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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:

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

Showing 1-25 of 166 citing articles:

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR
Maram Mahmoud A. Monshi, Josiah Poon, Yuk Ying Chung, et al.
Computers in Biology and Medicine (2021) Vol. 133, pp. 104375-104375
Open Access | Times Cited: 123
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Bekalu Tadele Abeje, et al.
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103530-103530
Open Access | Times Cited: 74
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: 52
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
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7286-7286
Open Access | Times Cited: 78
Willing or Hesitant? A Socioeconomic Study on the Potential Acceptance of COVID-19 Vaccine in Japan
Yoshihiko Kadoya, Somtip Watanapongvanich, Pattaphol Yuktadatta, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 9, pp. 4864-4864
Open Access | Times Cited: 66
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: 66
Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation
N. B. Prakash, M. Murugappan, G. R. Hemalakshmi, et al.
Sustainable Cities and Society (2021) Vol. 75, pp. 103252-103252
Open Access | Times Cited: 58
A Review Paper about Deep Learning for Medical Image Analysis
Bagher Sistaninejhad, Habib Rasi, parisa nayeri
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 40
VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
Wilson Bakasa, Serestina Viriri
Journal of Imaging (2023) Vol. 9, Iss. 7, pp. 138-138
Open Access | Times Cited: 24
A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection
Saad I. Nafisah, Ghulam Muhammad, M. Shamim Hossain, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1489-1489
Open Access | Times Cited: 22
Multimodal deep learning model for Covid-19 detection
Fadilul-lah Yassaanah Issahaku, Xiangwei Liu, Ke Lu, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105906-105906
Closed Access | Times Cited: 8
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: 49
A survey of machine learning-based methods for COVID-19 medical image analysis
Kashfia Sailunaz, Tansel Özyer, Jon Rokne, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1257-1297
Open Access | Times Cited: 21
A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images
Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, et al.
IEEE Access (2023) Vol. 11, pp. 39243-39268
Open Access | Times Cited: 21
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Robiul Islam, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 528-550
Open Access | Times Cited: 18
FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI
Md. Mahmodul Hasan, Muhammad Minoar Hossain, Mohammad Motiur Rahman, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107407-107407
Open Access | Times Cited: 16
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 Biomarkers and Advanced Sensing Technologies for Point-of-Care (POC) Diagnosis
Ernst Emmanuel Etienne, Bharath Babu Nunna, Niladri Talukder, et al.
Bioengineering (2021) Vol. 8, Iss. 7, pp. 98-98
Open Access | Times Cited: 38
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments
Abdul Majeed, Seong Oun Hwang
Symmetry (2021) Vol. 14, Iss. 1, pp. 16-16
Open Access | Times Cited: 36
Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems
Ali Akbar Kekha Javan, Mahboobeh Jafari, Afshin Shoeibi, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3925-3925
Open Access | Times Cited: 33
CGENet: A Deep Graph Model for COVID-19 Detection Based on Chest CT
Siyuan Lu, Zheng Zhang, Yudong Zhang, et al.
Biology (2021) Vol. 11, Iss. 1, pp. 33-33
Open Access | Times Cited: 33
Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis
Hung‐Yi Chen, Chin‐Sheng Lin, Wen‐Hui Fang, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 3, pp. 455-455
Open Access | Times Cited: 25
A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images
Saeed Alahmari, Baderaldeen Altazi, Jisoo Hwang, et al.
IEEE Access (2022) Vol. 10, pp. 100763-100785
Closed Access | Times Cited: 25
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
Victor Ikechukwu Agughasi, S. Murali
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025021-025021
Open Access | Times Cited: 15
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