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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 comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
H. Mary Shyni, E. Chitra
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100054-100054
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography
Adnane Ait Nasser, Moulay A. Akhloufi
Diagnostics (2023) Vol. 13, Iss. 1, pp. 159-159
Open Access | Times Cited: 47
Lung Cancer Classification using Optimized Attention-based Convolutional Neural Network with DenseNet-201 Transfer Learning Model on CT image
G Mohandass, G. Hari Krishnan, D. Selvaraj, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106330-106330
Closed Access | Times Cited: 16
Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach for accurate diagnosis
Md Khairul Islam, Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2023) Vol. 14, pp. 100492-100492
Open Access | Times Cited: 28
A review on lung disease recognition by acoustic signal analysis with deep learning networks
Alyaa Hamel Sfayyih, Nasri Sulaiman, Ahmad H. Sabry
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15
Challenges, opportunities, and advances related to COVID-19 classification based on deep learning
Abhishek Agnihotri, Narendra Kohli
Data Science and Management (2023) Vol. 6, Iss. 2, pp. 98-109
Open Access | Times Cited: 13
Halide perovskite x-ray detectors: Fundamentals, progress, and outlook
Runkai Liu, Feng Li, Fang Zeng, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 5
AICOM-MP: an AI-based monkeypox detector for resource-constrained environments
T. Yang, Tianze Yang, Andrew Liu, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 4
A comparative analysis of the binary and multiclass classified chest X-ray images of pneumonia and COVID-19 with ML and DL models
Madhumita Pal, Ranjan K. Mohapatra, Ashish K. Sarangi, et al.
Open Medicine (2025) Vol. 20, Iss. 1
Open Access
Facial Recognition Algorithms: A Systematic Literature Review
N Fadel
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 58-58
Open Access
Detection of COVID 19 using lung Xray images by seeded region growing method a machine learning approach
Puneeth Kumar Benavalli Somashekarappa, B. Krishna Mohan, Sivashanmugam Dhandapani
AIP conference proceedings (2025) Vol. 3175, pp. 020076-020076
Closed Access
Classification of the ICU Admission for COVID-19 Patients with Transfer Learning Models Using Chest X-Ray Images
Yun‐Chi Lin, Yu-Hua Fang
Diagnostics (2025) Vol. 15, Iss. 7, pp. 845-845
Open Access
Two-Parallel-Step CNN Framework for Detection of COVID-19 Based on Segmented CT-Scan and Chest X-Ray Images
Sahbi Bahroun
Vietnam Journal of Computer Science (2025), pp. 1-27
Open Access
A Retinex‐Based Network for Low‐Light Image Enhancement With Multi‐Scale Denoising and Focal‐Aware Reflections
Peng Ji, Zhuo‐Lin Lv, Zhao Zhang
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis
Youssra El Idrissi El-Bouzaidi, Otman Abdoun
Scientific African (2023) Vol. 22, pp. e01961-e01961
Open Access | Times Cited: 12
Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification
Hongyan Zhu, Dani Wang, Yuzhen Wei, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1549-1549
Open Access | Times Cited: 3
A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling
Gouri Shankar Chakraborty, Salil Batra, Aman Singh, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1806-1806
Open Access | Times Cited: 8
Lotus species classification using transfer learning based on VGG16, ResNet152V2, and MobileNetV2
Nachirat Rachburee, Wattana Punlumjeak
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 4, pp. 1344-1344
Open Access | Times Cited: 13
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Dmitriy Viderman, Alexander Kotov, Maxim N. Popov, et al.
International Journal of Medical Informatics (2023) Vol. 182, pp. 105308-105308
Closed Access | Times Cited: 7
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
Lecture notes in computer science (2024), pp. 179-190
Closed Access | Times Cited: 2
Deep learning-based automated COVID-19 classification from computed tomography images
Kenan Morani, Devrim Ünay
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 6, pp. 2145-2160
Open Access | Times Cited: 6
An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine
Roberto Rodríguez, Anthony Léon, Laura Brito, et al.
(2024)
Open Access | Times Cited: 1
Identification and antibiotics Sensitivity of Secondary Bacterial Infection in COVID-19 (SARS-CoV-2) Pneumonia patients in Kirkuk/Iraq
Sunober Abdalsamad Mohammed, Asal Aziz Tawfeeq, Muhammad Yawoz Noraldin
NTU Journal of Pure Sciences (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 4
Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning
Naureen Zainab, Hammad Afzal, Taher Al‐Shehari, et al.
IEEE Access (2023) Vol. 11, pp. 127637-127650
Open Access | Times Cited: 4
Detection of hidden pediatric elbow fractures in X-ray images based on deep learning
Jian Li, Weiyi Hu, Hong Wu, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100893-100893
Open Access | Times Cited: 1
Novel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images
Jason Elroy Martis, M S Sannidhan, R. Balasubramani, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 799-799
Open Access | Times Cited: 1
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