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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:

Web-based study on Chinese dermatologists’ attitudes towards artificial intelligence
Changbing Shen, Chengxu Li, Feng Xu, et al.
Annals of Translational Medicine (2020) Vol. 8, Iss. 11, pp. 698-698
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey
Mingyang Chen, Bo Zhang, Ziting Cai, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 93
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 63
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review
Becca Beets, Todd P. Newman, Emily L. Howell, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e40337-e40337
Open Access | Times Cited: 49
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence
Andreia Martinho, Maarten Kroesen, Caspar Chorus
Artificial Intelligence in Medicine (2021) Vol. 121, pp. 102190-102190
Open Access | Times Cited: 79
Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan
Nader Ghotbi, Tung Manh Ho, Peter Mantello
AI & Society (2021) Vol. 37, Iss. 1, pp. 283-290
Closed Access | Times Cited: 55
Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Vinh Vo, Gang Chen, Yves Saint James Aquino, et al.
Social Science & Medicine (2023) Vol. 338, pp. 116357-116357
Open Access | Times Cited: 28
International Teledermatology Review
Karen McKoy, S Halpern, Kudakwashe Mutyambizi
Current Dermatology Reports (2021) Vol. 10, Iss. 3, pp. 55-66
Open Access | Times Cited: 37
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
Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study
Yanhua Chen, Ziye Wu, Peicheng Wang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e48249-e48249
Open Access | Times Cited: 11
Dermatologists’ Perspectives on Artificial Intelligence and Augmented Intelligence — A Cross-sectional Survey
Caroline A. Nelson, Swapna Pachauri, Rosie Balk, et al.
JAMA Dermatology (2021) Vol. 157, Iss. 7, pp. 871-871
Open Access | Times Cited: 23
Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses
Wilter C. Morales-García, Liset Z. Sairitupa-Sanchez, Sandra B. Morales-García, et al.
Behavioral Sciences (2024) Vol. 14, Iss. 6, pp. 437-437
Open Access | Times Cited: 2
Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings
Chengxu Li, Wenmin Fei, Changbing Shen, et al.
Chinese Medical Journal (2020) Vol. 133, Iss. 17, pp. 2020-2026
Open Access | Times Cited: 17
Attitudes of optometrists towards artificial intelligence for the diagnosis of retinal disease: A cross‐sectional mail‐out survey
Sharon Ho, Gordon S. Doig, Angelica Ly
Ophthalmic and Physiological Optics (2022) Vol. 42, Iss. 6, pp. 1170-1179
Open Access | Times Cited: 8
Acceptability of artificial intelligence among Indian dermatologists
Rashi Pangti, Sanjeev Gupta, Praanjal Gupta, et al.
Indian Journal of Dermatology Venereology and Leprology (2021) Vol. 88, pp. 232-234
Open Access | Times Cited: 7
Experiences Regarding Use and Implementation of Artificial Intelligence–Supported Follow-Up of Atypical Moles at a Dermatological Outpatient Clinic: Qualitative Study
Elisabeth Rygvold Haugsten, Tine Vestergaard, Bettina Trettin
JMIR Dermatology (2023) Vol. 6, pp. e44913-e44913
Open Access | Times Cited: 2
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
Chinese colposcopists' attitudes toward the colposcopic artificial intelligence auxiliary diagnostic system (CAIADS): A nation-wide, multi-center survey
Huike Wang, Zichen Ye, Peiyu Zhang, et al.
Digital Health (2024) Vol. 10
Open Access
An Investigation of University Students' Attitudes Towards Artificial Intelligence Ethics
Gülsüm Aşıksoy
International Journal of Engineering Pedagogy (iJEP) (2024) Vol. 14, Iss. 8, pp. 153-169
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
My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management
Peter Mantello, Tung Manh Ho, Quan‐Hoang Vuong, et al.
(2021)
Open Access | Times Cited: 2
Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
Chengxu Li, Je‐Ho Mun, Paola Pasquali, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 2
My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management
Peter Mantello, Tung Manh Ho, Minh‐Hoang Nguyen, et al.
(2021)
Open Access | Times Cited: 1
Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study (Preprint)
Yanhua Chen, Ziye Wu, Peicheng Wang, et al.
(2023)
Open Access
Understanding emotional AI_A research proposal
Tung Manh Ho
(2020)
Closed Access
Experiences Regarding Use and Implementation of Artificial Intelligence–Supported Follow-Up of Atypical Moles at a Dermatological Outpatient Clinic: Qualitative Study (Preprint)
Elisabeth Rygvold Haugsten, Tine Vestergaard, Bettina Trettin
(2022)
Open Access
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