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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:

Skin cancer diagnosis based on optimized convolutional neural network
Ni Zhang, Yixin Cai, Yong-Yong Wang, et al.
Artificial Intelligence in Medicine (2019) Vol. 102, pp. 101756-101756
Closed Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 4693
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
Muhammad Attique Khan, Tallha Akram, Yudong Zhang, et al.
Pattern Recognition Letters (2021) Vol. 143, pp. 58-66
Closed Access | Times Cited: 205
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
Mohamed A. Kassem, Khalid M. Hosny, Robertas Damaševičius, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1390-1390
Open Access | Times Cited: 186
Multi-Disease Prediction Based on Deep Learning: A Survey
Shuxuan Xie, Zengchen Yu, Zhihan Lv
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 2, pp. 489-522
Open Access | Times Cited: 184
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
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends
Imran Qureshi, Junhua Yan, Qaisar Abbas, et al.
Information Fusion (2022) Vol. 90, pp. 316-352
Closed Access | Times Cited: 137
Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
Bhuvaneshwari Shetty, Roshan Fernandes, Anisha P Rodrigues, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 109
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Deepak Painuli, Suyash Bhardwaj, Utku Köse
Computers in Biology and Medicine (2022) Vol. 146, pp. 105580-105580
Closed Access | Times Cited: 99
DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Md. Kamrul Hasan, Md. Toufick E Elahi, Md. Ashraful Alam, et al.
Informatics in Medicine Unlocked (2022) Vol. 28, pp. 100819-100819
Open Access | Times Cited: 98
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
A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
Aarushi Shah, Manan Shah, A.S. Pandya, et al.
Clinical eHealth (2023) Vol. 6, pp. 76-84
Open Access | Times Cited: 74
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
Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey
Mehwish Zafar, Muhammad Imran Sharif, Muhammad Irfan Sharif, et al.
Life (2023) Vol. 13, Iss. 1, pp. 146-146
Open Access | Times Cited: 47
LBO-MPAM: Ladybug Beetle Optimization-based multilayer perceptron attention module for segmenting the skin lesion and automatic localization
V. Sellam, Kannan Natrajan, Senthil Pandi S, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2024), pp. 1-26
Closed Access | Times Cited: 25
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
Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention mechanism
Abdulrahman Alqarafi, Arfat Ahmad Khan, Rakesh Kumar Mahendran, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106313-106313
Open Access | Times Cited: 16
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
Maksuda Akter, Rabea Khatun, Md. Alamin Talukder, et al.
Deleted Journal (2025)
Open Access | Times Cited: 2
Dung Beetle Optimization Algorithm Based on Improved Multi-Strategy Fusion
Rencheng Fang, Tao Zhou, Baohua Yu, et al.
Electronics (2025) Vol. 14, Iss. 1, pp. 197-197
Open Access | Times Cited: 1
Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images
Gang Yu, Kai Sun, Chao Xu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 97
An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection
Mohammad Shorfuzzaman
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1309-1323
Closed Access | Times Cited: 96
Deep Learning-Based Image Processing for Cotton Leaf Disease and Pest Diagnosis
M Azath, Melese Zekiwos, Abey Bruck
Journal of Electrical and Computer Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 89
State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review
Harsh Bhatt, Vrunda Shah, Krish Shah, et al.
Intelligent Medicine (2022) Vol. 3, Iss. 3, pp. 180-190
Open Access | Times Cited: 57
Classification of skin cancer using convolutional neural networks analysis of Raman spectra
Ivan А. Bratchenko, Lyudmila A. Bratchenko, Yulia А. Khristoforova, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 219, pp. 106755-106755
Closed Access | Times Cited: 55
An Improved VGG Model for Skin Cancer Detection
Hamed Tabrizchi, Sepideh Parvizpour, Jafar Razmara
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 3715-3732
Closed Access | Times Cited: 54
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