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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:

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Ghazal Bargshady, Xujuan Zhou, Prabal Datta Barua, et al.
Pattern Recognition Letters (2021) Vol. 153, pp. 67-74
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 309
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 83
RETRACTED ARTICLE: A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
Yasin Kaya, Ercan Gürsoy
Soft Computing (2023) Vol. 27, Iss. 9, pp. 5521-5535
Open Access | Times Cited: 70
Deep learning models-based CT-scan image classification for automated screening of COVID-19
Kapil Gupta, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104268-104268
Open Access | Times Cited: 69
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: 43
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110511-110511
Open Access | Times Cited: 42
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
Ahmad MohdAziz Hussein, Abdulrauf Garba Sharifai, Osama Moh’d Alia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals
Şengül Doğan, Mehmet Bayğın, Burak Taşçı, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 3, pp. 647-659
Closed Access | Times Cited: 56
Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
Ekram Chamseddine, Nesrine Mansouri, Makram Soui, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109588-109588
Open Access | Times Cited: 50
A survey on deep learning models for detection of COVID-19
Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16945-16973
Open Access | Times Cited: 23
Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
Law Kumar Singh, Munish Khanna, Himanshu Monga, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 761-824
Closed Access | Times Cited: 12
Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation
Subhajit Chatterjee, Debapriya Hazra, Yung-Cheol Byun, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1541-1541
Open Access | Times Cited: 31
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
El‐Sayed A. El‐Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117410-117410
Open Access | Times Cited: 30
Automated detection of COVID-19 and pneumonia diseases using data mining and transfer learning algorithms with focal loss from chest X-ray images
Rana Khattab, Islam R. Abdelmaksoud, Samir Abdelrazek
Applied Soft Computing (2024) Vol. 162, pp. 111806-111806
Closed Access | Times Cited: 6
Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets
Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 6
Enhancing Radiographic Diagnosis: CycleGAN-Based Methods for Reducing Cast Shadow Artifacts in Wrist Radiographs
Stanley A. Norris, Daniel Carrion, Michael Ditchfield, et al.
Deleted Journal (2025)
Open Access
Application of CycleGAN-based image style transfer algorithm in visual communication design
Ying Zhao
Journal of Computational Methods in Sciences and Engineering (2025)
Open Access
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109834-109834
Open Access
A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care
Ayan Chatterjee, Andreas Prinz, Michael A. Riegler, et al.
BMC Health Services Research (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12
Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis
Youssra El Idrissi El-Bouzaidi, Otman Abdoun
Scientific African (2023) Vol. 22, pp. e01961-e01961
Open Access | Times Cited: 12
A lung sound recognition model to diagnoses the respiratory diseases by using transfer learning
Nidhi Lal
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 36615-36631
Open Access | Times Cited: 10
AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images
Rajkumar Soundrapandiyan, Himanshu Naidu, Marimuthu Karuppiah, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108711-108711
Open Access | Times Cited: 10
Coevolutionary generative adversarial networks for medical image augumentation at scale
Diana Flores, Erik Hemberg, Jamal Toutouh, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022)
Open Access | Times Cited: 16
ShipGAN: Generative Adversarial Network based simulation-to-real image translation for ships
Yuxuan Dong, Peng Wu, Sen Wang, et al.
Applied Ocean Research (2023) Vol. 131, pp. 103456-103456
Open Access | Times Cited: 8
Ultrasound image super-resolution reconstruction based on semi-supervised CycleGAN
Fei Gao, Bing Li, Lei Chen, et al.
Ultrasonics (2023) Vol. 137, pp. 107177-107177
Closed Access | Times Cited: 7
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