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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:

Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 814-814
Open Access | Times Cited: 22

Showing 22 citing articles:

Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques
Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. Albarrak, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101940-101940
Open Access | Times Cited: 36
Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features
Ahlam Shamsan, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1706-1706
Open Access | Times Cited: 28
Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1026-1026
Open Access | Times Cited: 24
Automatic Analysis of MRI Images for Early Prediction of Alzheimer’s Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1654-1654
Open Access | Times Cited: 23
Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1429-1429
Open Access | Times Cited: 15
Tuberculosis Detection Comparison by Using Preprocessed and Non-preprocessed Chest X-Ray Images
Rubén Saúl Jiménez-Fernández, Axel Yahir Ramírez-Ángel, Álvaro D. Orjuela-Cañón
IFMBE proceedings (2025), pp. 53-64
Closed Access
An efficient multi-stage ensemble deep learning framework for diagnosing infectious diseases
Rohit Kumar Bondugula, Nitin Sai Bommi, Siba K. Udgata
Decision Analytics Journal (2024) Vol. 11, pp. 100458-100458
Open Access | Times Cited: 3
Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer
Mohammed Hamdi, Ebrahim Mohammed Senan, Bakri Awaji, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2538-2538
Open Access | Times Cited: 9
Explainable deep-neural-network supported scheme for tuberculosis detection from chest radiographs
B. Uma Maheswari, Dahlia Sam, Nitin Mittal, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
An efficient deep neural network model for tuberculosis detection using chest X-ray images
M. S. Balamurugan, R. Balamurugan
Neural Computing and Applications (2024) Vol. 36, Iss. 24, pp. 14775-14796
Closed Access | Times Cited: 2
Blood Slide Image Analysis to Classify WBC Types for Prediction Haematology Based on a Hybrid Model of CNN and Handcrafted Features
Fekry Olayah, Ebrahim Mohammed Senan, Ibrahim Abdulrab Ahmed, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1899-1899
Open Access | Times Cited: 6
Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas
Mohammed Hamdi, Ebrahim Mohammed Senan, Mukti E. Jadhav, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2258-2258
Open Access | Times Cited: 6
Comparative Analysis of Two Approaches Utilizing Different Classification Algorithms Combined with CNN for Pneumonia Prediction in Chest X-Rays
Akash Rattan, Ritanshu, Saumya Singh, et al.
(2024), pp. 475-479
Closed Access | Times Cited: 1
Deep Learning Based Tuberculosis and Pneumonia Disease Detection Using CNN
Basitur Rahman Bappi, S M Masfequier Rahman Swapno, Gunjan Chhabra, et al.
(2023), pp. 670-676
Closed Access | Times Cited: 2
Securing Tuberculosis Disease Detection with IoT-Driven Improved AlexNet and RSA Encryption
S. Kavitha, H S Nagamani, Sreekanth Rallapalli, et al.
(2024), pp. 1-7
Closed Access
A Comprehensive Study of AI and Robotics in a Rapidly Changing World
Prayash Gupta, Manasvi Puranik, Poorva Agrawal, et al.
(2024), pp. 1-6
Closed Access
Comparative Analysis of CNN, Xception and Inceptionv3 for Classifying Tuberculosis, Pneumonia Normal Chest X-ray Images
Lakshmi Narasimham Chennareddy, Madhavi Katamaneni, Raghu Varma Revalamadugu
(2024), pp. 194-204
Closed Access
Artificial neural network for pneumonia disease detection based on chest x-ray photograph
Shahad Ahmed Salih, Sadik Kamel Gharghan, Jinan F. Mahdi, et al.
AIP conference proceedings (2024) Vol. 3232, pp. 020011-020011
Closed Access
Role of artificial intelligence in early diagnosis and treatment of infectious diseases
Vartika Srivastava, Ravinder Kumar, Mohmmad Younus Wani, et al.
Infectious Diseases (2024), pp. 1-26
Closed Access
Transforming the Medical Landscape: Applications of Robotics and Artificial Intelligence in Combating Infectious Diseases
Swetha Saravanan
Global Biosecurity (2023) Vol. 5
Open Access | Times Cited: 1
User Friendly Web Based Deep Learning System for TB and Pneumonia Diagnosis in Developing Countries
Maymun Elmi Dirie, Hani Abdi Ali, Ahmed Abdulkadir Mohamed, et al.
(2023), pp. 1-6
Closed Access
Viral Pneumonia Detection from Chest X-rays using GLCM and LBP features
Param Shah, Deepa Sankar
(2023), pp. 1-6
Closed Access
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