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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:

Effect of image transformation on EfficientNet model for COVID-19 CT image classification
A. Shamila Ebenezer, S. Deepa Kanmani, Mahima Sivakumar, et al.
Materials Today Proceedings (2021) Vol. 51, pp. 2512-2519
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

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
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma
Zühal Kurt, Şahin Işık, Zeynep Kaya, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 16, pp. 12121-12132
Open Access | Times Cited: 20
The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries
Şerife Kaba, Hüseyin Hacı, Ali Işın, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2274-2274
Open Access | Times Cited: 16
Impact of the Preprocessing Steps in Deep Learning-Based Image Classifications
H. James Deva Koresh
National Academy Science Letters (2024) Vol. 47, Iss. 6, pp. 645-647
Closed Access | Times Cited: 7
Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 6
Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform
Rajneesh Kumar Patel, Manish Kashyap
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 829-841
Open Access | Times Cited: 26
Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images
Rajneesh Kumar Patel, Manish Kashyap
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 3, pp. 807-821
Closed Access | Times Cited: 15
Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images
D. Suganya, R. Kalpana
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105820-105820
Open Access | Times Cited: 14
Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization
Honghua Liu, Mingwei Zhao, Chang She, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317450-e0317450
Open Access
Adaptive hybrid segmentation combined with meta heuristic optimization in transfer learning for plant leaf disease classification
M Naveenkumar, S. Nandagopal
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
KONet: Toward a Weighted Ensemble Learning Model for Knee Osteoporosis Classification
M. J. Aashik Rasool, Shabir Ahmad, Sabina Umirzakova, et al.
IEEE Access (2024) Vol. 12, pp. 5731-5742
Open Access | Times Cited: 4
An Enhanced LightGBM-Based Breast Cancer Detection Technique Using Mammography Images
Abdul Rahaman Wahab Sait, R. Nagaraj
Diagnostics (2024) Vol. 14, Iss. 2, pp. 227-227
Open Access | Times Cited: 4
An efficient deep multi‐task learning structure for covid‐19 disease
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
IET Image Processing (2023) Vol. 17, Iss. 13, pp. 3728-3745
Open Access | Times Cited: 7
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: 6
End-to-End Deep Learning Architectures Using 3D Neuroimaging Biomarkers for Early Alzheimer’s Diagnosis
Deevyankar Agarwal, M. Álvaro Berbís, Teodoro Martín‐Noguerol, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2575-2575
Open Access | Times Cited: 9
A critical analysis of transfer learning models for computer vision tasks
Jasmine Chhikara, Nidhi Goel, Neeru Rathee
AIP conference proceedings (2024) Vol. 3232, pp. 040016-040016
Closed Access | Times Cited: 1
Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review
Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2517-e2517
Open Access | Times Cited: 1
CoroTrans-CL: A Novel Transformer-Based Continual Deep Learning Model for Image Recognition of Coronavirus Infections
Boyuan Wang, Du Zhang, Zonggui Tian
Electronics (2023) Vol. 12, Iss. 4, pp. 866-866
Open Access | Times Cited: 3
Comparison of image enhancement techniques and CNN models for COVID-19 classification using chest x-rays images
Isoon Kanjanasurat, Nontacha Domepananakorn, Tuanjai Archevapanich, et al.
(2022), pp. 6-9
Closed Access | Times Cited: 5
The Classification and Judgment of Abnormal Problems in Music Song Interpretation Based on Deep Learning
Zhongwei Xu, Weite Zou, Yuan Feng, et al.
IEEE Access (2023) Vol. 11, pp. 68706-68716
Open Access | Times Cited: 2
Effect of Image Enhancement in CNN-Based Medical Image Classification: A Systematic Literature Review
Vio Albert Ferdinand, Vinsen Nawir, Gregorius Emmanuel Henry, et al.
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2022), pp. 87-92
Closed Access | Times Cited: 3
An empirical investigation of deep transfer learning approach to automatic detection of coronavirus disease (COVID-19) in CT images
Sakinat Oluwabukonla Folorunso, Abidemi Emmanuel Adeniyi, Lukman Adebayo Ogundele, et al.
(2024), pp. 1-8
Closed Access
A Novel Graph Convolutional Neural Networks (GCNNs)-based Framework to Enhance the Detection of COVID-19 from X-Ray and CT Scan Images
Dinesh Raghu, Hrudaya Kumar Tripathy, Raiza Borreo
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Covid-19 Detection Using Stacked Ensemble Learning Approach
Rashmi Kondaparthi, Arun Gorantla, Kancharla RamTheerdha Reddy, et al.
(2024), pp. 1-8
Closed Access
Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals
Filiz Demirdöğen, Çağla Danacı, Seda Arslan Tuncer, et al.
Hitit Medical Journal (2024) Vol. 6, Iss. 3, pp. 257-265
Open Access
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