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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:

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: 185

Showing 1-25 of 185 citing articles:

Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learning
Walaa Gouda, Najm Us Sama, Ghada Al-Waakid, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1183-1183
Open Access | Times Cited: 163
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106726-106726
Closed Access | Times Cited: 111
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
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network
Akhilesh Sharma, Shamik Tiwari, Gaurav Aggarwal, et al.
IEEE Access (2022) Vol. 10, pp. 17920-17932
Open Access | Times Cited: 97
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106624-106624
Open Access | Times Cited: 83
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Sarmad Maqsood, Robertas Damaševičius
Neural Networks (2023) Vol. 160, pp. 238-258
Closed Access | Times Cited: 78
Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Yousef S. Alsahafi, Mohamed A. Kassem, Khalid M. Hosny
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 69
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
Explainable Transfer Learning-Based Deep Learning Model for Pelvis Fracture Detection
Mohamed A. Kassem, Soaad M. Naguib, Hanaa M. Hamza, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 43
Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map
Soaad M. Naguib, Hanaa M. Hamza, Khalid M. Hosny, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1273-1273
Open Access | Times Cited: 41
Explainable deep inherent learning for multi-classes skin lesion classification
Khalid M. Hosny, Wael Said, Mahmoud Elmezain, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111624-111624
Closed Access | Times Cited: 31
Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network
Soaad M. Naguib, Mohamed A. Kassem, Hanaa M. Hamza, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31017-e31017
Open Access | Times Cited: 18
Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review
Hoda Naseri, Ali Asghar Safaei
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Optimizing Skin Cancer Diagnosis: A Modified Ensemble Convolutional Neural Network for Classification
A. Vidhyalakshmi, M. Kanchana
Microscopy Research and Technique (2025)
Closed Access | Times Cited: 1
A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
Puneet Thapar, Manik Rakhra, Gerardo Cazzato, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 63
Classification of Skin Cancer empowered with convolutional neural network
Ayesha Atta, Muhammad Adnan Khan, Muhammad Asif, et al.
2022 International Conference on Cyber Resilience (ICCR) (2022), pp. 01-06
Closed Access | Times Cited: 50
Deep Learning Application for Effective Classification of Different Types of Psoriasis
Syeda Fatima Aijaz, Saad Jawaid Khan, Fahad Azim, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 43
FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer
Zhangli Lan, Songbai Cai, Xu He, et al.
IEEE Access (2022) Vol. 10, pp. 76261-76267
Open Access | Times Cited: 43
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: 32
Voice disorder classification using convolutional neural network based on deep transfer learning
Xiangyu Peng, Huoyao Xu, Jie Liu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 29
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Arslan Akram, Javed Rashid, M. Arfan Jaffar, et al.
Skin Research and Technology (2023) Vol. 29, Iss. 11
Open Access | Times Cited: 26
Analysis of Artificial Intelligence-Based Approaches Applied to Non-Invasive Imaging for Early Detection of Melanoma: A Systematic Review
Raj H. Patel, Emilie A. Foltz, Alexander Witkowski, et al.
Cancers (2023) Vol. 15, Iss. 19, pp. 4694-4694
Open Access | Times Cited: 22
Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review
Pamela Hermosilla, Ricardo Soto, Emanuel Vega, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 454-454
Open Access | Times Cited: 7
Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN)
Bilal Ahmad, Sun Jun, Vasile Palade, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2147-2147
Open Access | Times Cited: 52
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