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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:

An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization
Dalia Ezzat, Aboul Ella Hassanien, Hassan Aboul-Ella
Applied Soft Computing (2020) Vol. 98, pp. 106742-106742
Open Access | Times Cited: 185

Showing 1-25 of 185 citing articles:

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 3, pp. 199-217
Open Access | Times Cited: 892
A machine learning forecasting model for COVID-19 pandemic in India
R. Sujath, Jyotir Moy Chatterjee, Aboul Ella Hassanien
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 7, pp. 959-972
Open Access | Times Cited: 345
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam, Fakhri Karray, Reda Alhajj, et al.
IEEE Access (2021) Vol. 9, pp. 30551-30572
Open Access | Times Cited: 266
A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope
Ahmad Waleed Salehi, Shakir Khan, Gaurav Gupta, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5930-5930
Open Access | Times Cited: 198
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 194
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 135
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Goram Mufarah M. Alshmrani, Qiang Ni, Richard Jiang, et al.
Alexandria Engineering Journal (2022) Vol. 64, pp. 923-935
Open Access | Times Cited: 131
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
Tianqing Hu, Mohammad Khishe, Mokhtar Mohammadi, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102764-102764
Open Access | Times Cited: 122
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: 120
Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm
Yang Yu, Maria Rashidi, Bijan Samali, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 5, pp. 2244-2263
Closed Access | Times Cited: 119
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
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization
Muhammet Fatih Aslan, Kadir Sabancı, Akif Durdu, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105244-105244
Open Access | Times Cited: 110
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 18015-18033
Open Access | Times Cited: 102
Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images
Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, et al.
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 343-363
Open Access | Times Cited: 99
PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN
Wei Wang, Yanrong Pei, SHUI-HUA WANG, et al.
Biocell (2022) Vol. 47, Iss. 2, pp. 373-384
Open Access | Times Cited: 90
An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm
S. Nandhini, K. Ashokkumar
Neural Computing and Applications (2022) Vol. 34, Iss. 7, pp. 5513-5534
Closed Access | Times Cited: 85
Detection of COVID-19 Based on Chest X-rays Using Deep Learning
Walaa Gouda, Maram Almurafeh, Mamoona Humayun, et al.
Healthcare (2022) Vol. 10, Iss. 2, pp. 343-343
Open Access | Times Cited: 81
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 16113-16127
Open Access | Times Cited: 72
Survey on Explainable AI: From Approaches, Limitations and Applications Aspects
Wenli Yang, Yu-Chen Wei, H. Wei, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 161-188
Open Access | Times Cited: 59
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 43
Efficient pneumonia detection using Vision Transformers on chest X-rays
Sukhendra Singh, Manoj Kumar, Abhay Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images
Kamal KC, Zhendong Yin, Mingyang Wu, et al.
Signal Image and Video Processing (2021) Vol. 15, Iss. 5, pp. 959-966
Open Access | Times Cited: 88
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
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review
Eleni S. Adamidi, Konstantinos Mitsis, Konstantina S. Nikita
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2833-2850
Open Access | Times Cited: 79
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105141-105141
Open Access | Times Cited: 75
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