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:

RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
Omneya Attallah
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 233, pp. 104750-104750
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Cervical Cancer Diagnosis Based on Multi-Domain Features Using Deep Learning Enhanced by Handcrafted Descriptors
Omneya Attallah
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1916-1916
Open Access | Times Cited: 40

CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning
Omneya Attallah
Expert Systems with Applications (2023) Vol. 229, pp. 120624-120624
Closed Access | Times Cited: 40

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning
Omneya Attallah
Computers in Biology and Medicine (2024) Vol. 178, pp. 108798-108798
Closed Access | Times Cited: 18

Comprehensive Study of Compression and Texture Integration for Digital Imaging and Communications in Medicine Data Analysis
Amit Kumar Shakya, Anurag Vidyarthi
Technologies (2024) Vol. 12, Iss. 2, pp. 17-17
Open Access | Times Cited: 14

Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features
Omneya Attallah
Image and Vision Computing (2024) Vol. 147, pp. 105064-105064
Closed Access | Times Cited: 5

Beyond Spatial: A Wavelet Fusion-Based Deep Learning CAD for Skin Cancer Diagnosis
Omneya Attallah
Communications in computer and information science (2025), pp. 40-53
Closed Access

Exploring Deep Learning-Based Multi-modality Fusion Approaches in Classification of Lung Diseases: A Review
Gautami Shingan, Priya Ranjan
Learning and analytics in intelligent systems (2025), pp. 91-100
Closed Access

Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography
Kuo-Hsuan Lin, Nan‐Han Lu, Takahide Okamoto, et al.
Healthcare (2023) Vol. 11, Iss. 10, pp. 1367-1367
Open Access | Times Cited: 6

COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network
Andronicus A. Akinyelu, Bubacarr Bah
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1484-1484
Open Access | Times Cited: 4

SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images
Toto Haryanto, Heru Suhartanto, Aniati Murni, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 175-175
Open Access | Times Cited: 1

A combination between transfer learning models and UNet++ for COVID-19 diagnosis
Hai Thanh Nguyen, D. T. Nguyen, Thien Thanh Tran, et al.
Multimedia Tools and Applications (2024)
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

COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images
Yanfu Wu, Qun Dai, Han Lu
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 236, pp. 104799-104799
Open Access | Times Cited: 3

Local Binary Pattern and RVFL for Covid-19 Diagnosis
Mengke Wang
(2024), pp. 325-343
Closed Access

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