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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:

A novel Covid-19 and pneumonia classification method based on F-transform
Türker Tuncer, Fatih Özyurt, Şengül Doğan, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104256-104256
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Pneumonia detection in chest X-ray images using an ensemble of deep learning models
Rohit Kundu, Ritacheta Das, Zong Woo Geem, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0256630-e0256630
Open Access | Times Cited: 260
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
Intelligent Pneumonia Identification From Chest X-Rays: A Systematic Literature Review
Wasif Khan, Nazar Zaki, Luqman Ali
IEEE Access (2021) Vol. 9, pp. 51747-51771
Open Access | Times Cited: 56
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma
Expert Systems with Applications (2022) Vol. 211, pp. 118650-118650
Closed Access | Times Cited: 51
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
Kubilay Muhammed Sünnetci, Ahmet Alkan
Expert Systems with Applications (2022) Vol. 216, pp. 119430-119430
Open Access | Times Cited: 50
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
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images
Narin Aslan, Gonca Özmen Koca, Mehmet Ali Kobat, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104539-104539
Open Access | Times Cited: 38
Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet
Burak Taşçı
Diagnostics (2023) Vol. 13, Iss. 5, pp. 859-859
Open Access | Times Cited: 23
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images
Mustafa Kaya, Mustafa Eriş
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104559-104559
Open Access | Times Cited: 21
On the Implementation of a Post-Pandemic Deep Learning Algorithm Based on a Hybrid CT-Scan/X-ray Images Classification Applied to Pneumonia Categories
Abdelghani Moussaid, Nabila Zrira, Ibtissam Benmiloud, et al.
Healthcare (2023) Vol. 11, Iss. 5, pp. 662-662
Open Access | Times Cited: 17
Lung disease classification using chest X ray image: An optimal ensemble of classification with hybrid training
Rathod Dharmesh Ishwerlal, Reshu Agarwal, K.S. Sujatha
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105941-105941
Closed Access | Times Cited: 5
MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201
Fahrettin Burak Demir, Mehmet Bayğın, Ilknur Tuncer, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75061-75083
Open Access | Times Cited: 5
Early Detection of Alzheimer's Disease from MR Images Using Fine-Tuning Neighborhood Component Analysis and Convolutional Neural Networks
Öznur Özaltın
Arabian Journal for Science and Engineering (2025)
Open Access
A stacked ensemble for the detection of COVID-19 with high recall and accuracy
Ebenezer Jangam, Chandra Sekhara Rao Annavarapu
Computers in Biology and Medicine (2021) Vol. 135, pp. 104608-104608
Open Access | Times Cited: 34
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images
Huimin Zhao, Zhenyu Fang, Jinchang Ren, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 4032-4043
Open Access | Times Cited: 25
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM
Yılmaz Kaya, Züleyha Yiner, Mahmut Kaya, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 124011-124011
Closed Access | Times Cited: 24
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
Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images
Sandhya Sharma, Sheifali Gupta, Deepali Gupta, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 18
A Systematic Survey of Automatic Detection of Lung Diseases from Chest X-Ray Images: COVID-19, Pneumonia, and Tuberculosis
Shiva Prasad Koyyada, Thipendra P. Singh
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 3
Cervical Cancer Classification from Pap Smear Images Using Modified Fuzzy C Means, PCA, and KNN
N. Lavanya Devi, P. Thirumurugan
IETE Journal of Research (2021) Vol. 68, Iss. 3, pp. 1591-1598
Closed Access | Times Cited: 24
COVID-19 Diagnosis using X-Ray Images and Deep learning
Shivani Sharma, Shamik Tiwari
(2021), pp. 344-349
Open Access | Times Cited: 23
PCXRNet: Pneumonia Diagnosis From Chest X-Ray Images Using Condense Attention Block and Multiconvolution Attention Block
Yibo Feng, Xu Yang, Dawei Qiu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 4, pp. 1484-1495
Closed Access | Times Cited: 17
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
A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis
Yu Wang, Carol Anne Hargreaves
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100100-100100
Open Access | Times Cited: 14
A fuzzy fine-tuned model for COVID-19 diagnosis
Nima Esmi Rudbardeh, Yasaman Golshan, Sara Asadi, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106483-106483
Open Access | Times Cited: 8
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