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:

Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture
Alexandra Laverde‐Saad, Abdulhadi Jfri, Rubén Sánchez-García, et al.
Skin Research and Technology (2021) Vol. 28, Iss. 1, pp. 35-39
Open Access | Times Cited: 16

Showing 16 citing articles:

Artificial intelligence-assisted dermatology diagnosis: From unimodal to multimodal
Nan Luo, Xiaojing Zhong, Luxin Su, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107413-107413
Open Access | Times Cited: 25

Diagnostic Performance of Radiomics and Deep Learning to Identify Benign and Malignant Soft Tissue Tumors: A Systematic Review and Meta-analysis
Xinpeng Dai, Bingxin Zhao, Jiangnan Zang, et al.
Academic Radiology (2024) Vol. 31, Iss. 10, pp. 3956-3967
Closed Access | Times Cited: 5

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: 15

Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review
Emilie A. Foltz, Alexander Witkowski, Alyssa L. Becker, et al.
Cancers (2024) Vol. 16, Iss. 3, pp. 629-629
Open Access | Times Cited: 4

The State of Artificial Intelligence in Skin Cancer Publications
Maxine Joly-Chevrier, Anne Xuan-Lan Nguyen, Laurence Liang, et al.
Journal of Cutaneous Medicine and Surgery (2024) Vol. 28, Iss. 2, pp. 146-152
Open Access | Times Cited: 4

Applied deep learning in neurosurgery: identifying cerebrospinal fluid (CSF) shunt systems in hydrocephalus patients
Thomas Rhomberg, Felipe Trivik-Barrientos, Arsany Hakim, et al.
Acta Neurochirurgica (2024) Vol. 166, Iss. 1
Open Access | Times Cited: 2

Advances in image‐based diagnosis of nail disorders
Andrea Sechi, Ximena Wortsman, Antonellá Tosti, et al.
Journal of the European Academy of Dermatology and Venereology (2024)
Closed Access | Times Cited: 2

Analysis of international publication trends in artificial intelligence in skin cancer
Yuan Lü, Kai Jin, An Shao, et al.
Clinics in Dermatology (2024)
Closed Access | Times Cited: 1

Inteligencia artificial en dermatología: ¿amenaza u oportunidad?
A. Martorell, A. Martín-Gorgojo, E. Ríos‐Viñuela, et al.
Actas Dermo-Sifiliográficas (2021) Vol. 113, Iss. 1, pp. 30-46
Open Access | Times Cited: 9

[Translated article] Artificial intelligence in dermatology: A threat or an opportunity?
A. Martorell, A. Martín-Gorgojo, E. Ríos‐Viñuela, et al.
Actas Dermo-Sifiliográficas (2022) Vol. 113, Iss. 1, pp. T30-T46
Open Access | Times Cited: 6

The Transformative Potential of AI in Ultrasound for Facial Aesthetics
Diala Haykal, Hugues Cartier, Kyu‐Ho Yi, et al.
Journal of Cosmetic Dermatology (2024)
Open Access

WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging
Xin Wu Cui, Adrian Goudie, Michael Blaivas, et al.
Ultrasound in Medicine & Biology (2024)
Closed Access

Konventionelle Ultraschalldiagnostik in der Dermatologie
Jens Ulrich, Jan Maschke, Axel Winkelmann, et al.
Deleted Journal (2022) Vol. 73, Iss. 7, pp. 563-574
Closed Access | Times Cited: 1

WITHDRAWN: Artificial intelligence in dermatology: A threat or an opportunity?
A. Martorell, A. Martín-Gorgojo, E. Ríos‐Viñuela, et al.
Actas Dermo-Sifiliográficas (2021)
Closed Access

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