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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 Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Majid Nour, Zafer Cömert, Kemal Polat
Applied Soft Computing (2020) Vol. 97, pp. 106580-106580
Open Access | Times Cited: 305

Showing 1-25 of 305 citing articles:

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 4624
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
Gonçalo Marques, Deevyankar Agarwal, Isabel de la Torre Díez
Applied Soft Computing (2020) Vol. 96, pp. 106691-106691
Open Access | Times Cited: 332
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
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
Federated learning for COVID-19 screening from Chest X-ray images
I. Féki, Sourour Ammar, Yousri Kessentini, et al.
Applied Soft Computing (2021) Vol. 106, pp. 107330-107330
Open Access | Times Cited: 194
Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare
Qiang Wang, Min Su, Min Zhang, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 6053-6053
Open Access | Times Cited: 178
Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images
El-Sayed M. El-kenawy, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Seyedali Mirjalili, et al.
IEEE Access (2020) Vol. 8, pp. 179317-179335
Open Access | Times Cited: 171
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 163
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
Rui Shi, Xinyue Xu, Jianmin Li, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107538-107538
Closed Access | Times Cited: 147
Artificial Intelligence for COVID-19: A Systematic Review
Lian Wang, Yonggang Zhang, Dongguang Wang, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 131
Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification
El-Sayed M. El-kenawy, Seyedali Mirjalili, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
IEEE Access (2021) Vol. 9, pp. 36019-36037
Open Access | Times Cited: 122
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
Dac‐Nhuong Le, Velmurugan Subbiah Parvathy, Deepak Gupta, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 11, pp. 3235-3248
Open Access | Times Cited: 114
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Ahmet Saygılı
Applied Soft Computing (2021) Vol. 105, pp. 107323-107323
Open Access | Times Cited: 114
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images
Fatih Demir
Applied Soft Computing (2021) Vol. 103, pp. 107160-107160
Open Access | Times Cited: 111
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
Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization
Hanaa ZainEldin, Samah A. Gamel, El-Sayed M. El-kenawy, et al.
Bioengineering (2022) Vol. 10, Iss. 1, pp. 18-18
Open Access | Times Cited: 98
RETRACTED ARTICLE: A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
Yasin Kaya, Ercan Gürsoy
Soft Computing (2023) Vol. 27, Iss. 9, pp. 5521-5535
Open Access | Times Cited: 70
Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans
Mohamed Esmail Karar, Ezz El‐Din Hemdan, Marwa A. Shouman
Complex & Intelligent Systems (2020) Vol. 7, Iss. 1, pp. 235-247
Open Access | Times Cited: 132
Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases
Arun Sharma, S. Sheeba Rani, Dinesh Gupta
International Journal of Biomedical Imaging (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 107
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network
Javeria Amin, Muhammad Sharif, Nadia Gul, et al.
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1677-1688
Open Access | Times Cited: 99
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 90
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
Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Malika Bendechache, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 84
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: 83
Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
José Daniel López-Cabrera, Rubén Orozco‐Morales, Jorge Armando Portal-Díaz, et al.
Health and Technology (2021) Vol. 11, Iss. 2, pp. 411-424
Open Access | Times Cited: 79
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