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:

Performance Analysis for COVID-19 Diagnosis Using Custom and State-of-the-Art Deep Learning Models
Ali Tariq Nagi, Mazhar Javed Awan, Mazin Abed Mohammed, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6364-6364
Open Access | Times Cited: 25

Showing 25 citing articles:

A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Shagun Sharma, Kalpna Guleria
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24101-24151
Closed Access | Times Cited: 59

SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Kiran Kumar Patro, Allam Jaya Prakash, Mohamed Hammad, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 352-368
Open Access | Times Cited: 26

COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
Muhab Hariri, Ercan Avşar
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 22

Combating the COVID-19 infodemic using Prompt-Based curriculum learning
Zifan Peng, Mingchen Li, Yue Wang, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120501-120501
Open Access | Times Cited: 13

Classification of spinal curvature types using radiography images: deep learning versus classical methods
Parisa Tavana, Mahdi Akraminia, Abbas Koochari, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13259-13291
Open Access | Times Cited: 11

Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19
Sundas Rukhsar, Mazhar Javed Awan, Usman Naseem, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 1, pp. 791-807
Open Access | Times Cited: 8

Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation
Shuhui Hao, Changcheng Huang, Ali Asghar Heidari, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24005-24044
Closed Access | Times Cited: 8

Validation of a Deep Learning Model for Detecting Chest Pathologies from Digital Chest Radiographs
Pranav Ajmera, Prashant Onkar, Soaham Desai, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 557-557
Open Access | Times Cited: 7

Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans
Yanan Wu, Qianqian Qi, Shouliang Qi, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106567-106567
Open Access | Times Cited: 6

COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold
Yunbo Rao, Qingsong Lv, Shaoning Zeng, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104486-104486
Open Access | Times Cited: 10

Enhancing deep learning techniques for the diagnosis of the novel coronavirus (COVID-19) using X-ray images
Maha Alghamdi, Mohamed Yehia Dahab, Naael Alazwary
Cogent Engineering (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 5

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106877-106877
Open Access | Times Cited: 5

Pneumonia screening on chest X-rays with optimized ensemble model
Sravani Nalluri, R. Sasikala
Expert Systems with Applications (2023) Vol. 242, pp. 122705-122705
Closed Access | Times Cited: 5

Deep Learning Convolutional Neural Network for SARS-CoV-2 Detection Using Chest X-Ray Images
Ali Mohammed Saleh Ahmed, Inteasar Yaseen Khudhair, Salam Abdulkhaleq Noaman
Acta Informatica Pragensia (2023) Vol. 12, Iss. 1, pp. 71-86
Open Access | Times Cited: 2

A novel framework based on deep learning for COVID-19 diagnosis from X-ray images
Seyyed-Mohammad Javadi-Moghaddam
PeerJ Computer Science (2023) Vol. 9, pp. e1375-e1375
Open Access | Times Cited: 2

Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis
Youness Chawki, Khalid Elasnaoui, Mohamed Ouhda
AIMS Electronics and Electrical Engineering (2024) Vol. 8, Iss. 1, pp. 71-103
Open Access

An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays
Hafsa Binte Kibria, Md. Ali Hossain, Shazia Rehman, et al.
Neural Computing and Applications (2024)
Closed Access

Hybrid deep neural network for automatic detection of COVID‐19 using chest x‐ray images
Upendra Kumar Acharya, Mohammad Ali, Mohd Kaif Ahmed, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1129-1143
Closed Access | Times Cited: 1

Utility of an Automated Artificial Intelligence Echocardiography Software in Risk Stratification of Hospitalized COVID-19 Patients
Tom Kai Ming Wang, Paul Cremer, Nicholas Chan, et al.
Life (2022) Vol. 12, Iss. 9, pp. 1413-1413
Open Access | Times Cited: 2

COVID-19 diagnosis prediction using classical-to-quantum ensemble model with transfer learning for CT scan images
Wenqian Li, Xing Deng, Haorong Zhao, et al.
The Imaging Science Journal (2021) Vol. 69, Iss. 5-8, pp. 319-333
Closed Access | Times Cited: 1

Automated X-ray Defect Inspection on Occluded BGA Balls Using Hybrid Algorithm
Ki-Yeol Eom, Byungseok Min
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 3, pp. 6337-6350
Open Access

Detecting COVID-19 in Inter-Patient Ultrasound Using EfficientNet
Amani Al Mutairi, Yakoub Bazi, Mohamad Mahmoud Al Rahhal
Algorithms for intelligent systems (2023), pp. 373-380
Closed Access

A Parallel Open-World Object Detection Framework with Uncertainty Mitigation for Campus Monitoring
Jian Dong, Zhange Zhang, Siqi He, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12806-12806
Open Access

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