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:

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

Showing 1-25 of 174 citing articles:

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

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
Talha Mahboob Alam, Kamran Shaukat, Wasim Ahmad Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2115-2115
Open Access | Times Cited: 122

An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization
Marriam Nawaz, Tahira Nazir, Ali Javed, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 434-434
Open Access | Times Cited: 99

Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Sarmad Maqsood, Robertas Damaševičius
Neural Networks (2023) Vol. 160, pp. 238-258
Closed Access | Times Cited: 78

A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
Aarushi Shah, Manan Shah, A.S. Pandya, et al.
Clinical eHealth (2023) Vol. 6, pp. 76-84
Open Access | Times Cited: 74

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Makhmoor Fiza, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5652-5652
Open Access | Times Cited: 68

A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
Zhang Li, Jian Yong Zhang, Gao Wen-lian, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105858-105858
Closed Access | Times Cited: 68

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

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

SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
Ahmad Naeem, Tayyaba Anees, Mudassir Khalil, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1030-1030
Open Access | Times Cited: 28

A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 23

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning
Omneya Attallah
Computers in Biology and Medicine (2024) Vol. 178, pp. 108798-108798
Closed Access | Times Cited: 17

Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms
Areej Alotaibi, Duaa AlSaeed
Diagnostics (2025) Vol. 15, Iss. 1, pp. 99-99
Open Access | Times Cited: 1

An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer
Suliman Aladhadh, Majed Alsanea, Mohammed Aloraini, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4008-4008
Open Access | Times Cited: 62

Skin Cancer Detection Using Combined Decision of Deep Learners
Azhar Imran, Arslan Nasir, Muhammad Bilal, et al.
IEEE Access (2022) Vol. 10, pp. 118198-118212
Open Access | Times Cited: 57

Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Marriam Nawaz, Tahira Nazir, Momina Masood, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 2137-2153
Closed Access | Times Cited: 54

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Aqsa Saeed Qureshi, Teemu Roos
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4461-4479
Open Access | Times Cited: 52

CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model
Marriam Nawaz, Tahira Nazir, Jamel Baili, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 248-248
Open Access | Times Cited: 33

Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review
Khalid M. Hosny, Doaa Elshoura, Ehab R. Mohamed, et al.
IEEE Access (2023) Vol. 11, pp. 85467-85488
Open Access | Times Cited: 26

Benign and Malignant Skin Lesion Detection from Melanoma Skin Cancer Images
Shagun Sharma, Kalpna Guleria, Sushil Kumar, et al.
2022 International Conference for Advancement in Technology (ICONAT) (2023), pp. 1-6
Closed Access | Times Cited: 24

Analysis of Artificial Intelligence-Based Approaches Applied to Non-Invasive Imaging for Early Detection of Melanoma: A Systematic Review
Raj H. Patel, Emilie A. Foltz, Alexander Witkowski, et al.
Cancers (2023) Vol. 15, Iss. 19, pp. 4694-4694
Open Access | Times Cited: 22

Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO)
Wanqi Lai, Meixia Kuang, Xiaorou Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21

Automated Skin Cancer Detection and Classification using Cat Swarm Optimization with a Deep Learning Model
Vijay Arumugam Rajendran, S. Saravanan
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12734-12739
Open Access | Times Cited: 13

Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 12

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