OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Assist-Dermo: A Lightweight Separable Vision Transformer Model for Multiclass Skin Lesion Classification
Qaisar Abbas, Yassine Daadaa, Umer Rashid, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2531-2531
Open Access | Times Cited: 14

Showing 14 citing articles:

A comprehensive review of model compression techniques in machine learning
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 9

Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review
Pamela Hermosilla, Ricardo Soto, Emanuel Vega, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 454-454
Open Access | Times Cited: 7

Fusion of transformer attention and CNN features for skin cancer detection
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2024) Vol. 164, pp. 112013-112013
Closed Access | Times Cited: 4

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

A novel Skin lesion prediction and classification technique: ViT‐GradCAM
Muhammad Shafiq, Kapil Aggarwal, J. Jayachandran, et al.
Skin Research and Technology (2024) Vol. 30, Iss. 9
Open Access | Times Cited: 3

DEEPSCAN: Integrating Vision Transformers for Advanced Skin Lesion Diagnostics
A Jenefa, Edward Naveen, Vinayakumar Ravi, et al.
The Open Dermatology Journal (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2

Systematic Review of Deep Learning Techniques in Skin Cancer Detection
Carolina Magalhaes, Joaquim Mendes, Ricardo Vardasca
BioMedInformatics (2024) Vol. 4, Iss. 4, pp. 2251-2270
Open Access | Times Cited: 2

Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions
Sannia Arshad, Tehmina Amjad, Ayyaz Hussain, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2924-2924
Open Access | Times Cited: 6

An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma
Asghar Ali Shah, Ayesha Sher Ali Shaker, Sohail Jabbar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2

RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection
Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, et al.
Human-Centric Intelligent Systems (2024)
Open Access

AI in dermatology: a comprehensive review into skin cancer detection
Kavita Behara, Ernest Bhero, John T. Agee
PeerJ Computer Science (2024) Vol. 10, pp. e2530-e2530
Open Access

Custom CNN architectures for skin disease classification: binary and multi-class performance
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Multimedia Tools and Applications (2024)
Closed Access

Can Vision Transformers Be the Next State-of-the-Art Model for Oncology Medical Image Analysis?
S. Venugopal
AI in Precision Oncology (2024) Vol. 1, Iss. 6, pp. 286-305
Closed Access

Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning
Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, et al.
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 332-332
Open Access

Development of Convolutional Neural Network-Based AI-Dermatoscope for Non-Invasive Skin Assessments
Nipun Shantha Kahatapitiya, Akila Wijethunge, Sajith Edirisinghe, et al.
(2023), pp. 852-856
Closed Access

Page 1

Scroll to top