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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:

A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images
Irfan Ullah Khan, Nida Aslam
Information (2020) Vol. 11, Iss. 9, pp. 419-419
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

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: 313
COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning
Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1480-1480
Open Access | Times Cited: 166
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Chengfeng Cai, Bingchen Gou, Mohammad Khishe, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119206-119206
Open Access | Times Cited: 122
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
Mohamed Loey, Shaker El–Sappagh, Seyedali Mirjalili
Computers in Biology and Medicine (2022) Vol. 142, pp. 105213-105213
Open Access | Times Cited: 85
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 44
LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases
Prajoy Podder, Sanchita Rani Das, M. Rubaiyat Hossain Mondal, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 480-480
Open Access | Times Cited: 41
Design of Accurate Classification of COVID-19 Disease in X-Ray Images Using Deep Learning Approach
Joy Iong‐Zong Chen
Journal of ISMAC (2021) Vol. 2, Iss. 2, pp. 132-148
Closed Access | Times Cited: 99
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: 51
X-Ray image-based COVID-19 detection using deep learning
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Yibeltal Tamyalew, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 28, pp. 44507-44525
Open Access | Times Cited: 31
A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, et al.
EURASIP Journal on Advances in Signal Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 55
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: 50
An Improved Early Student’s Academic Performance Prediction Using Deep Learning
Nida Aslam, Irfan Ullah Khan, Leena H. Alamri, et al.
International Journal of Emerging Technologies in Learning (iJET) (2021) Vol. 16, Iss. 12, pp. 108-108
Open Access | Times Cited: 42
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans
Ameer Hamza, Muhammad Attique Khan, Majed Alhaisoni, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 101-101
Open Access | Times Cited: 34
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 33
Federated learning based Covid‐19 detection
Deepraj Chowdhury, Soham Banerjee, Madhushree Sannigrahi, et al.
Expert Systems (2022) Vol. 40, Iss. 5
Open Access | Times Cited: 32
Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray
Irfan Ullah Khan, Nida Aslam, Talha Anwar, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 669-669
Open Access | Times Cited: 29
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques
Muhammad Ahmad, Saima Sadiq, Ala’ Abdulmajid Eshmawi, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105418-105418
Open Access | Times Cited: 28
Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
Hassan A. Alsattar, Sarah Qahtan, A. A. Zaidan, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121300-121300
Open Access | Times Cited: 19
An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, et al.
J — Multidisciplinary Scientific Journal (2024) Vol. 7, Iss. 1, pp. 48-71
Open Access | Times Cited: 7
COVID-19 and Pneumonia detection and web deployment from CT scan and X-ray images using deep learning
Nahid Islam, Abu S. M. Mohsin, Shadab Hafiz Choudhury, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0302413-e0302413
Open Access | Times Cited: 5
COVID-19 diagnostics: Molecular biology to nanomaterials
Summaya Perveen, Anjali Negi, Varun Gopalakrishnan, et al.
Clinica Chimica Acta (2022) Vol. 538, pp. 139-156
Open Access | Times Cited: 19
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
Deepraj Chowdhury, Anik Das, Ajoy Dey, et al.
BenchCouncil Transactions on Benchmarks Standards and Evaluations (2023) Vol. 3, Iss. 2, pp. 100119-100119
Open Access | Times Cited: 11
Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database
Muhammad Owais, Hyo Sik Yoon, Tahir Mahmood, et al.
Applied Soft Computing (2021) Vol. 108, pp. 107490-107490
Open Access | Times Cited: 25
AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions
R. Karthik, R. Menaka, M. Hariharan, et al.
IRBM (2021) Vol. 43, Iss. 5, pp. 486-510
Open Access | Times Cited: 25
Deep Learning Model for COVID-19-Infected Pneumonia Diagnosis Using Chest Radiography Images
Bunyodbek Ibrokhimov, Justin-Youngwook Kang
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 654-670
Open Access | Times Cited: 18
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