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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:

Deep Ensemble Model for Classification of Novel Coronavirus in Chest X‐Ray Images
Fareed Ahmad, Amjad Farooq, Muhammad Usman Ghani Khan
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images
Hamid Nasiri, Seyed Ali Alavi
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 77
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection
Moloud Abdar, Soorena Salari, Sina Qahremani, et al.
Information Fusion (2022) Vol. 90, pp. 364-381
Open Access | Times Cited: 76
Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT‐CNN Ensemble Model
Zhencun Jiang, Zhengxin Dong, Lingyang Wang, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 80
Chest X-ray analysis empowered with deep learning: A systematic review
Dulani Meedeniya, Hashara Kumarasinghe, Shammi Kolonne, et al.
Applied Soft Computing (2022) Vol. 126, pp. 109319-109319
Open Access | Times Cited: 70
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 68
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Hassaan Malik, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296352-e0296352
Open Access | Times Cited: 10
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: 53
A Decision-Level Fusion Method for COVID-19 Patient Health Prediction
Abdu Gumaei, Walaa N. Ismail, Md. Rafiul Hassan, et al.
Big Data Research (2021) Vol. 27, pp. 100287-100287
Open Access | Times Cited: 46
Deep learning for understanding multilabel imbalanced Chest X-ray datasets
Helena Liz, Javier Huertas‐Tato, Manuel Sánchez-Montañés, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 291-306
Open Access | Times Cited: 18
Enhancing Medical Image Reclamation for Chest Samples Using B-Coefficients, DT-CWT and EPS Algorithm
B. P. Pradeep Kumar, Pramod Rangaiah, Robin Augustine
IEEE Access (2023) Vol. 11, pp. 113360-113375
Open Access | Times Cited: 17
Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT
Ye Luo, Yaowen Chen, Huanzeng Xie, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107932-107932
Open Access | Times Cited: 8
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
Dheeb Albashish
PeerJ Computer Science (2022) Vol. 8, pp. e1031-e1031
Open Access | Times Cited: 26
A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application
Duc Tri Phan, Quoc-Bao Ta, Thanh‐Canh Huynh, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104610-104610
Closed Access | Times Cited: 28
Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization
Asad Khan, Muhammad Usman Akram, Sajid Nazir
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0280352-e0280352
Open Access | Times Cited: 12
Classification of COVID-19 cases using Fine-Tune Convolution Neural Network (FT-CNN)
Sheshang Degadwala, Dhairya Vyas, Harsh Dave
(2021), pp. 609-613
Open Access | Times Cited: 26
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
Moloud Abdar, Soorena Salari, Sina Qahremani, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
A deep and handcrafted features‐based framework for diagnosis of COVID‐19 from chest x‐ray images
Ferhat Bozkurt
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 5
Open Access | Times Cited: 24
A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks
Nagwa Elaraby, Sherif Barakat, Amira Rezk
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 prediction
R. Sakthivel, I. Sumaiya Thaseen, M. Vanitha, et al.
Sustainable Cities and Society (2022) Vol. 80, pp. 103713-103713
Open Access | Times Cited: 15
Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction
Razi J. Al-Azawi, Nadia M. G. Al-Saidi, Hamid A. Jalab, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e553-e553
Open Access | Times Cited: 19
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images
Sankhadeep Chatterjee, Soumyajit Maity, Mayukh Bhattacharjee, et al.
New Generation Computing (2022) Vol. 41, Iss. 1, pp. 25-60
Open Access | Times Cited: 13
SSGCN: a sampling sequential guided graph convolutional network
Xiaoxiao Wang, Xibei Yang, Pingxin Wang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 5, pp. 2023-2038
Closed Access | Times Cited: 8
A Hybrid Deep Learning Approach for COVID-19 Diagnosis via CT and X-ray Medical Images
Channabasava Chola, M. Pramodha, Abdullah Y. Muaad, et al.
(2021), pp. 13-13
Open Access | Times Cited: 18
Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models
Fareed Ahmad, Kashif Javed, Ahsen Tahir, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A brief review and scientometric analysis on ensemble learning methods for handling COVID-19
Mohammad Javad Shayegan
Heliyon (2024) Vol. 10, Iss. 4, pp. e26694-e26694
Open Access | Times Cited: 2
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