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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 learning model for distinguishing novel coronavirus from other chest related infections in X-ray images
Fareed Ahmad, Muhammad Usman Ghani Khan, Kashif Javed
Computers in Biology and Medicine (2021) Vol. 134, pp. 104401-104401
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
Danilo Avola, Andrea Bacciu, Luigi Cinque, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106833-106833
Open Access | Times Cited: 33
Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
Chandra Mani Sharma, Lakshay Goyal, Vijayaraghavan M. Chariar, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 31
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: 6
Medical imaging and computational image analysis in COVID-19 diagnosis: A review
Shahabedin Nabavi, Azar Ejmalian, Mohsen Ebrahimi Moghaddam, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104605-104605
Open Access | Times Cited: 39
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Rishav Pramanik, Subhrajit Dey, Samir Malakar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Towards automated eye cancer classification via VGG and ResNet networks using transfer learning
Daniel Fernando Santos-Bustos, Binh-Minh Nguyen, Helbert Espitia
Engineering Science and Technology an International Journal (2022) Vol. 35, pp. 101214-101214
Open Access | Times Cited: 24
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
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 compact CNN model for automated detection of COVID-19 using thorax x-ray images
Tehreem Awan, Khan Bahadar Khan, Abdul Mannan
Journal of Intelligent & Fuzzy Systems (2023) Vol. 44, Iss. 5, pp. 7887-7907
Open Access | Times Cited: 7
A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
Qian Li, Jiangbo Ning, J. P. Yuan, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104837-104837
Open Access | Times Cited: 17
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
Let AI Perform Better Next Time—A Systematic Review of Medical Imaging-Based Automated Diagnosis of COVID-19: 2020–2022
Fan Liu, Delong Chen, Xiaocong Zhou, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3895-3895
Open Access | Times Cited: 9
Multiclass malaria parasite recognition based on transformer models and a generative adversarial network
Dianhuan Tan, Xianghui Liang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Small-Scale CNN-N model for Covid-19 Anomaly Detection and Localization From Chest X-Rays
Jagadeesh Marusani, B G Sudha, Narayana Darapaneni
(2022)
Closed Access | Times Cited: 8
Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction
Nikhilanand Arya, Sriparna Saha
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Influenza Diagnosis Deep Learning: Machine Learning Approach for Pharyngeal Image Infection
Chetan Chaudhari, Sapana Fegade, Sasanko Sekhar Gantayat, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
Exploring the Deep-Learning Techniques in Detecting the Presence of Coronavirus in the Chest X-Ray Images: A Comprehensive Review
K. Chandrasekar
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5381-5395
Open Access | Times Cited: 7
A rapid literature review on ensemble algorithms for COVID-19 classification using image-based exams
Elaine Pinto Portela, Omar Andrés Carmona Cortes, Josenildo Costa da Silva
International Journal of Hybrid Intelligent Systems (2023) Vol. 19, Iss. 3,4, pp. 129-143
Closed Access | Times Cited: 2
Preliminary Stages for COVID-19 Detection Using Image Processing
Taqwa Ahmed Alhaj, Inshirah Idris, Fatin A. Elhaj, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3171-3171
Open Access | Times Cited: 3
A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images
Yiwen Liu, Wenyu Xing, Mingquan Lin, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 2794-2805
Closed Access
Rapid bacterial identification through volatile organic compound analysis and deep learning
Bowen Yan, Lin Zeng, Yanyi Lu, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
A Rapid Review on Ensemble Algorithms for COVID-19 Classification Using Image-Based Exams
Elaine Pinto Portela, Omar Andrés Carmona Cortes, Josenildo Costa da Silva
Lecture notes in networks and systems (2023), pp. 96-106
Closed Access | Times Cited: 1
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image.
Danilo Avola, Andrea Bacciu, Luigi Cinque, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Predicting COVID-19 Using Deep Learning: A Comparative Study
Vaishnavi Jariwala, Suraj Patil, Dhananjay Joshi
Soft Computing Research Society eBooks (2023), pp. 209-225
Open Access
Comprehensive Analysis of Deep Learning Methods for COVID-19 Detection and Classification
Bindhu Prabha, S. Divya, P. Venkadesh
(2023), pp. 1-8
Closed Access
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