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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:

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
Mohammed A. Al‐masni, Dong‐Hyun Kim, Tae‐Seong Kim
Computer Methods and Programs in Biomedicine (2020) Vol. 190, pp. 105351-105351
Closed Access | Times Cited: 292

Showing 1-25 of 292 citing articles:

AI for radiographic COVID-19 detection selects shortcuts over signal
Alex J. DeGrave, Joseph D. Janizek, Su‐In Lee
Nature Machine Intelligence (2021) Vol. 3, Iss. 7, pp. 610-619
Open Access | Times Cited: 340
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 811-811
Open Access | Times Cited: 211
A GAN-based image synthesis method for skin lesion classification
Zhiwei Qin, Zhao Liu, Ping Zhu, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105568-105568
Closed Access | Times Cited: 207
Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
Roxana Daneshjou, Mary P. Smith, Mary Sun, et al.
JAMA Dermatology (2021) Vol. 157, Iss. 11, pp. 1362-1362
Open Access | Times Cited: 197
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
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
Vatsala Anand, Sheifali Gupta, Deepika Koundal, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119230-119230
Closed Access | Times Cited: 168
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
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification
Muhammad Attique Khan, Yudong Zhang, Muhammad Sharif, et al.
Computers & Electrical Engineering (2021) Vol. 90, pp. 106956-106956
Closed Access | Times Cited: 133
Multi-Class Skin Lesion Detection and Classification via Teledermatology
Muhammad Attique Khan, Khan Muhammad, Muhammad Sharif, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 12, pp. 4267-4275
Closed Access | Times Cited: 127
Modified U-NET Architecture for Segmentation of Skin Lesion
Vatsala Anand, Sheifali Gupta, Deepika Koundal, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 867-867
Open Access | Times Cited: 118
Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images
Ranpreet Kaur, Hamid GholamHosseini, Roopak Sinha, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1134-1134
Open Access | Times Cited: 111
Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine
Farhat Afza, Muhammad Sharif, Muhammad Attique Khan, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 799-799
Open Access | Times Cited: 109
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
Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends
Zhouxiao Li, Konstantin Christoph Koban, Thilo L. Schenck, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 22, pp. 6826-6826
Open Access | Times Cited: 98
InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Hatice Çatal Reis, Veysel Turk, Kourosh Khoshelham, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 3, pp. 643-662
Closed Access | Times Cited: 87
Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application
Ioannis Kousis, Isidoros Perikos, Ioannis Hatzilygeroudis, et al.
Electronics (2022) Vol. 11, Iss. 9, pp. 1294-1294
Open Access | Times Cited: 82
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
Multiclass Skin Lesion Classification Using a Novel Lightweight Deep Learning Framework for Smart Healthcare
Long Hoang, Suk‐Hwan Lee, Eung-Joo Lee, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2677-2677
Open Access | Times Cited: 77
A survey on deep learning for skin lesion segmentation
Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102863-102863
Open Access | Times Cited: 76
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
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 review on the use of deep learning for medical images segmentation
Manar Aljabri, Manal Alghamdi
Neurocomputing (2022) Vol. 506, pp. 311-335
Closed Access | Times Cited: 67
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection
Sobia Bibi, Muhammad Attique Khan, Jamal Hussain Shah, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3063-3063
Open Access | Times Cited: 42
A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection
Rizwan Ali, A. Manikandan, Rui Lei, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 28
A GAN-Based Data Augmentation Method for Imbalanced Multi-Class Skin Lesion Classification
Qichen Su, Haza Nuzly Abdull Hamed, Mohd Adham Isa, et al.
IEEE Access (2024) Vol. 12, pp. 16498-16513
Open Access | Times Cited: 16
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