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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:

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

Showing 1-25 of 129 citing articles:

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
Deepsign: Sign Language Detection and Recognition Using Deep Learning
Deep Kothadiya, Chintan Bhatt, Krenil Sapariya, et al.
Electronics (2022) Vol. 11, Iss. 11, pp. 1780-1780
Open Access | Times Cited: 119
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Sunday Adeola Ajagbe, Matthew O. Adigun
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 5893-5927
Open Access | Times Cited: 62
Digital health: trends, opportunities and challenges in medical devices, pharma and bio-technology
Naresh Kasoju, N.S. Remya, Renjith Sasi, et al.
CSI Transactions on ICT (2023) Vol. 11, Iss. 1, pp. 11-30
Open Access | Times Cited: 53
Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans
Nillmani, Neeraj Sharma, Luca Saba, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2132-2132
Open Access | Times Cited: 61
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
Linh T. Duong, Phuong T. Nguyen, Ludovico Iovino, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109851-109851
Open Access | Times Cited: 44
An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images
Somenath Chakraborty, Beddhu Murali, Amal K. Mitra
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 4, pp. 2013-2013
Open Access | Times Cited: 40
Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
Nillmani, Pankaj K. Jain, Neeraj Sharma, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 652-652
Open Access | Times Cited: 39
Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Xingsi Xue, C. Seelammal, Ghaida Muttashar Abdulsahib, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 363-363
Open Access | Times Cited: 33
LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
Jae Seok, Akeem Bayo Kareem, Jang-Wook Hur
Sensors (2023) Vol. 23, Iss. 2, pp. 1009-1009
Open Access | Times Cited: 32
Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants
Vivek P. Chavda, Disha Valu, Palak K. Parikh, et al.
Vaccines (2023) Vol. 11, Iss. 2, pp. 374-374
Open Access | Times Cited: 29
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis
Nagamani Tenali, G. Rama Mohan Babu
New Generation Computing (2023) Vol. 41, Iss. 2, pp. 243-280
Open Access | Times Cited: 21
Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks
Nallamothu Sri Kavya, Thotapalli shilpa, N. Veeranjaneyulu, et al.
Materials Today Proceedings (2022) Vol. 64, pp. 737-743
Open Access | Times Cited: 28
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Rishav Pramanik, Subhrajit Dey, Samir Malakar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison
Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, et al.
Asian Journal of Applied Sciences (2022) Vol. 10, Iss. 5
Open Access | Times Cited: 27
Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID-19 Deceases by Using Medical Images
Yallapu Srinivas, Aravind Kumar Madam
(2025), pp. 184-203
Closed Access
Analyzing Cough Sounds for Detecting COVID-19 Using Deep Learning
P Jegathesh, R Harshni, Madhan Kumar T, et al.
Algorithms for intelligent systems (2025), pp. 253-270
Closed Access
Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning
Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf, et al.
BenchCouncil Transactions on Benchmarks Standards and Evaluations (2022) Vol. 2, Iss. 4, pp. 100088-100088
Open Access | Times Cited: 26
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al-Dhuhli, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106165-106165
Open Access | Times Cited: 25
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
Subhrajit Dey, Rajdeep Bhattacharya, Samir Malakar, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117812-117812
Open Access | Times Cited: 24
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 24
Artificial Intelligence in COVID-19 Management: A Systematic Review
Samaneh Mohammadi, Samaneh Mohammadi, SeyedAhmad SeyedAlinaghi, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 5, pp. 554-568
Open Access | Times Cited: 12
A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images
Susmita Hamal, Bhupesh Kumar Mishra, Robert A. Baldock, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100460-100460
Open Access | Times Cited: 4
Segmenting Medical Images: From UNet to Res-UNet and nnUNet
Lina Huang, Alina Miron, Kate Hone, et al.
(2024), pp. 483-489
Open Access | Times Cited: 4
Multi-Classification of Chest X-rays for COVID-19 Diagnosis Using Deep Learning Algorithms
Abeer Abdelhamid, Eman AbdElhalim, Mohamed A. Mohamed, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2080-2080
Open Access | Times Cited: 21
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