cited: 49

Acne in the first three decades of life: An update of a disorder with profound implications for all decades of life
Donald E. Greydanus, Roua Azmeh, Maria Demma Cabral, et al.
Disease-a-Month (2020) Vol. 67, Iss. 4, pp. 101103-101103
Closed Access | Times Cited: 48

Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence
Sophie Soyeon Lim, Jungyoon Ohn, Je‐Ho Mun
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 33

Artificial intelligence for dermatopathology: Current trends and the road ahead
Simon Chen, Roberto A. Novoa
Seminars in Diagnostic Pathology (2022) Vol. 39, Iss. 4, pp. 298-304
Closed Access | Times Cited: 26

Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy
Wajeeha Saeed, Esha Shahbaz, Quratulain Maqsood, et al.
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 5

Utility of artificial intelligence in dermatology: Challenges and perspectives
Sheetal Jadhav, Farheen Tafti, Rohit Thorat, et al.
IP Indian Journal of Clinical and Experimental Dermatology (2025) Vol. 11, Iss. 1, pp. 1-9
Open Access

Impact of Skin Tone Diversity on Out-of-Distribution Detection Methods in Dermatology
Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse
Communications in computer and information science (2025), pp. 124-133
Closed Access

Explainable Artificial Intelligence (XAI) in Healthcare
Asha S Manek, Shruti Vashist, Geeta Tripathi, et al.
(2025), pp. 17-37
Closed Access

Classify Chronic Wounds
Saurav Sarkar, Sudip Das, Abhra Chanda, et al.
(2025), pp. 297-322
Closed Access

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