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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.

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Showing 1-25 of 59 citing articles:

Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 52
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 21
Computer aided diagnosis using Harris Hawks optimizer with deep learning for pneumonia detection on chest X-ray images
V. Parthasarathy, S. Saravanan
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1677-1683
Closed Access | Times Cited: 15
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Arslan Akram, Javed Rashid, M. Arfan Jaffar, et al.
Skin Research and Technology (2023) Vol. 29, Iss. 11
Open Access | Times Cited: 26
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 9
ResDAC-Net: a novel pancreas segmentation model utilizing residual double asymmetric spatial kernels
Zhanlin Ji, Jianuo Liu, Juncheng Mu, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2087-2100
Open Access | Times Cited: 6
Fusion of transformer attention and CNN features for skin cancer detection
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2024) Vol. 164, pp. 112013-112013
Closed Access | Times Cited: 5
Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID‐19
Santiago Tello-Mijares, Francisco Gerardo Flores García, Luisa Woo
International Journal of Telemedicine and Applications (2025) Vol. 2025, Iss. 1
Open Access
Medical Imaging-based Artificial Intelligence in Pneumonia: A Narrative Review
Yanping Yang, Wenyu Xing, Yiwen Liu, et al.
Neurocomputing (2025), pp. 129731-129731
Closed Access
JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data
Yuanting Ma, Yu Meng, Xiaojun Li, et al.
Applied Soft Computing (2025), pp. 112878-112878
Closed Access
Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges
Helena Liz, Áurea Anguera de Sojo-Hernández, Sergio D’Antonio Maceiras, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Open Access
A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection
Muhammad Abdullah Shah Bukhari, Faisal Bukhari, Muhammad Asif, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2686-e2686
Open Access
Ensemble Federated Learning: An approach for collaborative pneumonia diagnosis
Alhassan Mabrouk, Rebeca P. Dı́az Redondo, Mohamed Abd Elaziz, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110500-110500
Open Access | Times Cited: 12
A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022
K. C. Santosh, Debasmita GhoshRoy, Suprim Nakarmi
Healthcare (2023) Vol. 11, Iss. 17, pp. 2388-2388
Open Access | Times Cited: 12
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals
Gaffari Çelik
Computers in Biology and Medicine (2023) Vol. 163, pp. 107153-107153
Open Access | Times Cited: 11
Deep Learning and Federated Learning for Screening COVID-19: A Review
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder, et al.
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 691-713
Open Access | Times Cited: 11
Hospitalized COVID‐19 patients with diabetes have an increased risk for pneumonia, intensive care unit requirement, intubation, and death: A cross‐sectional cohort study in Mexico in 2020
Alexander A. Huang, Samuel Y. Huang
Health Science Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 10
Chaotic Sea Horse Optimization with Deep Learning Model for lung disease pneumonia detection and classification on chest X-ray images
V. Parthasarathy, S. Saravanan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69825-69847
Closed Access | Times Cited: 3
CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays
Muhammad Hamza Mehmood, Farman Hassan, Auliya Ur Rahman, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 3
COVID-19 detection from Chest X-ray images using a novel lightweight hybrid CNN architecture
Pooja Pradeep Dalvi, Damodar Reddy Edla, B. Purushothama, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images
K. Balasamy, V. Seethalakshmi
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106951-106951
Closed Access | Times Cited: 3
COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images
Victor Ikechukwu Agughasi, S. Murali, B. Honnaraju
(2023), pp. 1-7
Closed Access | Times Cited: 8
Enhancing Automated COVID Diagnosis from Chest X-rays using Convolutional Neural Networks and Transfer Learning
Muhammad Abdullah Shah Bukhari, Muhammad Ahmad Siddiqui, Sarmad Khalique, et al.
(2024), pp. 1-9
Closed Access | Times Cited: 2
Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques
Victor Ikechukwu Agughasi
INTELIGENCIA ARTIFICIAL (2024) Vol. 27, Iss. 74, pp. 133-151
Open Access | Times Cited: 2
Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Yufei Li, Yufei Xin, Xinni Li, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
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