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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:

Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities
Ahmad Naeem, Muhammad Shoaib Farooq, Adel Khelifi, et al.
IEEE Access (2020) Vol. 8, pp. 110575-110597
Open Access | Times Cited: 145

Showing 1-25 of 145 citing articles:

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images
Adekanmi Adeyinka Adegun, Serestina Viriri
IEEE Access (2020) Vol. 8, pp. 150377-150396
Open Access | Times Cited: 143
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
Classification of skin cancer from dermoscopic images using deep neural network architectures
S. M. Jaisakthi, P Mirunalini, Chandrabose Aravindan, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 10, pp. 15763-15778
Open Access | Times Cited: 82
New Trends in Melanoma Detection Using Neural Networks: A Systematic Review
Dan Popescu, Mohamed El-Khatib, Hassan El-Khatib, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 496-496
Open Access | Times Cited: 74
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Makhmoor Fiza, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5652-5652
Open Access | Times Cited: 67
The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
Tehseen Mazhar, Inayatul Haq, Allah Ditta, et al.
Healthcare (2023) Vol. 11, Iss. 3, pp. 415-415
Open Access | Times Cited: 65
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 63
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 743-743
Open Access | Times Cited: 46
A review on brain tumor segmentation based on deep learning methods with federated learning techniques
Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102313-102313
Open Access | Times Cited: 42
SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Mudassir Khalil, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1030-1030
Open Access | Times Cited: 28
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Ahmad Naeem, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297667-e0297667
Open Access | Times Cited: 20
A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis
Ahmad Naeem, Tayyaba Anees, Rizwan Ali Naqvi, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 275-275
Open Access | Times Cited: 60
Detection of melanoma in dermoscopic images by integrating features extracted using handcrafted and deep learning models
Priti Bansal, Ritik Garg, Priyank Soni
Computers & Industrial Engineering (2022) Vol. 168, pp. 108060-108060
Closed Access | Times Cited: 50
SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm
Muneezah Hussain, Muhammad Attique Khan, Robertas Damaševičius, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2869-2869
Open Access | Times Cited: 34
A hybrid approach for melanoma classification using ensemble machine learning techniques with deep transfer learning
M. Roshni Thanka, E. Bijolin Edwin, V. Ebenezer, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 3, pp. 100103-100103
Open Access | Times Cited: 32
Skin Cancer Classification Framework Using Enhanced Super Resolution Generative Adversarial Network and Custom Convolutional Neural Network
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1210-1210
Open Access | Times Cited: 30
An Extensive Investigation into the Use of Machine Learning Tools and Deep Neural Networks for the Recognition of Skin Cancer: Challenges, Future Directions, and a Comprehensive Review
Syed Ibrar Hussain, Elena Toscano
Symmetry (2024) Vol. 16, Iss. 3, pp. 366-366
Open Access | Times Cited: 10
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
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs
Hassaan Malik, Tayyaba Anees, Mui-zzud-din
Multimedia Systems (2022) Vol. 28, Iss. 3, pp. 815-829
Open Access | Times Cited: 29
Detection and Classification of Melanoma Skin Cancer Using Image Processing Technique
C. Kaushik Viknesh, P. Nirmal Kumar, Ramasamy Seetharaman, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3313-3313
Open Access | Times Cited: 21
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
HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration
Cristian Camilo Pulgarín-Ospina, Rocío del Amor, Julio Silva-Rodríguez, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108577-108577
Open Access
A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
Arindam Halder, A Dalal, S. Gharami, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A comprehensive review on step-based skin cancer detection using machine learning and deep learning methods
Neetu Verma, Ranvijay Singh, Dharmendra Kumar Yadav
Archives of Computational Methods in Engineering (2025)
Closed Access
Multi-classification neural network model for detection of abnormal heartbeat audio signals
Hassaan Malik, Umair Bashir, Adnan Ahmad
Biomedical Engineering Advances (2022) Vol. 4, pp. 100048-100048
Open Access | Times Cited: 22
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