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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:

An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
Ahmed Iqbal, Muhammad Usman, Zohair Ahmed
Tuberculosis (2022) Vol. 136, pp. 102234-102234
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Ahmed Iqbal, Muhammad Sharif
Knowledge-Based Systems (2023) Vol. 267, pp. 110393-110393
Closed Access | Times Cited: 56
A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography
Adnane Ait Nasser, Moulay A. Akhloufi
Diagnostics (2023) Vol. 13, Iss. 1, pp. 159-159
Open Access | Times Cited: 46
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
Linh T. Duong, Phuong T. Nguyen, Ludovico Iovino, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109851-109851
Open Access | Times Cited: 44
PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network
Ahmed Iqbal, Muhammad Sharif
Expert Systems with Applications (2023) Vol. 221, pp. 119718-119718
Closed Access | Times Cited: 36
Joint Diagnosis of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images: A Deep Learning Approach
Mohammed Salih Ahmed, Atta Rahman, Faris AlGhamdi, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2562-2562
Open Access | Times Cited: 30
Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach
Ahmed Iqbal, Muhammad Usman, Zohair Ahmed
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104667-104667
Closed Access | Times Cited: 28
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
A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images
Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, et al.
IEEE Access (2023) Vol. 11, pp. 39243-39268
Open Access | Times Cited: 18
ResfEANet: ResNet-fused External Attention Network for Tuberculosis Diagnosis using Chest X-ray Images
Chukwuebuka Joseph Ejiyi, Zhen Qin, Ann O. Nnani, et al.
Computer Methods and Programs in Biomedicine Update (2023) Vol. 5, pp. 100133-100133
Open Access | Times Cited: 18
Advancing Tuberculosis Screening: A Tailored CNN Approach for Accurate Chest X-Ray Analysis and Practical Clinical Integration
K. K. Mujeeb Rahman, Sedra Zulaikha, Banan Dhafer, et al.
Intelligence-Based Medicine (2025), pp. 100196-100196
Open Access
ResGloTBNet: an interpretable deep residual network with global long-range dependency for tuberculosis screening of sputum smear microscopy images
Taocui Yan, Yi Jin, Shangqing Liu, et al.
Medical Engineering & Physics (2025) Vol. 137, pp. 104300-104300
Closed Access
Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based System
Chutinun Prasitpuriprecha, Sirima Suvarnakuta Jantama, Thanawadee Preeprem, et al.
Pharmaceuticals (2022) Vol. 16, Iss. 1, pp. 13-13
Open Access | Times Cited: 23
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network
Sohaib Asif, Q Ul Ain, Raeed Al-Sabri, et al.
Journal of Computational Science (2024) Vol. 80, pp. 102324-102324
Closed Access | Times Cited: 3
Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification
Kanchana Sethanan, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 8
A deep learning‐based x‐ray imaging diagnosis system for classification of tuberculosis, COVID‐19, and pneumonia traits using evolutionary algorithm
Zeeshan Ali, Muhammad Attique Khan, Ameer Hamza, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 8
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
A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed 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
YOLOv8's advancements in tuberculosis identification from chest images
Mohamudha Parveen Rahamathulla, W. R. Sam Emmanuel, A. Bindhu, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 2
Interpretable Deep Learning Model for Tuberculosis Detection Using X-Ray Images
Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, et al.
(2024), pp. 169-192
Closed Access | Times Cited: 2
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Hassaan Malik, Tayyaba Anees, Ahmad Sami Al-Shamayleh, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2772-2772
Open Access | Times Cited: 6
Optimized support vector regression predicting treatment duration among tuberculosis patients in Malaysia
Vimala Balakrishnan, Ghayathri Ramanathan, Siyi Zhou, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 4, pp. 11831-11844
Closed Access | Times Cited: 5
Visual attention condenser model for multiple disease detection from heterogeneous medical image modalities
Evans Kotei, Ramkumar Thirunavukarasu
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 30563-30585
Closed Access | Times Cited: 5
Early detection of tuberculosis using hybrid feature descriptors and deep learning network
Garima Verma, Ajay Kumar, Sushil Kumar Dixit
Polish Journal of Radiology (2023) Vol. 88, pp. 445-454
Open Access | Times Cited: 5
A novel NASNet model with LIME explanability for lung disease classification
T. Venkata Krishnamoorthy, C. Venkataiah, Y. Mallikarjuna Rao, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106114-106114
Closed Access | Times Cited: 1
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