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:

Extraction of features from cross correlation in space and frequency domains for classification of skin lesions
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi, et al.
Biomedical Signal Processing and Control (2019) Vol. 53, pp. 101581-101581
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2852-2852
Open Access | Times Cited: 561

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: 192

Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
Solene Bechelli, Jérôme Delhommelle
Bioengineering (2022) Vol. 9, Iss. 3, pp. 97-97
Open Access | Times Cited: 92

On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning
Mohammad Fraiwan, Esraa Faouri
Sensors (2022) Vol. 22, Iss. 13, pp. 4963-4963
Open Access | Times Cited: 88

A multilevel features selection framework for skin lesion classification
Tallha Akram, Hafiz Muhammad Junaid Lodhi, Syed Rameez Naqvi, et al.
Human-centric Computing and Information Sciences (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 90

An Al-Biruni Earth Radius Optimization-Based Deep Convolutional Neural Network for Classifying Monkeypox Disease
Doaa Sami Khafaga, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, El-Sayed M. El-kenawy, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2892-2892
Open Access | Times Cited: 44

A novel end-to-end deep convolutional neural network based skin lesion classification framework
A. Razia Sulthana, Vinay Chamola, Zain Hussain, et al.
Expert Systems with Applications (2023) Vol. 246, pp. 123056-123056
Open Access | Times Cited: 23

DermCDSM: Clinical Decision Support Model for Dermatosis Using Systematic Approaches of Machine Learning and Deep Learning
Ruchi Mittal, Fathe Jeribi, John Martin, et al.
IEEE Access (2024) Vol. 12, pp. 47319-47337
Open Access | Times Cited: 10

Skin Cancer Classification Using Fine-Tuned Transfer Learning of DENSENET-121
Abayomi Bello, Sin-Chun Ng, Man-Fai Leung
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7707-7707
Open Access | Times Cited: 7

Skin Disease Classification from Image - A Survey
Tanvi Goswami, Vipul K. Dabhi, Harshadkumar B. Prajapati
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2020), pp. 599-605
Closed Access | Times Cited: 45

Deep attention branch networks for skin lesion classification
Saisai Ding, Zhongyi Wu, Yanyan Zheng, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 212, pp. 106447-106447
Closed Access | Times Cited: 39

Integration of Localized, Contextual, and Hierarchical Features in Deep Learning for Improved Skin Lesion Classification
R. Karthik, Illakiya Thayumanaswamy, Menaka Radhakrishnan, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1338-1338
Open Access | Times Cited: 5

SLDCNet: Skin lesion detection and classification using full resolution convolutional network‐based deep learning CNN with transfer learning
P. Bharat Siva Varma, Siddartha Paturu, Suman Mishra, et al.
Expert Systems (2022) Vol. 39, Iss. 9
Closed Access | Times Cited: 21

Integration of modified ABCD features and support vector machine for skin lesion types classification
K. Melbin, Y. Jacob Vetha Raj
Multimedia Tools and Applications (2020) Vol. 80, Iss. 6, pp. 8909-8929
Closed Access | Times Cited: 31

Dermatological expert system implementing the ABCD rule of dermoscopy for skin disease identification
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114204-114204
Closed Access | Times Cited: 29

Deep Learning-Based Web Application for Automated Skin Lesion Classification and Analysis
Serra Aksoy, Pınar Demircioğlu, İsmail Böğrekçi
Dermato (2025) Vol. 5, Iss. 2, pp. 7-7
Open Access

Fuzzy segmentation and black widow–based optimal SVM for skin disease classification
D. Raju, Shanmugasundaram Hariharan, R. Sasikumar
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 10, pp. 2019-2035
Closed Access | Times Cited: 22

A novel minimum generalized cross entropy-based multilevel segmentation technique for the brain MRI/dermoscopic images
Bibekananda Jena, Manoj Kumar Naik, Rutuparna Panda, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106214-106214
Closed Access | Times Cited: 16

Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine
Prabira Kumar Sethy, Santi Kumari Behera, Nithiyanathan Kannan
Journal of Digital Imaging (2022) Vol. 35, Iss. 5, pp. 1207-1216
Open Access | Times Cited: 13

Deep and handcrafted features from clinical images combined with patient information for skin cancer diagnosis
Carlos Frederico S. da F. Mendes, Renato A. Krohling
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112445-112445
Closed Access | Times Cited: 13

Optimal Detection and Classification of Skin Lesion based on Texture Features
Punam R. Patil, Bhushan V. Patil
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2

Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification
Erwin Setyo Nugroho, Igi Ardiyanto, Hanung Adi Nugroho
Skin Research and Technology (2023) Vol. 29, Iss. 11
Open Access | Times Cited: 6

Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey
Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González-Hidalgo
Computer Methods and Programs in Biomedicine (2019) Vol. 182, pp. 105049-105049
Closed Access | Times Cited: 16

Depthwise Separable Convolutional Neural Network for Skin Lesion Classification
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 15

Image Visibility Filter-Based Interpretable Deep Learning Framework for Skin Lesion Diagnosis
Biswarup Ganguly, Debangshu Dey, Sugata Munshi
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5138-5147
Closed Access | Times Cited: 11

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