Open Access Helper

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:

A Cloud Approach for Melanoma Detection Based on Deep Learning Networks
Luigi Di Biasi, Alessia Auriemma Citarella, Michele Risi, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 962-972
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
Sarina Aminizadeh, Arash Heidari, Mahshid Dehghan, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102779-102779
Closed Access | Times Cited: 53
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection
Mohamed Hammad, Paweł Pławiak, Mohammed ElAffendi, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7295-7295
Open Access | Times Cited: 21
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
AI augmented edge and fog computing for Internet of Health Things (IoHT)
D. Rajagopal, P. Subramanian
PeerJ Computer Science (2025) Vol. 11, pp. e2431-e2431
Open Access
MAFMv3: An automated Multi-Scale Attention-Based Feature Fusion MobileNetv3 for spine lesion classification
Aqsa Dastgir, Bin Wang, Muhammad Usman Saeed, et al.
Image and Vision Computing (2025), pp. 105440-105440
Closed Access
A Novel Cost-Utility Driven Melanoma Screening Paradigm: DD Screening Utilizing Digital Technologies
Gengwei Huo, Peng Chen
(2025)
Closed Access
KIEGLFN: A unified acne grading framework on face images
Lin Yi, Jingchi Jiang, Zhaoyang Ma, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106911-106911
Closed Access | Times Cited: 17
PMANet: Progressive multi-stage attention networks for skin disease classification
Guangzhe Zhao, Chen Zhang, Xueping Wang, et al.
Image and Vision Computing (2024) Vol. 149, pp. 105166-105166
Closed Access | Times Cited: 3
Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification
Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
Lecture notes in computer science (2023), pp. 514-528
Closed Access | Times Cited: 8
Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review
Sana Nazari, Rafael García
Life (2023) Vol. 13, Iss. 11, pp. 2123-2123
Open Access | Times Cited: 8
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier
Alessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 13
An enhanced skin lesion detection and classification model using hybrid convolution-based ensemble learning model
D. Nagadevi, Suman Kothakonda, P. Sampurna Lakshmi
Research on Biomedical Engineering (2024) Vol. 40, Iss. 2, pp. 347-372
Closed Access | Times Cited: 2
EPSViTs: A hybrid architecture for image classification based on parameter-shared multi-head self-attention
Huixian Liao, Xiaosen Li, Xiao Qin, et al.
Image and Vision Computing (2024) Vol. 149, pp. 105130-105130
Closed Access | Times Cited: 2
Comparative Analysis of Melanoma Classification Using Deep Learning Techniques on Dermoscopy Images
J. Jacinth Poornima, J. Anitha, Asha Gnana Priya Henry, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2918-2918
Open Access | Times Cited: 10
A Review of Computer Assistance in Dermatology
Shaik Reshma, S R Reeja
(2023)
Closed Access | Times Cited: 4
Skin Cancer Detection from Dermatoscopic Images Using Hybrid Fuzzy Ensemble Learning Model
Mihir Narayan Mohanty, Abhishek Das
International Journal of Fuzzy Systems (2023) Vol. 26, Iss. 1, pp. 260-273
Closed Access | Times Cited: 4
A three-tier BERT based transformer framework for detecting and classifying skin cancer with HSCGS algorithm
Joseph George, Anne Koteswara Rao
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 51441-51467
Closed Access | Times Cited: 4
A decision support system for acute lymphoblastic leukemia detection based on explainable artificial intelligence
Angelo Genovese, Vincenzo Piuri, Fabio Scotti
Image and Vision Computing (2024) Vol. 151, pp. 105298-105298
Open Access | Times Cited: 1
ENTAIL: Yet Another Amyloid Fibrils Classifier
Alessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 5
CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function
Rishi Agrawal, Neeraj Gupta, Anand Singh Jalal
Multimedia Tools and Applications (2024)
Closed Access
Analysis of 12-lead ECGs for SARS-CoV-2 detection using deep learning techniques
Alessia Auriemma Citarella, Fabiola De Marco, Luigi Di Biasi, et al.
Multimedia Tools and Applications (2024)
Open Access
Detection of Melanoma Based on Improved YOLOv8
Honghai Ji, Xuechen Zheng, Shuangshuang Xiong, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 1729-1733
Closed Access
Deep Learning Technique for Dermoscopy Image Processing Model for Early Melanoma Detection
Vellaturi Gopikrishna, K. Thinakaran
(2024), pp. 909-916
Closed Access
CNN-Based Skin Lesion Classification for Melanoma Detection
P. Havirbhavi, K. Ashwini
IFIP advances in information and communication technology (2024), pp. 315-333
Closed Access
Page 1 - Next Page

Scroll to top