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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:

Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN
R. Karthik, R. Menaka, M. Hariharan
Applied Soft Computing (2020) Vol. 99, pp. 106744-106744
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

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
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: 121
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
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
Densely attention mechanism based network for COVID-19 detection in chest X-rays
Zahid Ullah, Muhammad Usman, Siddique Latif, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 43
An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)
Arunodaya Raj Mishra, Pratibha Rani, R. Krishankumar, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107155-107155
Open Access | Times Cited: 88
Detection of pneumonia using convolutional neural networks and deep learning
Patrik Szepesi, László Szilágyi
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1012-1022
Open Access | Times Cited: 66
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network
Gaffari Çelik
Applied Soft Computing (2022) Vol. 133, pp. 109906-109906
Open Access | Times Cited: 59
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
Arash Heidari, Shiva Toumaj, Nima Jafari Navimipour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105461-105461
Open Access | Times Cited: 55
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 50
A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system
Theodora Sanida, Minas Dasygenis
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4756-4780
Open Access | Times Cited: 7
Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis
Anupam Das
Multimedia Tools and Applications (2021) Vol. 81, Iss. 4, pp. 5407-5441
Open Access | Times Cited: 53
A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images
Aravind Krishnaswamy Rangarajan, R. Hari Krishnan
Expert Systems with Applications (2021) Vol. 183, pp. 115401-115401
Open Access | Times Cited: 52
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images
Zhijie Lin, Zhaoshui He, Shengli Xie, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 32, Iss. 11, pp. 4781-4792
Closed Access | Times Cited: 52
Medical image processing and COVID-19: A literature review and bibliometric analysis
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Muhammed Yousoof Ismail, et al.
Journal of Infection and Public Health (2021) Vol. 15, Iss. 1, pp. 75-93
Open Access | Times Cited: 48
CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection
Olaide N. Oyelade, Absalom E. Ezugwu, Haruna Chiroma
IEEE Access (2021) Vol. 9, pp. 77905-77919
Open Access | Times Cited: 47
A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images
Anubhav Sharma, Karamjeet Singh, Deepika Koundal
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103778-103778
Open Access | Times Cited: 35
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
Danilo Avola, Andrea Bacciu, Luigi Cinque, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106833-106833
Open Access | Times Cited: 33
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
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles
Fabrício Breve
Expert Systems with Applications (2022) Vol. 204, pp. 117549-117549
Open Access | Times Cited: 29
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review
Yogesh H. Bhosale, K. Sridhar Patnaik
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 39157-39210
Open Access | Times Cited: 16
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights
Lamia Awassa, Imen Jdey, Habib Dhahri, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1890-1890
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: 15
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images
Shengchao Chen, Sufen Ren, Guanjun Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 753-764
Open Access | Times Cited: 15
Challenges, opportunities, and advances related to COVID-19 classification based on deep learning
Abhishek Agnihotri, Narendra Kohli
Data Science and Management (2023) Vol. 6, Iss. 2, pp. 98-109
Open Access | Times Cited: 13
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