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 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: 121

Showing 1-25 of 121 citing articles:

Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 101

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
Maryam Tahir, Ahmad Naeem, Hassaan Malik, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2179-2179
Open Access | Times Cited: 99

A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Vipin Venugopal, Navin Infant Raj, Malaya Kumar Nath, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100278-100278
Open Access | Times Cited: 46

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data
Anas Bilal, Xiaowen Liu, Muhammad Shafiq, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108099-108099
Closed Access | Times Cited: 38

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning
Omneya Attallah
Computers in Biology and Medicine (2024) Vol. 178, pp. 108798-108798
Closed Access | Times Cited: 17

Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection
Ranpreet Kaur, Hamid GholamHosseini, María Lindén
Sensors (2025) Vol. 25, Iss. 3, pp. 594-594
Open Access | Times Cited: 1

A novel hybrid Extreme Learning Machine and Teaching–Learning-Based​ Optimization algorithm for skin cancer detection
N. Priyadharshini, N. Selvanathan, B. Hemalatha, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100161-100161
Open Access | Times Cited: 37

EdgeSVDNet: 5G-Enabled Detection and Classification of Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images
Anas Bilal, Xiaowen Liu, Talha Imtiaz Baig, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4094-4094
Open Access | Times Cited: 34

SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions
Abid Mehmood, Yonis Gulzar, Qazi Mudassar Ilyas, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3604-3604
Open Access | Times Cited: 33

Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İni̇k
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 30

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 Novel Multi-Task Learning Network Based on Melanoma Segmentation and Classification with Skin Lesion Images
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Diagnostics (2023) Vol. 13, Iss. 2, pp. 262-262
Open Access | Times Cited: 25

Optimization Convolutional Neural Network for Automatic Skin Lesion Diagnosis Using a Genetic Algorithm
Omran Salih, Kevin J. Duffy
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3248-3248
Open Access | Times Cited: 25

Optimizing E-waste management: Deep learning classifiers for effective planning
S. Selvakanmani, P. Rajeswari, Brahmadesam Viswanathan Krishna, et al.
Journal of Cleaner Production (2024) Vol. 443, pp. 141021-141021
Closed Access | Times Cited: 9

Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5343-5419
Closed Access | Times Cited: 8

Comparative analysis of hyperspectral Image reconstruction using deep learning for agricultural and biological applications
Md. Toukir Ahmed, Arthur Villordon, Mohammed Kamruzzaman
Results in Engineering (2024) Vol. 23, pp. 102623-102623
Open Access | Times Cited: 8

Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
Liton Devnath, Suhuai Luo, Peter Summons, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 18, pp. 5342-5342
Open Access | Times Cited: 34

Tackling class imbalance in computer vision: a contemporary review
Manisha Saini, Seba Susan
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1279-1335
Closed Access | Times Cited: 20

Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches
Ramzi Guetari, H. Ayari, Houneida Sakly
Knowledge and Information Systems (2023) Vol. 65, Iss. 10, pp. 3881-3921
Open Access | Times Cited: 16

CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
Mominul Islam, Hasib Zunair, Nabeel Mohammed
Computers in Biology and Medicine (2024) Vol. 172, pp. 108317-108317
Open Access | Times Cited: 6

An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification
Soufiane Hamida, Driss Lamrani, Mohammed Amine Bouqentar, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 02, pp. 78-94
Open Access | Times Cited: 5

A novel deep learning framework based swin transformer for dermal cancer cell classification
K. Ramkumar, Elias Paulino Medeiros, Ani Dong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108097-108097
Closed Access | Times Cited: 5

An Improved Skin Lesion Classification Using a Hybrid Approach with Active Contour Snake Model and Lightweight Attention-Guided Capsule Networks
Kavita Behara, Ernest Bhero, John T. Agee
Diagnostics (2024) Vol. 14, Iss. 6, pp. 636-636
Open Access | Times Cited: 5

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