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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:

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: 31

Showing 1-25 of 31 citing articles:

Malignant Melanoma: An Overview, New Perspectives, and Vitamin D Signaling
Radomir M. Slominski, Tae‐Kang Kim, Zorica Janjetović, et al.
Cancers (2024) Vol. 16, Iss. 12, pp. 2262-2262
Open Access | Times Cited: 19
Advances in melanoma: epidemiology, diagnosis, and prognosis
Shayan Waseh, Jason B. Lee
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 25
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 23
Deep learning in computational dermatopathology of melanoma: A technical systematic literature review
Daniel Sauter, Georg Lodde, Felix Nensa, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107083-107083
Open Access | Times Cited: 17
The Use of Artificial Intelligence for Skin Cancer Detection in Asia—A Systematic Review
Xiaojie Ang, Choon Chiat Oh
Diagnostics (2025) Vol. 15, Iss. 7, pp. 939-939
Open Access
A risk‐scoring model for the differential diagnosis of lentigo maligna and other atypical pigmented facial lesions of the face: The facial iDScore
Linda Tognetti, Alessandra Cartocci, Magdalena Żychowska, et al.
Journal of the European Academy of Dermatology and Venereology (2023) Vol. 37, Iss. 11, pp. 2301-2310
Open Access | Times Cited: 11
Weakly supervised deep learning image analysis can differentiate melanoma from naevi on haematoxylin and eosin‐stained histopathology slides
Nigel Maher, Homay Danaei Mehr, Cong Cong, et al.
Journal of the European Academy of Dermatology and Venereology (2024)
Closed Access | Times Cited: 4
Artificial intelligence as the clinical assistant for detection of femoral neck fracture: intelligent medicine brings the bright future
Pengran Liu, Dan Zhang, Yufei Chen, et al.
Heliyon (2025) Vol. 11, Iss. 6, pp. e42520-e42520
Open Access
Amelanotic Melanoma: Diagnostic Challenges, Treatment Innovations, and the Emerging Role of AI in Early Detection
Diala Ra’Ed Kamal Kakish, Jehad Feras AlSamhori, Ahmad Ayman, et al.
Journal of Medicine Surgery and Public Health (2025), pp. 100189-100189
Open Access
A Secure Framework toward IoMT‐Assisted Data Collection, Modeling, and Classification for Intelligent Dermatology Healthcare Services
Md Khairul Islam, Chetna Kaushal, Md Al Amin, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 16
Artificial Intelligence Applications in Healthcare
Usman Ahmad Usmani, Ari Happonen, Junzo Watada, et al.
Lecture notes in networks and systems (2023), pp. 1085-1104
Closed Access | Times Cited: 9
A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
Eman Rezk, May Haggag, Mohamed Eltorki, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100259-100259
Open Access | Times Cited: 9
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
Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review
Sana Nazari, Rafael García
Life (2023) Vol. 13, Iss. 11, pp. 2123-2123
Open Access | Times Cited: 8
Exploring dermoscopic structures for melanoma lesions' classification
Fiza Saeed Malik, Muhammad Haroon Yousaf, Hassan Ahmed Sial, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 2
Computational Intelligence-Based Melanoma Detection and Classification Using Dermoscopic Images
Thavavel Vaiyapuri, Prasanalakshmi Balaji, S. Shridevi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 10
Early diagnosis of skin oncologic diseases using artificial intelligence technologies
Simon О. Samokhin, А. В. Патрушев, Yulia I. Akaeva, et al.
Vestnik dermatologii i venerologii (2024) Vol. 100, Iss. 1, pp. 38-46
Open Access | Times Cited: 1
Unveiling the Spectrum of UV-Induced DNA Damage in Melanoma: Insights from AI-Based Analysis of Environmental Factors, Repair Mechanisms, and Skin Pigment Interactions
Maram Fahaad Almufareh
IEEE Access (2024) Vol. 12, pp. 64837-64860
Open Access | Times Cited: 1
Artificial Intelligence in Skin Cancer: A Literature Review from Diagnosis to Prevention and Beyond
Khaled Khalifa Said, Chibana Balgacem Rhaimi, Salem Aasseed Alatresh
Journal for Research in Applied Sciences and Biotechnology (2024) Vol. 3, Iss. 5, pp. 258-266
Open Access | Times Cited: 1
Teledermoscopy – An Emerging Technology for Skin Cancer Detection
Kristen Delans
Telehealth and Medicine Today (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Use of Artificial Intelligence in Skin Aging
Victoria Jiminez, Minh Thanh Chung, Mohammad Saleem, et al.
OBM Geriatrics (2023) Vol. 07, Iss. 02, pp. 1-8
Open Access | Times Cited: 2
JIANet: Jigsaw-Invariant Self-Supervised Learning of Autoencoder-Based Reconstruction for Melanoma Segmentation
Hui Zhang, Jiaxuan Liu, Tianyue Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 4
A Cervical Cancer Detection System Using Genetic Algorithm Enhanced Context-Aware Feature Selection
Anam Iqbal, Shaima Qureshi, Mohammad Ahsan Chishti
Research Square (Research Square) (2024)
Open Access
SIMPLE EXPRESS ANALYSIS OF FERMENTED BEVERAGES QUALITY
П. А. Левашов, Sergey Smirnov
(2024)
Open Access
An Edge Computing-Based Factor-Aware Novel Framework for Early Detection and Classification of Melanoma Disease Through a Customized VGG16 Architecture With Privacy Preservation and Real-Time Analysis
Maram Fahaad Almufareh
IEEE Access (2024) Vol. 12, pp. 113580-113596
Open Access
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