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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:

COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis
Pedro Silva, Eduardo Luz, Guilherme Silva, et al.
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100427-100427
Open Access | Times Cited: 226

Showing 1-25 of 226 citing articles:

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Hammam Alshazly, Christoph Linse, Erhardt Barth, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 455-455
Open Access | Times Cited: 194
DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image
Najmul Hasan, Yukun Bao, Ashadullah Shawon, et al.
SN Computer Science (2021) Vol. 2, Iss. 5
Open Access | Times Cited: 121
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: 80
Recent progress in transformer-based medical image analysis
Zhaoshan Liu, Qiujie Lv, Ziduo Yang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107268-107268
Open Access | Times Cited: 52
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data
Mukul Singh, Shrey Bansal, Sakshi Ahuja, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 4, pp. 825-839
Open Access | Times Cited: 90
A bi-stage feature selection approach for COVID-19 prediction using chest CT images
Shibaprasad Sen, Soumyajit Saha, Somnath Chatterjee, et al.
Applied Intelligence (2021) Vol. 51, Iss. 12, pp. 8985-9000
Open Access | Times Cited: 89
Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
Rohit Kundu, Hritam Basak, Pawan Kumar Singh, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 81
Ear Recognition Based on Deep Unsupervised Active Learning
Yacine Khaldi, Amir Benzaoui, Abdeldjalil Ouahabi, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 18, pp. 20704-20713
Closed Access | Times Cited: 74
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: 71
ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images
Rohit Kundu, Pawan Kumar Singh, Массимилиано Феррара, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 1, pp. 31-50
Open Access | Times Cited: 71
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
Rajarshi Bandyopadhyay, Arpan Basu, Erik Cuevas, et al.
Applied Soft Computing (2021) Vol. 111, pp. 107698-107698
Open Access | Times Cited: 69
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan
Vinay Arora, E. Y. K. Ng, Rohan Singh Leekha, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104575-104575
Open Access | Times Cited: 63
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images
Hamad Naeem, Ali Abdulqader Bin-Salem
Applied Soft Computing (2021) Vol. 113, pp. 107918-107918
Open Access | Times Cited: 62
A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
H. Mary Shyni, E. Chitra
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100054-100054
Open Access | Times Cited: 50
CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network
S. Suganyadevi, V. Seethalakshmi
Wireless Personal Communications (2022) Vol. 126, Iss. 4, pp. 3279-3303
Open Access | Times Cited: 39
Detecting COVID-19 from chest computed tomography scans using AI-driven android application
Aryan Verma, Sagar B. Amin, Muhammad Naeem, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105298-105298
Open Access | Times Cited: 38
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 218, pp. 106731-106731
Open Access | Times Cited: 38
COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods
Raphael Taiwo Aruleba, Tayo Alex Adekiya, Nimibofa Ayawei, et al.
Bioengineering (2022) Vol. 9, Iss. 4, pp. 153-153
Open Access | Times Cited: 38
COVID-19 Detection in CT/X-ray Imagery Using Vision Transformers
Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Rami M. Jomaa, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 310-310
Open Access | Times Cited: 37
A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation
Zarin Anjuman Sejuti, Md. Saiful Islam
Sensors International (2023) Vol. 4, pp. 100229-100229
Open Access | Times Cited: 35
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
Omneya Attallah
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 233, pp. 104750-104750
Open Access | Times Cited: 34
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: 22
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 48
COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble
Rohit Kundu, Pawan Kumar Singh, Seyedali Mirjalili, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104895-104895
Open Access | Times Cited: 47
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