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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:

The Importance of Incorporating Human Factors in the Design and Implementation of Artificial Intelligence for Skin Cancer Diagnosis in the Real World
Claire Felmingham, Nikki R. Adler, Zongyuan Ge, et al.
American Journal of Clinical Dermatology (2020) Vol. 22, Iss. 2, pp. 233-242
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine (2022) Vol. 28, Iss. 5, pp. 924-933
Open Access | Times Cited: 247
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
BMJ (2022), pp. e070904-e070904
Open Access | Times Cited: 162
General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study
Christoph Buck, Eileen Doctor, Jasmin Hennrich, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 1, pp. e28916-e28916
Open Access | Times Cited: 74
Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention mechanism
Abdulrahman Alqarafi, Arfat Ahmad Khan, Rakesh Kumar Mahendran, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106313-106313
Open Access | Times Cited: 16
Artificial intelligence and skin cancer
Maria L. Wei, Mikio Tada, Alexandra So, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 15
Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review
Onur Asan, Avishek Choudhury
JMIR Human Factors (2021) Vol. 8, Iss. 2, pp. e28236-e28236
Open Access | Times Cited: 70
Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence–Enabled Clinical Decision Support Systems: Literature Review
Michael Knop, Sebastian Weber, Marius Mueller, et al.
JMIR Human Factors (2022) Vol. 9, Iss. 1, pp. e28639-e28639
Open Access | Times Cited: 49
Values and Ethics in Information Systems
Sarah Spiekermann, Hanna Krasnova, Oliver Hinz, et al.
Business & Information Systems Engineering (2022) Vol. 64, Iss. 2, pp. 247-264
Open Access | Times Cited: 38
Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Shabbir Syed-Abdul, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 3432-3446
Open Access | Times Cited: 25
The voice of healthcare: introducing digital decision support systems into clinical practice - a qualitative study
Ann Frisinger, Panagiotis Papachristou
BMC Primary Care (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 22
Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications
Katherine M. Stiff, Matthew Franklin, Yufei Zhou, et al.
Pigment Cell & Melanoma Research (2022) Vol. 35, Iss. 2, pp. 203-211
Closed Access | Times Cited: 30
Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?
H Evans, David Snead
Histopathology (2023) Vol. 84, Iss. 2, pp. 279-287
Open Access | Times Cited: 20
Radiologists’ perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: A qualitative study
Katharina Wenderott, Jim Krups, Julian A. Luetkens, et al.
Applied Ergonomics (2024) Vol. 117, pp. 104243-104243
Open Access | Times Cited: 6
The effects of explanations on automation bias
Mor Vered, Tali Livni, Piers D. L. Howe, et al.
Artificial Intelligence (2023) Vol. 322, pp. 103952-103952
Closed Access | Times Cited: 14
Automated Skin Cancer Diagnosis and Localization Using Deep Reinforcement Learning
G. Renith, A. Senthilselvi
IETE Journal of Research (2024) Vol. 70, Iss. 4, pp. 3631-3645
Closed Access | Times Cited: 5
Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
Vasileios Nittas, Paola Daniore, Constantin Landers, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 1, pp. e0000189-e0000189
Open Access | Times Cited: 12
How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey
Sebastian Weber, Marc Wyszynski, Marie Godefroid, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 146-159
Open Access | Times Cited: 4
Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: an Experimental Online Study Among Dermatologists (Preprint)
Alisa Küper, Georg Lodde, Elisabeth Livingstone, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e58660-e58660
Open Access
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Gyeo‐Re Han, Artem Goncharov, Merve Eryılmaz, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Julia Cecil, Anne‐Kathrin Kleine, Eva Lermer, et al.
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access
Artificial intelligence image recognition of melanoma and basal cell carcinoma in racially diverse populations
Pushkar Aggarwal, Francis Papay
Journal of Dermatological Treatment (2021) Vol. 33, Iss. 4, pp. 2257-2262
Closed Access | Times Cited: 24
Minimum labelling requirements for dermatology artificial intelligence‐based Software as Medical Device (SaMD): A consensus statement
Åsa Ingvar, Ayooluwatomiwa Oloruntoba, Maithili Sashindranath, et al.
Australasian Journal of Dermatology (2024) Vol. 65, Iss. 3
Open Access | Times Cited: 3
Psychological Traits and Appropriate Reliance: Factors Shaping Trust in AI
Alisa Küper, Nicole C. Krämer
International Journal of Human-Computer Interaction (2024), pp. 1-17
Open Access | Times Cited: 3
Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis
Katharina Wenderott, Jim Krups, Fiona Zaruchas, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
Incorporating artificial intelligence in medical diagnosis: A case for an invisible and (un)disruptive approach
Matthew Sibbald, Laura Zwaan, Yusuf Yılmaz, et al.
Journal of Evaluation in Clinical Practice (2022) Vol. 30, Iss. 1, pp. 3-8
Closed Access | Times Cited: 14
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