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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:

COVID-19 detection using chest X-ray images based on a developed deep neural network
Zohreh Mousavi, Nahal Shahini, Sobhan Sheykhivand, et al.
SLAS TECHNOLOGY (2022) Vol. 27, Iss. 1, pp. 63-75
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

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
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer
Tianmu Wang, Zhenguo Nie, Ruijing Wang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1395-1408
Open Access | Times Cited: 38
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: 28
Medical images classification using deep learning: a survey
Rakesh Kumar, Pooja Kumbharkar, Sandeep Vanam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19683-19728
Closed Access | Times Cited: 27
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 34
Using MHD free convection to receive the generated heat by an elliptical porous media
Gongxing Yan, Ali Shawabkeh, Rishabh Chaturvedi, et al.
Case Studies in Thermal Engineering (2022) Vol. 36, pp. 102153-102153
Open Access | Times Cited: 29
ELCT-YOLO: An Efficient One-Stage Model for Automatic Lung Tumor Detection Based on CT Images
Zhanlin Ji, Jianyong Zhao, Jinyun Liu, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2344-2344
Open Access | Times Cited: 22
Detection of post-COVID-19-related pulmonary diseases in X-ray images using Vision Transformer-based neural network
Anzhelika Mezina, Radim Bürget
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105380-105380
Closed Access | Times Cited: 18
A digital twin-based framework for damage detection of a floating wind turbine structure under various loading conditions based on deep learning approach
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Ocean Engineering (2023) Vol. 292, pp. 116563-116563
Closed Access | Times Cited: 18
Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey
Raheel Siddiqi, Sameena Javaid
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 176-176
Open Access | Times Cited: 8
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
Dictionary learning-based damage detection under varying environmental conditions using only vibration responses of numerical model and real intact State: Verification on an experimental offshore jacket model
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109567-109567
Open Access | Times Cited: 25
Receiving heat from a PCM tank by using natural convection of water and NEPCM: A simulation for LHTES application
Yan Cao, Hamdi Ayed, A.M. Algelany, et al.
Case Studies in Thermal Engineering (2022) Vol. 35, pp. 102123-102123
Open Access | Times Cited: 24
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
Pulkit Sharma, Rhythm Arya, Richa Verma, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 28521-28545
Open Access | Times Cited: 16
Deep Convolutional Neural Network Architecture to Detect COVID-19 from Chest X-Ray Images
Maad M. Mijwil
Iraqi Journal of Science (2023), pp. 2561-2574
Open Access | Times Cited: 16
Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification
Rawan Ghnemat, Sawsan Alodibat, Qasem Abu Al‐Haija
Journal of Imaging (2023) Vol. 9, Iss. 9, pp. 177-177
Open Access | Times Cited: 16
DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning networks based on handwriting data
Jing Yang, Mohammad Shokouhifar, Lip Yee Por, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122704-122704
Closed Access | Times Cited: 14
DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Visualization Utilizing Chest X-ray Images
Md. Khabir Uddin Ahamed, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 551-551
Open Access | Times Cited: 13
Designing a system for battery thermal management: Cooling LIBs by nano-encapsulated phase change material
Yan Cao, Ibrahim B. Mansir, Abir Mouldi, et al.
Case Studies in Thermal Engineering (2022) Vol. 33, pp. 101943-101943
Open Access | Times Cited: 22
Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests
Zohreh Mousavi, Meysam Bayat, Jun Yang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 183, pp. 108805-108805
Closed Access | Times Cited: 4
An effective COVID-19 classification in X-ray images using a new deep learning framework
P. Thilagavathi, R. Geetha, S. Jothi Shri, et al.
Journal of X-Ray Science and Technology (2025)
Open Access
A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection
Muhammad Abdullah Shah Bukhari, Faisal Bukhari, Muhammad Asif, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2686-e2686
Open Access
Analyzing Infant Cry to Detect Birth Asphyxia Using a Hybrid CNN and Feature Extraction Approach
Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, et al.
Neuroscience Informatics (2025), pp. 100193-100193
Open Access
COVID-19 Detection Using Convolutional Neural Networks and Ensemble Approaches – A Review
L. Agilandeeswari, Abhimanyu Singh
Lecture notes in networks and systems (2025), pp. 164-180
Closed Access
ADConv-Net: Advanced Deep Convolution Neural Network for COVID-19 Diagnostics Using Chest X-Ray and CT Images
Sunil Kumar, Biswajit Bhowmik
SN Computer Science (2025) Vol. 6, Iss. 5
Closed Access
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