Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Towards successful implementation of artificial intelligence in skin cancer care: a qualitative study exploring the views of dermatologists and general practitioners
Tobias E. Sangers, Marlies Wakkee, Folkert J. Moolenburgh, et al.
Archives of Dermatological Research (2022)
Open Access | Times Cited: 21

Showing 21 citing articles:

Artificial Intelligence in Skin Cancer Diagnosis: A Reality Check
Gabriella Brancaccio, Anna Balato, Josep Malvehy, et al.
Journal of Investigative Dermatology (2023) Vol. 144, Iss. 3, pp. 492-499
Open Access | Times Cited: 26
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
Professional standards and regulations for the use of artificial intelligence in dermatology
Mohamad Goldust, Jane M. Grant‐Kels
International Journal of Dermatology (2024) Vol. 63, Iss. 10
Closed Access | Times Cited: 9
Patient and dermatologists' perspectives on augmented intelligence for melanoma screening: A prospective study
Elisabeth Victoria Goessinger, Johannes‐Christian Niederfeilner, Sara E. Cerminara, et al.
Journal of the European Academy of Dermatology and Venereology (2024) Vol. 38, Iss. 12, pp. 2240-2249
Closed Access | Times Cited: 7
Exploring Motives Behind Ideal Melanoma Survivorship Care Plans With Multiple Stakeholders: A Cocreation Study
Nadia Christina Willemina Kamminga, Marjolein Lugtenberg, Julia Annabel Van den Broek, et al.
JMIR Cancer (2025) Vol. 11, pp. e55746-e55746
Open Access
Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses’ perspectives
Wesam T. Almagharbeh, Hazem AbdulKareem Alfanash, Khaldoon Aied Alnawafleh, et al.
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access
Gender Disparities in Melanoma: Advances in Diagnosis, Treatment, and the Role of Artificial Intelligence
Diala Ra’Ed Kamal Kakish, Jehad Feras AlSamhori, Lana N. Qaqish, et al.
Dermatological Reviews (2025) Vol. 6, Iss. 1
Open Access
Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis
Rachel Kuo, Alexander Freethy, Justin D. Smith, et al.
EClinicalMedicine (2024) Vol. 71, pp. 102555-102555
Open Access | Times Cited: 4
Assessing the Behavioral Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels
Pelin Uymaz, Ali Osman Uymaz, Yakup Akgül
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 18, pp. 5229-5246
Closed Access | Times Cited: 10
Emerging technologies in dermatopathology
Mohamad Goldust, Clay J. Cockerell
Dermatological Reviews (2024) Vol. 5, Iss. 3
Closed Access | Times Cited: 1
THE ANALYSIS STUDY OF ARTIFICIAL INTELIGENCE FOR SKIN CANCER : A COMPREHENSIVE SYSTEMATIC REVIEW
Tia Alviani Juwita, Indah Sari Siregar
Journal of Advance Research in Medical & Health Science (ISSN 2208-2425) (2024) Vol. 10, Iss. 6, pp. 104-112
Open Access | Times Cited: 1
A Report and Proposals for Future Activity from the Inaugural Artificial Intelligence in Dermatology Symposium Held at the International Societies for Investigative Dermatology 2023 Meeting
Shannon Wongvibulsin, Tobias E. Sangers, Claire Clibborn, et al.
JID Innovations (2023) Vol. 4, Iss. 1, pp. 100236-100236
Open Access | Times Cited: 3
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
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
A scoping review of fear, resilience, reluctance, scepticism and anxiety towards medical AI among medical professionals and suggestions for successful implementation of AI into medical practice (Preprint)
Arvai Nora, Gellért Katonai, Bertalan Meskó
(2024)
Closed Access
Implementation of an algorithm for predicting exacerbations in telemonitoring: A multimethod study of patients’ and clinicians’ experiences
Sisse H. Laursen, Lisa Korsbakke Emtekær Hæsum, Julie Egmose, et al.
International Journal of Nursing Studies Advances (2024) Vol. 7, pp. 100257-100257
Open Access
Obstacles to the Development of the Use of Artificial Intelligence from the Point of View of Physicians Working in Selected AJA Medical Centers: A Qualitative Content Analysis Study
Esfandiar Esfandiari, Fatemeh Kalroozi, Nahid Mehrabi, et al.
Jundishapur Journal of Chronic Disease Care (2024) Vol. 14, Iss. 1
Open Access
Healthcare Professionals Concerns About Medical AI: A Scoping Review of Psychological Barriers and Strategies for Successful Implementation (Preprint)
Arvai Nora, Gellért Katonai, Bertalan Meskó
Journal of Medical Internet Research (2024)
Open Access
Are there differences between the diagnostic test advice of an online triage tool and a general practitioner? A vignette based qualitative study on the decision-making for sexual transmitted infections tests (Preprint)
Kyma Schnoor, Anke Versluis, Niels H. Chavannes, et al.
JMIR Human Factors (2023)
Open Access | Times Cited: 1
A Study on Optimization and Evaluation of the Visualization of Complex Algorithm Results in Remote Monitoring of COPD
Mathilde D. Sander, Rikke L. Madsen, Sisse H. Laursen, et al.
Studies in health technology and informatics (2023)
Open Access
Exploring Motives Behind Ideal Melanoma Survivorship Care Plans With Multiple Stakeholders: A Cocreation Study (Preprint)
Nadia Christina Willemina Kamminga, Marjolein Lugtenberg, Julia Annabel Van den Broek, et al.
(2023)
Closed Access
Page 1

Scroll to top