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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 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

Showing 1-25 of 36 citing articles:

Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model
Mana Saleh Al Reshan, Kanwarpartap Singh Gill, Vatsala Anand, et al.
Healthcare (2023) Vol. 11, Iss. 11, pp. 1561-1561
Open Access | Times Cited: 102
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Sunday Adeola Ajagbe, Matthew O. Adigun
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 5893-5927
Open Access | Times Cited: 65
Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection
Omneya Attallah
Horticulturae (2023) Vol. 9, Iss. 2, pp. 149-149
Open Access | Times Cited: 58
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
Deep hybrid model for Mpox disease diagnosis from skin lesion images
Saif Ur Rehman Khan, Sohaib Asif, Omair Bilal, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 16
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: 50
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: 38
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
GabROP: Gabor Wavelets-Based CAD for Retinopathy of Prematurity Diagnosis via Convolutional Neural Networks
Omneya Attallah
Diagnostics (2023) Vol. 13, Iss. 2, pp. 171-171
Open Access | Times Cited: 27
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans
Hassaan Malik, Tayyaba Anees, Ahmad Naeem, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 203-203
Open Access | Times Cited: 24
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1954-1954
Open Access | Times Cited: 23
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Maha Sharkas, Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
MonDiaL-CAD: Monkeypox diagnosis via selected hybrid CNNs unified with feature selection and ensemble learning
Omneya Attallah
Digital Health (2023) Vol. 9
Open Access | Times Cited: 15
Multitask Deep Learning-Based Pipeline for Gas Leakage Detection via E-Nose and Thermal Imaging Multimodal Fusion
Omneya Attallah
Chemosensors (2023) Vol. 11, Iss. 7, pp. 364-364
Open Access | Times Cited: 15
Unlocking the Power of 3D Convolutional Neural Networks for COVID-19 Detection: A Comprehensive Review
Ademola E. Ilesanmi, Taiwo Ilesanmi, Babatunde O. Ajayi, et al.
Deleted Journal (2025)
Closed Access
Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection
Omneya Attallah
Technologies (2025) Vol. 13, Iss. 2, pp. 54-54
Open Access
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: 22
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: 4
COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
Sadiq Alinsaif
Computation (2024) Vol. 12, Iss. 4, pp. 66-66
Open Access | Times Cited: 3
A Novel COVID-19 Diagnostic System Using Biosensor Incorporated Artificial Intelligence Technique
Md. Mottahir Alam, Md. Moddassir Alam, Hidayath Mirza, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1886-1886
Open Access | Times Cited: 8
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
Bare-bones based honey badger algorithm of CNN for Sleep Apnea detection
Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6145-6165
Closed Access | Times Cited: 1
AlexNet for Image-Based COVID-19 Diagnosis
Min Tang, Yibin Peng, Shuihua Wang‎, et al.
Lecture notes in electrical engineering (2024), pp. 166-176
Closed Access | Times Cited: 1
Texture-Based Classification to Overcome Uncertainty between COVID-19 and Viral Pneumonia Using Machine Learning and Deep Learning Techniques
Omar Farghaly, Priya Deshpande
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1017-1017
Open Access | Times Cited: 1
McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices
Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109683-109683
Open Access | Times Cited: 8
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