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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:

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: 30

Showing 1-25 of 30 citing articles:

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
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 63
Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey
Mehwish Zafar, Muhammad Imran Sharif, Muhammad Irfan Sharif, et al.
Life (2023) Vol. 13, Iss. 1, pp. 146-146
Open Access | Times Cited: 47
Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification
Irfan Ali Kandhro, Selvakumar Manickam, Kanwal Fatima, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31488-e31488
Open Access | Times Cited: 15
Multi-features extraction based on deep learning for skin lesion classification
Samia Benyahia, Boudjelal Meftah, Olivier Lézoray
Tissue and Cell (2021) Vol. 74, pp. 101701-101701
Open Access | Times Cited: 87
An Extensive Investigation into the Use of Machine Learning Tools and Deep Neural Networks for the Recognition of Skin Cancer: Challenges, Future Directions, and a Comprehensive Review
Syed Ibrar Hussain, Elena Toscano
Symmetry (2024) Vol. 16, Iss. 3, pp. 366-366
Open Access | Times Cited: 9
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: 50
Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine learning framework
R. Sonia, Jesla Joseph, D. Kalaiyarasi, et al.
Automatika (2023) Vol. 65, Iss. 1, pp. 217-231
Open Access | Times Cited: 18
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
Ulyana A. Lyakhova, Pavel Lyakhov
Computers in Biology and Medicine (2024) Vol. 178, pp. 108742-108742
Closed Access | Times Cited: 6
Recent innovations in machine learning for skin cancer lesion analysis and classification: A comprehensive analysis of computer‐aided diagnosis
Syeda Shamaila Zareen, Md Shamim Hossain, Junsong Wang, et al.
Precision Medical Sciences (2025)
Open Access
Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory
Mohamed A. Elashiri, Rajesh Arunachalam, Surya Nath Pandey, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103729-103729
Closed Access | Times Cited: 21
Multi-class skin lesion classification using prism- and segmentation-based fractal signatures
José Ariel Camacho-Gutíerrez, Selene Solorza-Calderón, Josué Álvarez-Borrego
Expert Systems with Applications (2022) Vol. 197, pp. 116671-116671
Closed Access | Times Cited: 19
HEXA-GAN: Skin lesion image inpainting via hexagonal sampling based generative adversarial network
Nidhi Bansal, S. Sridhar
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105603-105603
Closed Access | Times Cited: 6
Skin lesion image classification method based on extension theory and deep learning
Xiaofei Bian, Haiwei Pan, Kejia Zhang, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 12, pp. 16389-16409
Closed Access | Times Cited: 9
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
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: 1
Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm
Taofik Ahmed Suleiman, Daniel Tweneboah Anyimadu, Andrew Dwi Permana, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Skin Diseases Detection with Transfer Learning
Vo Van-Quoc, Nguyen Thai-Nghe
Lecture notes in networks and systems (2023), pp. 139-150
Closed Access | Times Cited: 3
Improved Fuzzy Based Segmentation with Hybrid Classification for Skin Disease Detection
Dasari Anantha Reddy, Swarup Roy, Sanjay Kumar, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2237-2250
Open Access
Pigmented skin disease classification via deep learning with an attention mechanism
Jinbo Chen, Qian Jiang, Zhuang Ai, et al.
Applied Soft Computing (2024), pp. 112571-112571
Closed Access
Automated detection and classification of skin diseases using diverse features and improved gray wolf‐based multiple‐layer perceptron neural network
K. Melbin, Y. Jacob Vetha Raj
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 3, pp. 1317-1333
Closed Access | Times Cited: 4
A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Skin Cancer Detection and Classification: Exploring Performance Across Multiple Parameters
Summi Goindi, Khushal Thakur, Divneet Singh Kapoor
(2024), pp. 76-82
Closed Access
A Review on Utilizing Machine Learning Classification Algorithms for Skin Cancer
Arshad Abobakir, Adnan Abdulazeez
Journal of Applied Science and Technology Trends (2024) Vol. 5, Iss. 2, pp. 60-71
Open Access
Deep Learning-Driven Skin Cancer Classification via CNN Features and Random Forest Classifier
El Ouanas Belabbaci, Berkani Mohamed Rafik Aymene, Gharbi Akram Abderraouf, et al.
(2024)
Open Access
Internal corrosion cracks evolution in reinforced magnesium oxychloride cement concrete
Penghui Wang, Hongxia Qiao, Qiong Feng, et al.
Advances in Cement Research (2023) Vol. 36, Iss. 1, pp. 15-30
Closed Access | Times Cited: 1
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