Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, et al.
IEEE Access (2020) Vol. 8, pp. 132665-132676
Open Access | Times Cited: 1650

Showing 1-25 of 1650 citing articles:

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2814
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 8, pp. 2626-2637
Open Access | Times Cited: 1061
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104319-104319
Open Access | Times Cited: 862
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
Ferhat Uçar, Deniz Korkmaz
Medical Hypotheses (2020) Vol. 140, pp. 109761-109761
Open Access | Times Cited: 746
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Jinyu Zhao, Yichen Zhang, Xuehai He, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 655
A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100412-100412
Open Access | Times Cited: 564
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 559
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Rachna Jain, Meenu Gupta, Soham Taneja, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1690-1700
Open Access | Times Cited: 469
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Michael J. Horry, Subrata Chakraborty, Manoranjan Paul, et al.
IEEE Access (2020) Vol. 8, pp. 149808-149824
Open Access | Times Cited: 430
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans
Xuehai He, Xingyi Yang, Shanghang Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 418
Deep Transfer Learning Based Classification Model for COVID-19 Disease
Yadunath Pathak, Prashant Kumar Shukla, Akhilesh Tiwari, et al.
IRBM (2020) Vol. 43, Iss. 2, pp. 87-92
Open Access | Times Cited: 416
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, et al.
IEEE Access (2020) Vol. 8, pp. 191586-191601
Open Access | Times Cited: 402
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, et al.
International Journal of Medical Informatics (2020) Vol. 144, pp. 104284-104284
Open Access | Times Cited: 389
New machine learning method for image-based diagnosis of COVID-19
Mohamed Abd Elaziz, Khalid M. Hosny, Ahmad Salah, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0235187-e0235187
Open Access | Times Cited: 361
Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays
Nripendra Narayan Das, Naresh Kumar, Manjit Kaur, et al.
IRBM (2020) Vol. 43, Iss. 2, pp. 114-119
Open Access | Times Cited: 318
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen, Kadir Sabancı, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106912-106912
Open Access | Times Cited: 312
Significant applications of virtual reality for COVID-19 pandemic
Ravi Pratap Singh, Mohd Javaid, Ravinder Kataria, et al.
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2020) Vol. 14, Iss. 4, pp. 661-664
Open Access | Times Cited: 305
Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19
Abdullahi Umar Ibrahim, Mehmet Özsöz, Sertan Serte, et al.
Cognitive Computation (2021) Vol. 16, Iss. 4, pp. 1589-1601
Open Access | Times Cited: 281
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Dina M. Ibrahim, Nada M. Elshennawy, Amany Sarhan
Computers in Biology and Medicine (2021) Vol. 132, pp. 104348-104348
Open Access | Times Cited: 277
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113909-113909
Open Access | Times Cited: 259
Transformers in medical image analysis
Kelei He, Gan Chen, Zhuoyuan Li, et al.
Intelligent Medicine (2022) Vol. 3, Iss. 1, pp. 59-78
Open Access | Times Cited: 238
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, et al.
AgriEngineering (2021) Vol. 3, Iss. 2, pp. 294-312
Open Access | Times Cited: 234
COVID-19 image classification using deep features and fractional-order marine predators algorithm
Ahmed T. Sahlol, Dalia Yousri, Ahmed A. Ewees, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 231
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Anunay Gupta, Anjum Ansari, Shreyansh Gupta, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106859-106859
Open Access | Times Cited: 217
COVID-19 open source data sets: a comprehensive survey
Junaid Shuja, Eisa Alanazi, Waleed Alasmary, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1296-1325
Open Access | Times Cited: 208
Page 1 - Next Page

Scroll to top