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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:

Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
Liton Devnath, Suhuai Luo, Peter Summons, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 18, pp. 5342-5342
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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: 66
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İni̇k
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 30
MRI-Based Effective Ensemble Frameworks for Predicting Human Brain Tumor
Farhana Khan, Shahnawaz Ayoub, Yonis Gulzar, et al.
Journal of Imaging (2023) Vol. 9, Iss. 8, pp. 163-163
Open Access | Times Cited: 26
Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches
Ramzi Guetari, H. Ayari, Houneida Sakly
Knowledge and Information Systems (2023) Vol. 65, Iss. 10, pp. 3881-3921
Open Access | Times Cited: 16
Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers’ pneumoconiosis
Hantian Dong, Biaokai Zhu, Xiaomei Kong, et al.
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access
Automatic oral cancer detection using deep learning techniques
T. Sundari, M. Maheswari
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107731-107731
Closed Access
Stacking Ensemble and ECA-EfficientNetV2 Convolutional Neural Networks on Classification of Multiple Chest Diseases Including COVID-19
Mei‐Ling Huang, Yu-Chieh Liao
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1915-1935
Open Access | Times Cited: 27
Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses
Norio Nakata, Tsuyoshi Siina
Bioengineering (2023) Vol. 10, Iss. 1, pp. 69-69
Open Access | Times Cited: 15
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Samira Sajed, Amir Sanati, Jorge Esparteiro Garcia, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110817-110817
Closed Access | Times Cited: 12
Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction
Luana Conte, Emanuele Rizzo, Tiziana Grassi, et al.
Computation (2024) Vol. 12, Iss. 3, pp. 47-47
Open Access | Times Cited: 4
Research progress on the pathogenesis and prediction of pneumoconiosis among coal miners
Wenlu Hang, Chunlu Bu, Yuming Cui, et al.
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 9
Closed Access | Times Cited: 4
Optimizing Deep Learning Models for Climate-Related Natural Disaster Detection from UAV Images and Remote Sensing Data
Kim VanExel, Samendra P. Sherchan, Siyan Liu
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 32-32
Open Access
Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint
Edmund Fosu Agyemang, Joseph Agyapong Mensah, Eric Nyarko, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
EC-HDLNet: Extended coati-based hybrid deep dilated convolutional learning network for brain tumor classification
Madona B Sahaai, K Karthika, Aaron Kevin Cameron Theoderaj
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107865-107865
Closed Access
Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data
Mohammad Amin Shamshiri, Adam Krzyżak, Marek Kowal, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106575-106575
Closed Access | Times Cited: 11
Early Detection of Alzheimer’s Disease Based on Laplacian Re-Decomposition and XGBoosting
Hala Ahmed, H.M. Soliman, Shaker El–Sappagh, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 2773-2795
Open Access | Times Cited: 10
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images
Md. Shariful Alam, Dadong Wang, Arcot Sowmya
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102917-102917
Open Access | Times Cited: 3
Segmentation and detection of skin cancer using deep learning-enabled artificial Namib beetle optimization
N. Raghava Rao, D. Vasumathi
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106605-106605
Closed Access | Times Cited: 2
Deep convolutional network-based chest radiographs screening model for pneumoconiosis
Li Xiao, Ming Xu, Ziye Yan, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
[A survey on the application of convolutional neural networks in the diagnosis of occupational pneumoconiosis].
Yu Wang, Jiang Wu, Dongsheng Wu
PubMed (2024) Vol. 41, Iss. 2, pp. 413-420
Closed Access | Times Cited: 1
DLA-Net: dual lesion attention network for classification of pneumoconiosis using chest X-ray images
Md. Shariful Alam, Dadong Wang, Arcot Sowmya
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Potential of digital chest radiography-based deep learning in screening and diagnosing pneumoconiosis: An observational study
Y S Zhang, Bowen Zheng, Fengxia Zeng, et al.
Medicine (2024) Vol. 103, Iss. 25, pp. e38478-e38478
Open Access | Times Cited: 1
Deep learning pneumoconiosis staging and diagnosis system based on multi-stage joint approach
Chang Liu, Yeqi Fang, YuHuan Xie, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Reinforcing Artificial Neural Networks through Traditional Machine Learning Algorithms for Robust Classification of Cancer
Muhammad Waseem, Malik Sajjad Ahmed Nadeem, Ihtiram Raza Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 4293-4315
Open Access | Times Cited: 4
A grading method for Kayser Fleischer ring images based on ResNet
Wei Song, Ling Xin, Jie‐Mei Wang
Heliyon (2023) Vol. 9, Iss. 5, pp. e16149-e16149
Open Access | Times Cited: 3
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