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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:

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: 87

Showing 1-25 of 87 citing articles:

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Adekanmi Adeyinka Adegun, Serestina Viriri
Artificial Intelligence Review (2020) Vol. 54, Iss. 2, pp. 811-841
Closed Access | Times Cited: 237
Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering
Marriam Nawaz, Zahid Mehmood, Tahira Nazir, et al.
Microscopy Research and Technique (2021) Vol. 85, Iss. 1, pp. 339-351
Closed Access | Times Cited: 174
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
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm
Essam H. Houssein, Doaa A. Abdelkareem, Marwa M. Emam, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106075-106075
Closed Access | Times Cited: 114
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: 113
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
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: 85
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
Dermoscopy Image Classification Based on StyleGAN and DenseNet201
Chen Zhao, Renjun Shuai, Li Ma, et al.
IEEE Access (2021) Vol. 9, pp. 8659-8679
Open Access | Times Cited: 80
Melanoma Diagnosis Using Deep Learning and Fuzzy Logic
Shubhendu Banerjee, Sumit Kumar Singh, Avishek Chakraborty, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 577-577
Open Access | Times Cited: 78
W-net and inception residual network for skin lesion segmentation and classification
Khouloud Sahib, Ahlem Melouah, Fadel Touré, et al.
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 3976-3994
Closed Access | Times Cited: 70
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Expert Systems with Applications (2022) Vol. 213, pp. 119064-119064
Closed Access | Times Cited: 62
Skin Lesion Classification Based on Deep Convolutional Neural Networks Architectures
Jwan Najeeb Saeed, Subhi R. M. Zeebaree
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 41-51
Open Access | Times Cited: 61
Skin Lesion Classification Using Collective Intelligence of Multiple Neural Networks
Dan Popescu, Mohamed El-Khatib, Loretta Ichim
Sensors (2022) Vol. 22, Iss. 12, pp. 4399-4399
Open Access | Times Cited: 49
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
Şaban Öztürk, Tolga Çukur
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 9, pp. 4679-4690
Open Access | Times Cited: 44
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
A novel nonlinear automated multi-class skin lesion detection system using soft-attention based convolutional neural networks
Adi Alhudhaif, Bandar Almaslukh, Ahmad O. Aseeri, et al.
Chaos Solitons & Fractals (2023) Vol. 170, pp. 113409-113409
Closed Access | Times Cited: 31
A Computer‐Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification
Mehak Arshad, Muhammad Attique Khan, Usman Tariq, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 51
Deep learning enhances polarization speckle for in vivo skin cancer detection
Yuheng Wang, Daniel C. Louie, Jiayue Cai, et al.
Optics & Laser Technology (2021) Vol. 140, pp. 107006-107006
Closed Access | Times Cited: 46
An alternative approach to dimension reduction for pareto distributed data: a case study
Marco Roccetti, Giovanni Delnevo, Luca Casini, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 43
Skin lesion classification on dermatoscopic images using effective data augmentation and pre-trained deep learning approach
Ferhat Bozkurt
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 18985-19003
Closed Access | Times Cited: 35
An adaptive weight search method based on the Grey wolf optimizer algorithm for skin lesion ensemble classification
Luzhou Liu, Xiaoxia Zhang, Zhinan Xu
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 5
A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning
Puneet Thapar, Manik Rakhra, Mahmood Alsaadi, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100326-100326
Open Access | Times Cited: 5
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
Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection
Yuheng Wang, Jiayue Cai, Daniel C. Louie, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104812-104812
Closed Access | Times Cited: 37
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