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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:

Deep learning approaches for COVID-19 detection based on chest X-ray images
Aras Masood Ismael, Abdulkadir Şengür
Expert Systems with Applications (2020) Vol. 164, pp. 114054-114054
Open Access | Times Cited: 666

Showing 1-25 of 666 citing articles:

Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 228
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation
Ailiang Qi, Dong Zhao, Fanhua Yu, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105810-105810
Open Access | Times Cited: 172
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 163
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 139
Detection and analysis of COVID-19 in medical images using deep learning techniques
Dandi Yang, Cristhian Martinez, Lara Visuña, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 129
COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images
Shamima Akter, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, et al.
Biology (2021) Vol. 10, Iss. 11, pp. 1174-1174
Open Access | Times Cited: 129
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
Cosimo Ieracitano, Nadia Mammone, Mario Versaci, et al.
Neurocomputing (2022) Vol. 481, pp. 202-215
Open Access | Times Cited: 120
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105350-105350
Open Access | Times Cited: 113
Comparing two SVM models through different metrics based on the confusion matrix
Daniel Valero-Carreras, Javier Alcaraz, Mercedes Landete
Computers & Operations Research (2022) Vol. 152, pp. 106131-106131
Open Access | Times Cited: 112
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images
Fatih Demir
Applied Soft Computing (2021) Vol. 103, pp. 107160-107160
Open Access | Times Cited: 111
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization
Muhammet Fatih Aslan, Kadir Sabancı, Akif Durdu, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105244-105244
Open Access | Times Cited: 110
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic
Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 6, pp. 1467-1497
Open Access | Times Cited: 109
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
Han Li, Nianyin Zeng, Peishu Wu, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 118029-118029
Open Access | Times Cited: 106
PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN
Wei Wang, Yanrong Pei, SHUI-HUA WANG, et al.
Biocell (2022) Vol. 47, Iss. 2, pp. 373-384
Open Access | Times Cited: 90
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, et al.
Health Information Science and Systems (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 87
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review
Yogesh H. Bhosale, K. Sridhar Patnaik
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 3551-3603
Open Access | Times Cited: 81
LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 680-680
Open Access | Times Cited: 77
Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis
Md. Kawsher Mahbub, Milon Biswas, Loveleen Gaur, et al.
Information Sciences (2022) Vol. 592, pp. 389-401
Open Access | Times Cited: 76
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
Rubina Sarki, Khandakar Ahmed, Hua Wang, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262052-e0262052
Open Access | Times Cited: 76
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
Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Stephanie Baker, Wei Xiang
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1261-1293
Open Access | Times Cited: 68
Bio‐Inspired 3D Artificial Neuromorphic Circuits
Xuhai Liu, Fengyun Wang, Jie Su, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 22
Closed Access | Times Cited: 67
The Role of Artificial Intelligence in Echocardiography
Timothy Barry, Juan M. Farina, Chieh‐Ju Chao, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 50-50
Open Access | Times Cited: 55
A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography
Adnane Ait Nasser, Moulay A. Akhloufi
Diagnostics (2023) Vol. 13, Iss. 1, pp. 159-159
Open Access | Times Cited: 46
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