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 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

Showing 1-25 of 41 citing articles:

AI Revolutionizing Industries Worldwide: A Comprehensive Overview of Its Diverse Applications
Adib Bin Rashid, MD Ashfakul Karim Kausik
Hybrid Advances (2024) Vol. 7, pp. 100277-100277
Open Access | Times Cited: 71

Challenges of artificial intelligence in medicine and dermatology
Andrzej Grzybowski, Kai Jin, Hongkang Wu
Clinics in Dermatology (2024) Vol. 42, Iss. 3, pp. 210-215
Closed Access | Times Cited: 47

Artificial intelligence in the detection of skin cancer: State of the art
Michał Strzelecki, Marcin Kociołek, M. Strąkowska, et al.
Clinics in Dermatology (2024) Vol. 42, Iss. 3, pp. 280-295
Closed Access | Times Cited: 26

Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis
Isabelle Krakowski, Jiyeong Kim, Zhuo Ran Cai, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 18

Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians
Alex J. DeGrave, Zhuo Ran Cai, Joseph D. Janizek, et al.
Nature Biomedical Engineering (2023)
Open Access | Times Cited: 29

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: 10

Recent Advances in Melanoma Diagnosis and Prognosis Using Machine Learning Methods
Sarah Grossarth, Dominique Mosley, Christopher Madden, et al.
Current Oncology Reports (2023) Vol. 25, Iss. 6, pp. 635-645
Open Access | Times Cited: 17

Ebenen der Explizierbarkeit für medizinische künstliche Intelligenz: Was brauchen wir normativ und was können wir technisch erreichen?
Frank Ursin, Felix Lindner, Timo Ropinski, et al.
Ethik in der Medizin (2023) Vol. 35, Iss. 2, pp. 173-199
Open Access | Times Cited: 16

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: 5

Utilizing dermoscopy methods with machine learning and deep learning algorithms to diagnose skin lesions
Le Tuan Kiet, Tran Thien Hau, Dezheng Bao, et al.
Journal of Physics Conference Series (2025) Vol. 2949, Iss. 1, pp. 012007-012007
Open Access

Dissection of medical AI reasoning processes via physician and generative-AI collaboration
Alex J. DeGrave, Zhuo Ran Cai, Joseph D. Janizek, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 10

Segmentation of skin layers on HFUS images using the attention mechanism
Anna Slian, Katarzyna Korecka, Adriana Polańska, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108668-108668
Closed Access

Generative artificial intelligence-guided user studies: an application for air taxi services
Shengdi Xiao, Jingjing Li, Tatsuki Fushimi, et al.
Behaviour and Information Technology (2025), pp. 1-22
Open Access

What Are Patients’ Perceptions and Attitudes Regarding the Use of Artificial Intelligence in Skin Cancer Screening and Diagnosis? Narrative Review
Preksha Machaiya Kuppanda, Monika Janda, H. Peter Soyer, et al.
Journal of Investigative Dermatology (2025)
Closed Access

AI Dermatology: Reviewing the Frontiers of Skin Cancer Detection Technologies
Zhengyu Yu, Chao Xin, Yingzhe Yu, et al.
(2025)
Closed Access

CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer
Abdullah Aman Khan, Muhammad Zaheer Sajid, Nauman Ali Khan, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 326-326
Open Access

Skin Cancer of the Hand: Current Management and New Horizons
P. Terry, Yoshiko Toyoda, Ines C. Lin
The Journal Of Hand Surgery (2025)
Open Access

The State of AI-Enabled Skin Cancer Diagnostics: Why Are There Two Spectroscopy Devices Available Yet No Imaging Devices?
Jeevan Prakash Gopal, Albert E Zhou, Ashfaq A. Marghoob, et al.
Clinics in Dermatology (2025)
Closed Access

The Role of AI in Health Care
Meenu Patil, Hitendra S. Chaudhari, S. P. Pawar, et al.
Asian Journal of Research in Pharmaceutical Sciences (2025), pp. 155-160
Closed Access

Ethics of artificial intelligence in dermatology
Maggie Chen, Albert E Zhou, Neelesh P Jain, et al.
Clinics in Dermatology (2024) Vol. 42, Iss. 3, pp. 313-316
Closed Access | Times Cited: 3

Leveraging large language models in dermatology
Rubeta Matin, Eleni Linos, Neil Rajan
British Journal of Dermatology (2023) Vol. 189, Iss. 3, pp. 253-254
Open Access | Times Cited: 8

Differences in the annotation between facial images and videos for training an artificial intelligence for skin type determination
Gabriele Maria Lehner, Laura Gockeln, Bettina Marie Naber, et al.
Skin Research and Technology (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 2

Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning
Emil Andersson, Jenny Hult, Carl Troein, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109653-109653
Open Access | Times Cited: 2

Emerging technologies in dermatopathology
Mohamad Goldust, Clay J. Cockerell
Dermatological Reviews (2024) Vol. 5, Iss. 3
Closed Access | Times Cited: 2

Artificial Intelligence in the Non-Invasive Detection of Melanoma
Banu İsmail Mendi, Kıvanç Köse, Lauren Fleshner, et al.
Life (2024) Vol. 14, Iss. 12, pp. 1602-1602
Open Access | Times Cited: 2

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