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 multi-view feature learning for detecting COVID-19 based on chest X-ray images
Hamidreza Hosseinzadeh
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103595-103595
Open Access | Times Cited: 18

Showing 18 citing articles:

DPAFNet: A Residual Dual-Path Attention-Fusion Convolutional Neural Network for Multimodal Brain Tumor Segmentation
Yankang Chang, Zhouzhou Zheng, Yingwei Sun, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104037-104037
Closed Access | Times Cited: 48

ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection
Kemal Akyol
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18277-18295
Open Access | Times Cited: 4

An agent-based transmission model of COVID-19 for re-opening policy design
Alma Rodríguez, Erik Cuevas, Daniel Zaldívar, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105847-105847
Open Access | Times Cited: 17

EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images
Daniel Addo, Shijie Zhou, Jehoiada Jackson, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2569-2569
Open Access | Times Cited: 15

A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification
Qingqi Hong, Lingli Lin, Zihan Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14633-14644
Open Access | Times Cited: 8

A Comprehensive Review of Artificial Intelligence in Prevention and Treatment of COVID-19 Pandemic
Haishuai Wang, Shangru Jia, Li Zhao, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 13

Self-paced multi-view positive and unlabeled graph learning with auxiliary information
Bo Liu, Tiantian Peng, Yanshan Xiao, et al.
Information Sciences (2023) Vol. 642, pp. 119146-119146
Closed Access | Times Cited: 5

Securing the Future: Technological Innovations for Social Medical Public Healthcare Security

South Eastern European Journal of Public Health (2024)
Open Access | Times Cited: 1

Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19
Kajal Kansal, Tej Bahadur Chandra, Akansha Singh
Multimedia Tools and Applications (2024)
Closed Access

Hybrid deep features computed from spatial images and bit plane-based pattern maps for the classification of chest X-ray images
Deepamoni Mahanta, Deepika Hazarika, Vijay Kumar Nath
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 3, pp. 101024-101024
Open Access

Optimizing Pulmonary Chest X-ray Classification with Stacked Feature Ensemble and Swin Transformer Integration
Manas Ranjan Mohanty, Pradeep Kumar Mallick, A. V. Reddy
Biomedical Physics & Engineering Express (2024) Vol. 11, Iss. 1, pp. 015009-015009
Closed Access

Two novel deep multi-view support vector machines for multiclass classification
Yanfeng Li, Xijiong Xie
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access

Depthwise convolution based pyramid ResNet model for accurate detection of COVID-19 from chest X-Ray images
K. G. Satheesh Kumar, V. Arunachalam
The Imaging Science Journal (2023) Vol. 72, Iss. 4, pp. 540-556
Closed Access | Times Cited: 1

YOLO for Lung Disease Detection from CT Scans
Milad Mousavi, Fatemeh Sadat Mirshafiee, Emad Shahbazi, et al.
(2023), pp. 000495-000500
Closed Access | Times Cited: 1

Identification of COVID-19 using chest X-Ray images
Vijaya Patnaik, Monalisa Mohanty, Asit Subudhi
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023), pp. 1-15
Closed Access

Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery
Dias Nessipkhanov, Venera Davletova, Nurgul Kurmanbekkyzy, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access

A Novel Method for COVID-19 Detection Based on DCNNs and Hierarchical Structure
Yuqin Li, Ke Zhang, Weili Shi, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-12
Open Access

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