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:

COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
S. V. Kogilavani, Prabhu Jayagopal, R. Sandhiya, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 86
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 55
Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture
Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107789-107789
Open Access | Times Cited: 44
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 54
Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images
Malliga Subramanian, Sandeep Kumar Mathivanan, Sathishkumar Veerappampalayam Easwaramoorthy, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 52
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Mohit Agarwal, Sushant Agarwal, Luca Saba, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105571-105571
Open Access | Times Cited: 49
Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network
S. Saravanan, Vipin Kumar, S. Velliangiri, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 40
PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 24053-24076
Open Access | Times Cited: 40
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
Omneya Attallah
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 233, pp. 104750-104750
Open Access | Times Cited: 36
Potential diagnostic application of a novel deep learning- based approach for COVID-19
Alireza Sadeghi, Mahdieh Sadeghi, Ali Sharifpour, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Hassaan Malik, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296352-e0296352
Open Access | Times Cited: 10
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study
Laith Alzubaidi, Mohammed A. Fadhel, Freek Hollman, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 8
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 34
IoT-Based Intelligent System for Internal Crack Detection in Building Blocks
J. Chinna Babu, Sandeep Kumar Mathivanan, Prabhu Jayagopal, et al.
Journal of Nanomaterials (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 30
Prediction of the Age and Gender Based on Human Face Images Based on Deep Learning Algorithm
S. Haseena, S. Saroja, R. Madavan, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 28
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 24, pp. 17461-17483
Open Access | Times Cited: 22
Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
Muhammad Waqar Azeem, Shumaila Javaid, Ruhul Amin Khalil, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 850-850
Open Access | Times Cited: 20
A comparative study of federated learning methods for COVID-19 detection
Erfan Darzi, Nanna M. Sijtsema, Peter M. A. van Ooijen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Showmick Guha Paul, Arpa Saha, Al Amin Biswas, et al.
Array (2022) Vol. 17, pp. 100271-100271
Open Access | Times Cited: 27
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
Partho Ghose, Muhaddid Alavi, Mehnaz Tabassum, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 25
Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography images
Mughees Ahmad, Usama Ijaz Bajwa, Yasar Mehmood, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 13, pp. 9637-9655
Open Access | Times Cited: 13
Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants
Pensiri Akkajit, Arsanchai Sukkuea, Boonnisa Thongnonghin
Ecological Informatics (2023) Vol. 78, pp. 102328-102328
Closed Access | Times Cited: 13
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection
Kemal Akyol
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18277-18295
Open Access | Times Cited: 5
Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review
Irkham Irkham, Abdullahi Umar Ibrahim, Chidi Wilson Nwekwo, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 426-426
Open Access | Times Cited: 20
MediNet: transfer learning approach with MediNet medical visual database
Hatice Çatal Reis, Veysel Turk, Kourosh Khoshelham, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 39211-39254
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top