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:

DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity
Omneya Attallah
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2034-2034
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
Omneya Attallah
Computers in Biology and Medicine (2022) Vol. 142, pp. 105210-105210
Open Access | Times Cited: 85

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: 41

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

A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods
Omneya Attallah, Muhammet Fatih Aslan, Kadir Sabancı
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2926-2926
Open Access | Times Cited: 51

An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques
Omneya Attallah
Biosensors (2022) Vol. 12, Iss. 5, pp. 299-299
Open Access | Times Cited: 45

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

CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection
Omneya Attallah, Rania A. Ibrahim, Nahla E. Zakzouk
Renewable Energy (2022) Vol. 203, pp. 870-880
Closed Access | Times Cited: 39

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

A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
Omneya Attallah
Digital Health (2022) Vol. 8, pp. 205520762210925-205520762210925
Open Access | Times Cited: 36

A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices
Omneya Attallah, Ahmed Samir
Applied Soft Computing (2022) Vol. 128, pp. 109401-109401
Open Access | Times Cited: 36

AI-Based Pipeline for Classifying Pediatric Medulloblastoma Using Histopathological and Textural Images
Omneya Attallah, Shaza B. Zaghlool
Life (2022) Vol. 12, Iss. 2, pp. 232-232
Open Access | Times Cited: 31

Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs
Omneya Attallah, Dina A. Ragab
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104273-104273
Closed Access | Times Cited: 29

A deep learning-based diagnostic tool for identifying various diseases via facial images
Omneya Attallah
Digital Health (2022) Vol. 8, pp. 205520762211244-205520762211244
Open Access | Times Cited: 24

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

Automated diagnosis of plus disease in retinopathy of prematurity based on transformer-based unsupervised curriculum learning
K. Deepthi, M. S. Josephine, Vicente Raja
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107521-107521
Closed Access

Advances in artificial intelligence applications for ocular surface diseases diagnosis
Yuke Ji, Sha Liu, Xiangqian Hong, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 18

Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms
Ashwin Ramanathan, Sam Athikarisamy, Geoffrey C. Lam
Eye (2022) Vol. 37, Iss. 12, pp. 2518-2526
Closed Access | Times Cited: 17

Latest Trends in Retinopathy of Prematurity: Research on Risk Factors, Diagnostic Methods and Therapies
Laura Bujoreanu Bezman, Carmen Tiutiucă, Geanina Totolici, et al.
International Journal of General Medicine (2023) Vol. Volume 16, pp. 937-949
Open Access | Times Cited: 10

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