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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:

An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer
Vatsala Anand, Sheifali Gupta, Ayman Altameem, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1628-1628
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
Vatsala Anand, Sheifali Gupta, Deepika Koundal, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119230-119230
Closed Access | Times Cited: 173
An Efficient VGG19 Framework for Malaria Detection in Blood Cell Images
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta
(2023)
Closed Access | Times Cited: 58
Smart Shoe Classification Using Artificial Intelligence on EfficientnetB3 Model
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
(2023), pp. 254-258
Closed Access | Times Cited: 56
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: 2
Brain Tumor Detection using VGG19 model on Adadelta and SGD Optimizer
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022)
Closed Access | Times Cited: 40
A lightweight deep convolutional neural network model for skin cancer image classification
Türker Tuncer, Prabal Datta Barua, Ilknur Tuncer, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111794-111794
Closed Access | Times Cited: 9
Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
Abdul Rauf Baig, Qaisar Abbas, Riyad Almakki, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 385-385
Open Access | Times Cited: 19
An improved hybrid solar cell defect detection approach using Generative Adversarial Networks and weighted classification
Mustafa Yusuf Demirci, Nurettin Beșlı, Abdülkadir Gümüşçü
Expert Systems with Applications (2024) Vol. 252, pp. 124230-124230
Closed Access | Times Cited: 7
Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning
Muhammad Mateen Yaqoob, Musleh Alsulami, Muhammad Amir Khan, et al.
Symmetry (2023) Vol. 15, Iss. 7, pp. 1369-1369
Open Access | Times Cited: 16
Insect Classification using Deep Convolutional Neural Networks and Transfer Learning On MobileNetV3 Model
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, et al.
(2023)
Closed Access | Times Cited: 14
Multi-scale feature fusion and class weight loss for skin lesion classification
Zhentao Hu, Weiqiang Mei, Hongyu Chen, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108594-108594
Closed Access | Times Cited: 5
Categorization of Butterflies using Convolutional Neural Network
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
(2023)
Closed Access | Times Cited: 13
An Intelligent System for Dysarthria Classification of Male and Female Processed Dataset using Sequential Model Parameters
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta
(2023), pp. 815-820
Closed Access | Times Cited: 12
An efficient multi-class classification of skin cancer using optimized vision transformer
R. P. Desale, Pravin Patil
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 3, pp. 773-789
Closed Access | Times Cited: 10
An Enhanced Approach Using AGS Network for Skin Cancer Classification
H K Lee, S. Cho, Jiyoon Song, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 394-394
Open Access
Temporal Integration of ResNet Features with LSTM for Enhanced Skin Lesion Classification
Sasmita Padhy, Sachikanta Dash, Naween Kumar, et al.
Results in Engineering (2025), pp. 104201-104201
Open Access
Transfer Learning for Cancer Diagnosis in Medical Images: A Compendious Study
Navreet Kaur, Rahul Hans
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Advanced deep learning and large language models: Comprehensive insights for cancer detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur, et al.
Image and Vision Computing (2025), pp. 105495-105495
Closed Access
An Automated Framework for the Segmentation of Skin Lesions Using Deep Learning
Anupam Garg, Amrita Kaur, Sunita, et al.
Lecture notes in networks and systems (2025), pp. 3-10
Closed Access
Skin disease detection using CNN compared with RNN for improved accuracy
Shaik Khaja Mohiddin Basha, Radhika Baskar
AIP conference proceedings (2025) Vol. 3270, pp. 020038-020038
Closed Access
Deep Learning for Early Skin Cancer Detection: Combining Segmentation, Augmentation, and Transfer Learning
Rajesh Karki, G. C. Shishant, Javad Rezazadeh, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 4, pp. 97-97
Open Access
SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2
Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, et al.
Deleted Journal (2025) Vol. 7, Iss. 5
Open Access
Skin Cancer Prediction using Deep Learning Techniques
Tayyab Irfan, Abid Rauf, M. Javed Iqbal
(2023), pp. 1-5
Closed Access | Times Cited: 9
Potato leaf disease prediction using RMSProp, Adam and SGD optimizers
Shikha Prasher, Leema Nelson, Mukta Jagdish
(2023)
Closed Access | Times Cited: 9
Cataract Detection using optimized VGG19 Model by Transfer Learning perspective and its Social Benefits
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta
(2023), pp. 593-596
Closed Access | Times Cited: 9
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