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 deep learning based method for COVID-19 detection from CT image
Seyyed-Mohammad Javadi-Moghaddam, Hossain Gholamalinejad
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102987-102987
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Hamid Nasiri, Sharif Hasani
Radiography (2022) Vol. 28, Iss. 3, pp. 732-738
Open Access | Times Cited: 88

A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
Nirmala Devi Kathamuthu, S. Shanthi, Hoang-Quynh Le, et al.
Advances in Engineering Software (2022) Vol. 175, pp. 103317-103317
Open Access | Times Cited: 72

A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
Mei‐Ling Huang, Yu-Chieh Liao
Computers in Biology and Medicine (2022) Vol. 146, pp. 105604-105604
Open Access | Times Cited: 70

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
İrem Taşçı, Burak Taşçı, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 96, pp. 252-268
Closed Access | Times Cited: 53

Ensemble Image Explainable AI (XAI) Algorithm for Severe Community-Acquired Pneumonia and COVID-19 Respiratory Infections
Lin Zou, Han Leong Goh, Charlene Liew, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 2, pp. 242-254
Open Access | Times Cited: 48

Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss function
Anand Motwani, Piyush Kumar Shukla, Mahesh Pawar, et al.
Computers & Electrical Engineering (2022) Vol. 105, pp. 108479-108479
Open Access | Times Cited: 28

Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
Mesut Toğaçar, Nedim Muzoğlu, Burhan Ergen, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103128-103128
Open Access | Times Cited: 35

Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network
Hasan Polat
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 2, pp. 443-455
Open Access | Times Cited: 24

A Survey on Deep Learning in COVID-19 Diagnosis
Xue Han, Zuojin Hu, Shuihua Wang‎, et al.
Journal of Imaging (2022) Vol. 9, Iss. 1, pp. 1-1
Open Access | Times Cited: 22

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: 5

COVID-19 classification using CT images with Dense Cascade Neuro-Fuzzy Network
S. Karthi, D. Arul Kumar, G.S. Jackulin Asha, et al.
Australian Journal of Electrical & Electronics Engineering (2025), pp. 1-14
Closed Access

Development of an Effective Deep Learning Model for COVID-19 Detection from CT Images
Tanju Ceylan, Özkan İni̇k
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi (2025) Vol. 14, Iss. 1, pp. 156-166
Closed Access

An Enhanced UNet3+ Model for Accurate Identification of COVID-19 in CT Images
Hải Thanh Nguyễn, Nhat Minh Nguyen, Thinh Quoc Huynh, et al.
Digital Signal Processing (2025), pp. 105205-105205
Closed Access

Deep learning systems for automatic diagnosis of infant cry signals
Salim Lahmiri, Chakib Tadj, Christian Gargour, et al.
Chaos Solitons & Fractals (2021) Vol. 154, pp. 111700-111700
Closed Access | Times Cited: 29

MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images
Amogh Manoj Joshi, Deepak Ranjan Nayak
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5355-5363
Closed Access | Times Cited: 19

Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images
Siying Chen, Minghui Liu, Deng Pan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5344-5354
Closed Access | Times Cited: 16

Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives
Amir Rehman, Huanlai Xing, Muhammad Adnan Khan, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104642-104642
Open Access | Times Cited: 10

A Deep Learning and Handcrafted Based Computationally Intelligent Technique for Effective COVID-19 Detection from X-ray/CT-scan Imaging
Mohammed Habib, Muhammad Ramzan, Sajid Ali Khan
Journal of Grid Computing (2022) Vol. 20, Iss. 3
Open Access | Times Cited: 15

Oil Spill Detection based on Machine Learning and Deep Learning: A Review
Alaa Akram Huby, Rafid Sagban, Raaid Alubady
2022 5th International Conference on Engineering Technology and its Applications (IICETA) (2022), pp. 85-90
Closed Access | Times Cited: 9

Lung Infection Detection via CT Images and Transfer Learning Techniques in Deep Learning
Marwa A. Shames, Mohammed Y. Kamil
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 47, Iss. 1, pp. 206-218
Open Access | Times Cited: 1

Deep learning‐based COVID‐19 diagnosis using CT scans with laboratory and physiological parameters
Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3127-3142
Open Access | Times Cited: 4

A Survey of Deep Learning Applications for COVID-19 Detection Techniques Based on Medical Images
Reham S. Saeed, Bashra Kadhim Oleiwi
Ingénierie des systèmes d information (2022) Vol. 27, Iss. 3, pp. 399-408
Open Access | Times Cited: 7

Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis
Qinxian Zhao, Xuelei He, Kun Wang, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1895-1905
Closed Access | Times Cited: 7

Self-paced Multi-view Learning for CT-based severity assessment of COVID-19
Yishu Liu, Bingzhi Chen, Zheng Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104672-104672
Open Access | Times Cited: 3

COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm
Guowei Wang, Shuli Guo, Lina Han, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104159-104159
Open Access | Times Cited: 5

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