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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:

Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach
Julián D. Arias-Londoño, Jorge A. Gómez-García, Laureano Moro-Velázquez, et al.
IEEE Access (2020) Vol. 8, pp. 226811-226827
Open Access | Times Cited: 87

Showing 26-50 of 87 citing articles:

Current Diagnostic Techniques for Pneumonia: A Scoping Review
Kehkashan Kanwal, Muhammad Asif, Syed Ghufran Khalid, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4291-4291
Open Access | Times Cited: 2
Densely Connected Convolutional Networks (DenseNet) for Diagnosing Coronavirus Disease (COVID-19) from Chest X-ray Imaging
Hamed Tabrizchi, Amir Mosavi, Zoltán Vámossy, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2021), pp. 1-5
Closed Access | Times Cited: 16
Advancement of deep learning in pneumonia/Covid‐19 classification and localization: A systematic review with qualitative and quantitative analysis
Aakash Shah, Manan Shah
Chronic Diseases and Translational Medicine (2022) Vol. 8, Iss. 3, pp. 154-171
Open Access | Times Cited: 12
Diagnosis and detection of pneumonia using weak-label based on X-ray images: a multi-center study
Kairou Guo, Jiangbo Cheng, Kaiyuan Li, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Current limitations to identify covid-19 using artificial intelligence with chest x-ray imaging (part ii). The shortcut learning problem
José Daniel López-Cabrera, Rubén Orozco‐Morales, Jorge Armando Portal-Díaz, et al.
Health and Technology (2021) Vol. 11, Iss. 6, pp. 1331-1345
Open Access | Times Cited: 15
NSCGCN: A novel deep GCN model to diagnosis COVID-19
Chaosheng Tang, Chaochao Hu, Junding Sun, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106151-106151
Open Access | Times Cited: 10
Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network
Aviral Chharia, Rahul Upadhyay, Vinay Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 23167-23185
Open Access | Times Cited: 9
Automated and reliable detection of multi-diseases on chest X-ray images using optimized ensemble transfer learning
Kavitha Rani Balmuri, Srinivas Konda, Kishore Kumar M, et al.
Expert Systems with Applications (2023) Vol. 246, pp. 122810-122810
Closed Access | Times Cited: 5
Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
Prashant Gidde, Shyam Sunder Prasad, Ajay Pratap Singh, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 12
COVIDetection: deep convolutional neural networks-based automatic detection of COVID-19 with chest x-ray images
R. Geetha, M. Balasubramanian, K. Ramya Devi
Research on Biomedical Engineering (2022) Vol. 38, Iss. 3, pp. 955-964
Open Access | Times Cited: 8
COVID-ConvNet: A Convolutional Neural Network Classifier for Diagnosing COVID-19 Infection
Ibtihal Ahmed Alablani, Mohammed J. F. Alenazi
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1675-1675
Open Access | Times Cited: 4
An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis
Jinyeong Chae, Jihie Kim
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8671-8671
Open Access | Times Cited: 4
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning
Julián D. Arias-Londoño, Juan Ignacio Godino-Llorente
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105831-105831
Open Access | Times Cited: 4
Deep Learning-Based Renal Stone Detection: A Comprehensive Study and Performance Analysis
Priyadharsini Ravisankar, Varsha Balaji, Shahul Hameed T
Applied Computer Systems (2024) Vol. 29, Iss. 1, pp. 112-116
Open Access | Times Cited: 1
Extraction of significant features using GLDM for Covid-19 prediction
K. Sushmithawathi, P. Indra
Journal of Trends in Computer Science and Smart Technology (2022) Vol. 3, Iss. 4, pp. 287-293
Open Access | Times Cited: 7
Deep Learning Approaches for Automated Diagnosis of COVID-19 Using Imbalanced Training CXR Data
Ajay Sharma, Pramod Kumar Mishra
Communications in computer and information science (2022), pp. 453-472
Closed Access | Times Cited: 6
Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?
Lorena Álvarez‐Rodríguez, Joaquim de Moura, Jorge Novo, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Automatic Identification of Lung Opacities Due to COVID-19 from Chest X-ray Images—Focussing Attention on the Lungs
Julián D. Arias-Londoño, Álvaro Moure-Prado, Juan Ignacio Godino-Llorente
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1381-1381
Open Access | Times Cited: 3
Transfer learning with fine-tuned deep CNN model for COVID-19 diagnosis from chest X-ray images
Jaimin Patel, Mehul Shah
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 103
Open Access | Times Cited: 3
Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review
Ashley Gillman, Febrio Lunardo, Joseph Prinable, et al.
Physical and Engineering Sciences in Medicine (2021) Vol. 45, Iss. 1, pp. 13-29
Open Access | Times Cited: 7
Investigating the Performance of FixMatch for COVID-19 Detection in Chest X-rays
Ali Reza Sajun, Imran Zualkernan, Donthi Sankalpa
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4694-4694
Open Access | Times Cited: 5
Study on Public Chest X-ray Data sets for Lung Disease Classification
V G Sreena, D. Narain Ponraj, P. Deepa
(2021), pp. 54-58
Closed Access | Times Cited: 6
An Add-on CNN based Model for the Detection of Tuberculosis using Chest X-ray Images
N K Roopa, G S Mamatha
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 2
Predictive Analysis of COVID-19 Symptoms with CXR Imaging and Optimize the X-Ray Imaging Using Segmentation Thresholding Algorithm-An Evolutionary Approach for Bio-Medical Diagnosis
N. Prabhakara, Siddharthan PR, M. Kamali, et al.
International Journal of Pharmacology (2022) Vol. 18, Iss. 4, pp. 644-656
Closed Access | Times Cited: 4
D-Cov19Net: A DNN based COVID-19 detection system using lung sound
Sukanya Chatterjee, Jishnu Roychowdhury, Anilesh Dey
Journal of Computational Science (2022) Vol. 66, pp. 101926-101926
Open Access | Times Cited: 4

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