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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:

Extraction of Abnormal Skin Lesion from Dermoscopy Image using VGG-SegNet
Seifedine Kadry, David Taniar, Robertas Damaševičius, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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
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: 165
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: 99
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
CU-Net: A New Improved Multi-Input Color U-Net Model for Skin Lesion Semantic Segmentation
Rania Ramadan, Saleh Aly
IEEE Access (2022) Vol. 10, pp. 15539-15564
Open Access | Times Cited: 46
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
Optimal Skin Cancer Detection Model Using Transfer Learning and Dynamic-Opposite Hunger Games Search
Abdelghani Dahou, Ahmad O. Aseeri, Alhassan Mabrouk, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1579-1579
Open Access | Times Cited: 27
MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net
Tahir Hussain, Hayaru Shouno
IEEE Access (2024) Vol. 12, pp. 40290-40310
Open Access | Times Cited: 12
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions
Iqra Ahmad, Javeria Amin, M. Ikram Ullah Lali, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106084-106084
Closed Access | Times Cited: 8
A Bibliometric Review of Deep Learning Approaches in Skin Cancer Research
Catur Supriyanto, Abu Salam, Junta Zeniarja, et al.
Computation (2025) Vol. 13, Iss. 3, pp. 78-78
Open Access
A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation
Binsheng He, Lixia Wang, Wenjing Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability
Rajeev Kumar Singh, Rohan Gorantla, Sai Giridhar Allada, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276836-e0276836
Open Access | Times Cited: 24
Convolutional Neural Network-Based Skin Lesion Classification With Variable Nonlinear Activation Functions
M A Rasel, Unaizah Obaidellah, Sameem Abdul Kareem
IEEE Access (2022) Vol. 10, pp. 83398-83414
Open Access | Times Cited: 23
Skin Melanoma Segmentation using VGG-UNet with Adam/SGD Optimizer: A Study
V. Rajinikanth, Seifedine Kadry, Robertas Damaševičius, et al.
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (2022), pp. 982-986
Closed Access | Times Cited: 22
Multiscale Feature Fusion for Skin Lesion Classification
Gang Wang, Pu Yan, Qingwei Tang, et al.
BioMed Research International (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 14
Explainable Cubic Attention-Based Autoencoder for Skin Cancer Classification
Inzamam Mashood Nasir, Sara Tehsin, Robertas Damaševičius, et al.
Lecture notes in computer science (2025), pp. 124-134
Closed Access
Detection of Benign and Malignant Tumors in Skin Empowered with Transfer Learning
Taher M. Ghazal, Sajid Hussain, Muhammad Farhan Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 19
Skin Lesion Segmentation in Dermoscopic Images with Noisy Data
Norsang Lama, Jason Hagerty, Anand K. Nambisan, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1712-1722
Closed Access | Times Cited: 10
Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention
Việt Dũng Nguyễn, Ngoc Dung Bui, Hoang Khoi
Sensors (2022) Vol. 22, Iss. 19, pp. 7530-7530
Open Access | Times Cited: 18
CNN supported framework for automatic extraction and evaluation of dermoscopy images
Xiaochun Cheng, Seifedine Kadry, Maytham N. Meqdad, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 15, pp. 17114-17131
Closed Access | Times Cited: 16
TC-Net: Dual coding network of Transformer and CNN for skin lesion segmentation
Yuying Dong, Liejun Wang, Yongming Li
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277578-e0277578
Open Access | Times Cited: 14
2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma
Y Nancy Jane, S. K. Charanya, M Amsaprabhaa, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106333-106333
Closed Access | Times Cited: 13
Superpixel-Oriented Label Distribution Learning for Skin Lesion Segmentation
Qiaoer Zhou, Tingting He, Yuanwen Zou
Diagnostics (2022) Vol. 12, Iss. 4, pp. 938-938
Open Access | Times Cited: 8
Classification of skin disease using a novel hybrid flash butterfly optimization from dermoscopic images
A. M. Vidhyalakshmi, M. Kanchana
Neural Computing and Applications (2023) Vol. 36, Iss. 8, pp. 4311-4324
Closed Access | Times Cited: 4
CNN segmentation of skin melanoma in pre-processed dermoscopy images
Seifedine Kadry, Elena Verdú, Robertas Damaševičius, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2775-2782
Open Access | Times Cited: 1
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