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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:

Developed Newton-Raphson based deep features selection framework for skin lesion recognition
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 293-303
Closed Access | Times Cited: 131

Showing 26-50 of 131 citing articles:

A hierarchical three-step superpixels and deep learning framework for skin lesion classification
Farhat Afza, Muhammad Sharif, Mamta Mittal, et al.
Methods (2021) Vol. 202, pp. 88-102
Closed Access | Times Cited: 81
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
Refined Residual Deep Convolutional Network for Skin Lesion Classification
Khalid M. Hosny, Mohamed A. Kassem
Journal of Digital Imaging (2022) Vol. 35, Iss. 2, pp. 258-280
Open Access | Times Cited: 60
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review
Anuja Bhargava, Atul Bansal
Multimedia Tools and Applications (2021) Vol. 80, Iss. 13, pp. 19931-19946
Open Access | Times Cited: 58
State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review
Harsh Bhatt, Vrunda Shah, Krish Shah, et al.
Intelligent Medicine (2022) Vol. 3, Iss. 3, pp. 180-190
Open Access | Times Cited: 57
Automated deep learning approach for classification of malignant melanoma and benign skin lesions
Wessam Salma, Ahmed S. Eltrass
Multimedia Tools and Applications (2022) Vol. 81, Iss. 22, pp. 32643-32660
Open Access | Times Cited: 40
A Novel Multi-Task Learning Network Based on Melanoma Segmentation and Classification with Skin Lesion Images
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Diagnostics (2023) Vol. 13, Iss. 2, pp. 262-262
Open Access | Times Cited: 25
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 23
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: 10
Multi-feature Fusion Deep Network for Skin Disease Diagnosis
Ajay Gairola, Vidit Kumar, Ashok Kumar Sahoo, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Deep learning for multi-grade brain tumor detection and classification: a prospective survey
K. Bhagyalaxmi, B. Dwarakanath, P. Vijaya Pal Reddy
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 65889-65911
Closed Access | Times Cited: 9
Importance of Features Selection, Attributes Selection, Challenges and Future Directions for Medical Imaging Data: A Review
Nazish Naheed, Muhammad Ashraf Shaheen, Sajid Ali Khan, et al.
Computer Modeling in Engineering & Sciences (2020) Vol. 125, Iss. 1, pp. 315-344
Open Access | Times Cited: 51
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images
Fayadh Alenezi, Ammar Armghan, Kemal Polat
Expert Systems with Applications (2022) Vol. 215, pp. 119352-119352
Closed Access | Times Cited: 31
A hybrid deep learning approach for skin cancer diagnosis using subband fusion of 3D wavelets
S. P. Maniraj, P. Sardar Maran
The Journal of Supercomputing (2022) Vol. 78, Iss. 10, pp. 12394-12409
Closed Access | Times Cited: 30
Metaheuristic algorithm based hyper-parameters optimization for skin lesion classification
Farzad Golnoori, Farsad Zamani Boroujeni, Amirhassan Monadjemi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 25677-25709
Closed Access | Times Cited: 19
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Shafia Riaz, Ahmad Naeem, Hassaan Malik, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8457-8457
Open Access | Times Cited: 16
A hybrid deep learning skin cancer prediction framework
Ebraheem Farea, Radhwan A. A. Saleh, Humam AbuAlkebash, et al.
Engineering Science and Technology an International Journal (2024) Vol. 57, pp. 101818-101818
Open Access | Times Cited: 6
A model for skin cancer using combination of ensemble learning and deep learning
Mehdi Hosseinzadeh, Dildar Hussain, Firas Muhammad Zeki Mahmood, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0301275-e0301275
Open Access | Times Cited: 5
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
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
Computer Decision Support System for Skin Cancer Localization and Classification
Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 1, pp. 1041-1064
Open Access | Times Cited: 36
Skin Lesion Classification Based on Surface Fractal Dimensions and Statistical Color Cluster Features Using an Ensemble of Machine Learning Techniques
Simona Moldovanu, Felicia Anisoara Damian Michis, Keka C. Biswas, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5256-5256
Open Access | Times Cited: 33
RETRACTED ARTICLE: Intrusion detection based on machine learning in the internet of things, attacks and counter measures
Eid Rehman, Muhammad Haseeb-ud-Din, Arif Jamal Malik, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 6, pp. 8890-8924
Closed Access | Times Cited: 25
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

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