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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:

A Non-Invasive Interpretable Diagnosis of Melanoma Skin Cancer Using Deep Learning and Ensemble Stacking of Machine Learning Models
Iftiaz A. Alfi, Md. Mahfuzur Rahman, Mohammad Shorfuzzaman, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 726-726
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
Talha Mahboob Alam, Kamran Shaukat, Wasim Ahmad Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2115-2115
Open Access | Times Cited: 122
Contributions of various driving factors to air pollution events: Interpretability analysis from Machine learning perspective
Tianshuai Li, Qingzhu Zhang, Yanbo Peng, et al.
Environment International (2023) Vol. 173, pp. 107861-107861
Open Access | Times Cited: 42
Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification
G. Akilandasowmya, G. Nirmaladevi, Su. Suganthi, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105306-105306
Closed Access | Times Cited: 42
An efficient medical image classification network based on multi-branch CNN, token grouping Transformer and mixer MLP
Shiwei Liu, Liejun Wang, Wenwen Yue
Applied Soft Computing (2024) Vol. 153, pp. 111323-111323
Closed Access | Times Cited: 17
AI-Driven Enhancement of Skin Cancer Diagnosis: A Two-Stage Voting Ensemble Approach Using Dermoscopic Data
Tsu‐Man Chiu, Yunchang Li, I-Chun Chi, et al.
Cancers (2025) Vol. 17, Iss. 1, pp. 137-137
Open Access | Times Cited: 1
Enhanced Skin Cancer Diagnosis via Deep Convolutional Neural Networks with Ensemble Learning
Mohd Anas Khan, Shahzad Alam, Waseem Ahmed
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access | Times Cited: 1
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102036-102036
Closed Access | Times Cited: 29
A lightweight deep convolutional neural network model for skin cancer image classification
Türker Tuncer, Prabal Datta Barua, Ilknur Tuncer, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111794-111794
Closed Access | Times Cited: 8
Melanoma Detection Using XGB Classifier Combined with Feature Extraction and K-Means SMOTE Techniques
Chih-Chi Chang, Yu-Zhen Li, Hui-Ching Wu, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1747-1747
Open Access | Times Cited: 28
Skin cancer classification using explainable artificial intelligence on pre-extracted image features
Tarek Khater, Sam Ansari, Soliman A. Mahmoud, et al.
Intelligent Systems with Applications (2023) Vol. 20, pp. 200275-200275
Open Access | Times Cited: 20
Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
Abdul Rauf Baig, Qaisar Abbas, Riyad Almakki, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 385-385
Open Access | Times Cited: 19
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
Ulyana A. Lyakhova, Pavel Lyakhov
Computers in Biology and Medicine (2024) Vol. 178, pp. 108742-108742
Closed Access | Times Cited: 6
Self-attention transformer unit-based deep learning framework for skin lesions classification in smart healthcare
Khosro Rezaee, Hossein Ghayoumi Zadeh
Deleted Journal (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Basic principles of artificial intelligence in dermatology explained using melanoma
Tim Hartmann, Johannes Passauer, Julien Hartmann, et al.
JDDG Journal der Deutschen Dermatologischen Gesellschaft (2024) Vol. 22, Iss. 3, pp. 339-347
Open Access | Times Cited: 5
Conv-SdMLPMixer: A hybrid medical image classification network based on multi-branch CNN and multi-scale multi-dimensional MLP
Zitong Ren, Shiwei Liu, Liejun Wang, et al.
Information Fusion (2025), pp. 102937-102937
Closed Access
Deep Multilevel Feature Fusion: An Xception-Based Framework Enhanced by Assorted Attention Mechanism for Improved Melanoma Diagnosis
Mahood J.K., M. Padmavathamma
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) Vol. 11, Iss. 1, pp. 3635-3644
Open Access
Machine Learning Based Skin Cancer Detection and Recognitions Techniques in IoT Environment
Arhath Kumar, Veera Talukdar, Suryansh Bhaskar Talukdar, et al.
Communications in computer and information science (2025), pp. 139-149
Closed Access
A weighted ensemble transfer learning approach for melanoma classification from skin lesion images
Himanshi Meswal, Deepika Kumar, Aryan Gupta, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33615-33637
Closed Access | Times Cited: 12
Registration based fully optimized melanoma detection using deep forest technique
Salman Ali Syed, S. Gowthami, M. Shanmukhi, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106116-106116
Closed Access | Times Cited: 4
Non-Invasive Biomarkers in the Era of Big Data and Machine Learning
Konstantinos Lazaros, Styliani Adam, Marios G. Krokidis, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1396-1396
Open Access
Discrete neighborhood difference pattern-based feature extraction and hybrid deep learning model for melanoma skin cancer detection
Ilavarasan Sargunan, Balajee Maram, C. Sakthi Gokul Rajan, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107812-107812
Closed Access
Improved Segmentation Model for Melanoma Lesion Detection Using Normalized Cross-Correlation-Based k-Means Clustering
Muhammad Imran Faizi, Syed Muhammad Adnan
IEEE Access (2024) Vol. 12, pp. 20753-20766
Open Access | Times Cited: 3
Performance and Accuracy Enhancement During Skin Disease Detection in Deep Learning
Parvinder Kaur
International Journal of experimental research and review (2023) Vol. 35, pp. 96-108
Open Access | Times Cited: 9
A deep learning based architecture for multi-class skin cancer classification
Snowber Mushtaq, Omkar Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 87105-87127
Closed Access | Times Cited: 3
Skin Cancer Detection Using Deep Learning Technique
Dilli Hemalatha, Kaile Nishi Latha, P. Latha
(2023), pp. 1-5
Closed Access | Times Cited: 8
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