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:

Lightweight Neural Network for COVID-19 Detection from Chest X-ray Images Implemented on an Embedded System
Theodora Sanida, Argyrios Sideris, Dimitris Tsiktsiris, et al.
Technologies (2022) Vol. 10, Iss. 2, pp. 37-37
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
Naeem Ullah, Javed Ali Khan, Shaker El–Sappagh, et al.
Diagnostics (2023) Vol. 13, Iss. 1, pp. 162-162
Open Access | Times Cited: 41
A novel lightweight deep learning model based on SqueezeNet architecture for viral lung disease classification in X-ray and CT images
Abhishek Agnihotri, Narendra Kohli
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 21
An Efficient Hybrid CNN Classification Model for Tomato Crop Disease
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, et al.
Technologies (2023) Vol. 11, Iss. 1, pp. 10-10
Open Access | Times Cited: 24
An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, et al.
J — Multidisciplinary Scientific Journal (2024) Vol. 7, Iss. 1, pp. 48-71
Open Access | Times Cited: 7
Employing Transfer Learning for Diagnosing COVID-19 Disease
Lafta Raheem Ali, Sabah Abdulazeez Jebur, Mothefer Majeed Jahefer, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 15, pp. 31-42
Open Access | Times Cited: 25
Challenges of deep learning methods for COVID-19 detection using public datasets
Md. Kamrul Hasan, Md. Ashraful Alam, Lavsen Dahal, et al.
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100945-100945
Open Access | Times Cited: 23
Multiclass deep learning model for predicting lung diseases based on honey badger algorithm
Heba Askr, Mirette Moawad, Ashraf Darwish, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 4
COVID-19 detection in lung CT slices using Brownian-butterfly-algorithm optimized lightweight deep features
V. Rajinikanth, Roshima Biju, Nitin Mittal, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e27509-e27509
Open Access | Times Cited: 3
An evaluation of lightweight deep learning techniques in medical imaging for high precision COVID-19 diagnostics
Ogechukwu Ukwandu, Hanan Hindy, Elochukwu Ukwandu
Healthcare Analytics (2022) Vol. 2, pp. 100096-100096
Open Access | Times Cited: 15
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
Anandbabu Gopatoti, P. Vijayalakshmi
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104857-104857
Open Access | Times Cited: 8
A Robust Hybrid Deep Convolutional Neural Network for COVID-19 Disease Identification from Chest X-ray Images
Theodora Sanida, Irene-Maria Tabakis, Maria Vasiliki Sanida, et al.
Information (2023) Vol. 14, Iss. 6, pp. 310-310
Open Access | Times Cited: 8
Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical images
Kenan Erdem, Mehmet Ali Kobat, Mehmet Nail Bilen, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1144-1159
Closed Access | Times Cited: 7
Optimizing Lung Condition Categorization through a Deep Learning Approach to Chest X-ray Image Analysis
Theodora Sanida, Maria Vasiliki Sanida, Argyrios Sideris, et al.
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 2002-2021
Open Access | Times Cited: 1
ColabNAS: Obtaining lightweight task-specific convolutional neural networks following Occam’s razor
Andrea Mattia Garavagno, Daniele Leonardis, Antonio Frisoli
Future Generation Computer Systems (2023) Vol. 152, pp. 152-159
Open Access | Times Cited: 4
Image Enhancement CNN Approach to COVID-19 Detection Using Chest X-ray Images
Chamoda Tharindu Kumara, Sandunika Charuni Pushpakumari, Ashmini Jeewa Udhyani, et al.
(2023), pp. 45-45
Open Access | Times Cited: 3
Analysis of Chest X-Ray Images for the Recognition of COVID-19 Symptoms Using CNN
Wesam Atef Hatamleh, Hussam Tarazi, Chatti Subbalakshmi, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 4
Medical Image Analysis using Improved SAM-Med2D: Segmentation and Classification Perspectives
Jiakang Sun, Ke Chen, Zhiyi He, et al.
Research Square (Research Square) (2024)
Open Access
A Siamese neural network-based diagnosis of COVID-19 using chest X-rays
Engin Taş, Ayca Hatice Atli
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 21163-21175
Closed Access
Medical image analysis using improved SAM-Med2D: segmentation and classification perspectives
Jiakang Sun, Ke Chen, Zhiyi He, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Edge Computing for AI-Based Brain MRI Applications: A Critical Evaluation of Real-Time Classification and Segmentation
Khuhed Memon, Norashikin Yahya, Mohd Zuki Yusoff, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 7091-7091
Open Access
A CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation Technique
Ujwala Pritam Kolte, Sachin Naik, Vidya Kumbhar
Journal of Computer Science (2024) Vol. 20, Iss. 7, pp. 783-792
Open Access
Enhancing Pulmonary Diagnosis in Chest X-rays through Generative AI Techniques
Theodora Sanida, Maria Vasiliki Sanida, Argyrios Sideris, et al.
J — Multidisciplinary Scientific Journal (2024) Vol. 7, Iss. 3, pp. 302-318
Open Access
Efficient Categorization of Pneumonia Diagnosis Using Low-Power Embedded Devices
Theodora Sanida, Maria Vasiliki Sanida, Argyrios Sideris, et al.
(2023)
Closed Access | Times Cited: 1
A Novel Transfer Learning Framework for Diagnosing Covid-19 from Chest X-Ray Images with Minimal Computational Resources
Ahmed Abdelwahed, Ahmed M. Helmi, Mohamed Issa
(2023)
Closed Access
Efficient Pneumonia Detection in Chest-Xray Images: Leveraging Lightweight Transfer Learning for Improved Accuracy and Practicality: Efficient Pneumonia Detection using Lightweight Transfer Learning
Bibi Qurat Ul Ain, Bingcai Chen
(2023), pp. 89-98
Closed Access
Page 1 - Next Page

Scroll to top