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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 deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102365-102365
Open Access | Times Cited: 357

Showing 1-25 of 357 citing articles:

A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images
Abhijit Bhattacharyya, Divyanshu Bhaik, Sunil Kumar, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103182-103182
Open Access | Times Cited: 154
Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 137
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
Tianqing Hu, Mohammad Khishe, Mokhtar Mohammadi, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102764-102764
Open Access | Times Cited: 122
COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
S. V. Kogilavani, Prabhu Jayagopal, R. Sandhiya, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-13
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
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
COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare
Debaditya Shome, T. Kar, Sachi Nandan Mohanty, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 21, pp. 11086-11086
Open Access | Times Cited: 107
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Miodrag Živković, Nebojša Bačanin, Miloš Antonijević, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3798-3798
Open Access | Times Cited: 106
An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer
Vatsala Anand, Sheifali Gupta, Ayman Altameem, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1628-1628
Open Access | Times Cited: 100
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
A systematic literature review of machine learning application in COVID-19 medical image classification
Daniel Daniel, Tjeng Wawan Cenggoro, Bens Pardamean
Procedia Computer Science (2023) Vol. 216, pp. 749-756
Open Access | Times Cited: 46
Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization
Arjun Abhishek, Rajib Kumar Jha, Ruchi Sinha, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104722-104722
Closed Access | Times Cited: 45
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: 44
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Haval I. Hussein, Abdulhakeem O. Mohammed, Masoud Muhammed Hassan, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119900-119900
Open Access | Times Cited: 44
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 17
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening
Ankita Shelke, Madhura Inamdar, Vruddhi Shah, et al.
SN Computer Science (2021) Vol. 2, Iss. 4
Open Access | Times Cited: 90
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction
Sanjoy Chakraborty, Apu Kumar Saha, Sukanta Nama, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104984-104984
Open Access | Times Cited: 84
UAVs path planning architecture for effective medical emergency response in future networks
Sara Imran Khan, Zakria Qadir, Hafiz Suliman Munawar, et al.
Physical Communication (2021) Vol. 47, pp. 101337-101337
Closed Access | Times Cited: 80
Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
Adi Alhudhaif, Kemal Polat, Onur Karaman
Expert Systems with Applications (2021) Vol. 180, pp. 115141-115141
Open Access | Times Cited: 80
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images
Pradeep Kumar Chaudhary, Ram Bilas Pachori
Computers in Biology and Medicine (2021) Vol. 134, pp. 104454-104454
Open Access | Times Cited: 76
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer
Essam H. Houssein, Bahaa El-din Helmy, Diego Oliva, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103401-103401
Open Access | Times Cited: 72
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 67
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
Weiqiu Jin, Shuqin Dong, Changzi Dong, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104252-104252
Open Access | Times Cited: 66
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19
Aoxiao Zhong, Xiang Li, Dufan Wu, et al.
Medical Image Analysis (2021) Vol. 70, pp. 101993-101993
Open Access | Times Cited: 62
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