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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:

An Intelligent Diagnostic Model for Melasma Based on Deep Learning and Multimode Image Input
Lin Liu, Liang Chen, Yuzhou Xue, et al.
Dermatology and Therapy (2022) Vol. 13, Iss. 2, pp. 569-579
Open Access | Times Cited: 15

Showing 15 citing articles:

Artificial Intelligence Application in Diagnosing, Classifying, Localizing, Detecting and Estimation the Severity of Skin Condition in Aesthetic Medicine: A Review
Kar Wai Alvin Lee, Lisa Kwin Wah Chan, Cheuk Hung Lee, et al.
Dermatological Reviews (2025) Vol. 6, Iss. 1
Closed Access | Times Cited: 1
Artificial Intelligence in Cosmetic Dermatology: A Systematic Literature Review
Pat Vatiwutipong, Sirawich Vachmanus, Thanapon Noraset, et al.
IEEE Access (2023) Vol. 11, pp. 71407-71425
Open Access | Times Cited: 22
Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability
Fan Zhong, Kaiqiao He, Mengqi Ji, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Skin, scalpel and the silicon chip: a systematic review on the accuracy, bias and data governance of artificial intelligence in dermatology, minimally invasive aesthetics, aesthetic, plastic and reconstructive surgery
Eqram Rahman, Shabnam Sadeghi Esfahlani, Parinitha Rao, et al.
European Journal of Plastic Surgery (2025) Vol. 48, Iss. 1
Closed Access
Deep Multi-Modal Skin-Imaging-Based Information-Switching Network for Skin Lesion Recognition
Yingzhe Yu, Huiqiong Jia, Li Zhang, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 282-282
Open Access
Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
Junpeng Zhang, Fan Zhong, Kaiqiao He, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3506-3506
Open Access | Times Cited: 13
DEEPSCAN: Integrating Vision Transformers for Advanced Skin Lesion Diagnostics
A Jenefa, Edward Naveen, Vinayakumar Ravi, et al.
The Open Dermatology Journal (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Applying Artificial Intelligence to Support the Detection and Treatment of Melasma
Van Lam Ho, Vu Tuan Anh, Tran Xuan Viet
International Journal of Membrane Science and Technology (2024) Vol. 11, Iss. 1, pp. 192-206
Open Access
Topical isoniazid as a novel treatment for melasma: A randomized, double‐blind, vehicle‐controlled clinical trial
Najmeh Ahramiyanpour, Zahra Mahmoudi, Nazanin Zeinali Nezhad, et al.
Journal of Cosmetic Dermatology (2024)
Open Access
Analysis of the use of digital technologies in the preliminary diagnosis of dermatological diseases: a systematic review
Angie Fiorella Sapaico-Alberto, Sandro Olaya-Cotera, Rosalynn Ornella Flores-Castañeda
Archives of Dermatological Research (2024) Vol. 317, Iss. 1
Closed Access
Using Machine Learning to Detect Bixonimania: An Early Feasibility Study
Lazljiv Izgubljenovic, Nao Tippet, Betsy Thurberg, et al.
(2024)
Open Access
“It is hard to remove from my eye”: Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) Performers
Zeyu Xiong, Shihan Fu, Yanying Zhu, et al.
(2024), pp. 1-16
Open Access
Advantages and Disadvantages of Using AI in Dermatology
Nasim Gholizadeh, Ghasem Rahmatpour Rokni, Mahsa Babaei
Dermatological Reviews (2024) Vol. 5, Iss. 4
Closed Access
Melasma: A Clinical and Epidemiological Single-Group Observational Study in the Greek Population
Eftychia Platsidaki, Vasiliki Markantoni, Electra Nicolaidou, et al.
Dermatology and Therapy (2024) Vol. 14, Iss. 11, pp. 3183-3192
Open Access
Using Machine Learning Algorithms to Diagnosis Melasma from Face Images
Van Lam Ho, Tuan A. Vu, Xuan Viet Tran, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 91-101
Closed Access | Times Cited: 1
Automatically measuring dyspigmentation severity of the skin using a convolutional neural network
Léa Gazeau, Hang Tuan Nguyen
(2023) Vol. 3, pp. 1-1
Closed Access
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