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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:

Internet of Medical Things—Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans
Tao Han, Virgínia Xavier Nunes, Luís Fabrício de Freitas Souza, et al.
IEEE Access (2020) Vol. 8, pp. 71117-71135
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

The internet of medical things and artificial intelligence: trends, challenges, and opportunities
Kourosh Kakhi, Roohallah Alizadehsani, H M Dipu Kabir, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 749-771
Closed Access | Times Cited: 88
LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 680-680
Open Access | Times Cited: 79
Internet of medical things: A systematic review
Chenxi Huang, Jian Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 557, pp. 126719-126719
Open Access | Times Cited: 47
A novel transfer learning approach for the classification of histological images of colorectal cancer
Elene Firmeza Ohata, João Victor Souza das Chagas, Gabriel M. Bezerra, et al.
The Journal of Supercomputing (2021) Vol. 77, Iss. 9, pp. 9494-9519
Closed Access | Times Cited: 59
High-dimensional role of AI and machine learning in cancer research
Enrico Capobianco
British Journal of Cancer (2022) Vol. 126, Iss. 4, pp. 523-532
Open Access | Times Cited: 39
A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer
Reyazur Rashid Irshad, Shahid Hussain, Shahab Saquib Sohail, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2932-2932
Open Access | Times Cited: 28
Deep Learning-Enabled Brain Stroke Classification on Computed Tomography營mages
Azhar Tursynova, Батырхан Омаров, N. I. Tukenova, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 1431-1446
Open Access | Times Cited: 25
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
Domain- and task-specific transfer learning for medical segmentation tasks
Riaan Zoetmulder, Efstratios Gavves, Matthan W.A. Caan, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 214, pp. 106539-106539
Open Access | Times Cited: 41
A Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet
Öznur Özaltın, Orhan Coskun, Özgür Yeniay, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 783-783
Open Access | Times Cited: 33
Multi-Layered Non-Local Bayes Model for Lung Cancer Early Diagnosis Prediction with the Internet of Medical Things
Yossra H. Ali, C. Seelammal, Raja Marappan, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 138-138
Open Access | Times Cited: 16
Health of Things Melanoma Detection System—detection and segmentation of melanoma in dermoscopic images applied to edge computing using deep learning and fine-tuning models
José Jerovane da Costa Nascimento, Adriell Gomes Marques, Yasmim Osório Adelino Rodrigues, et al.
Frontiers in Communications and Networks (2024) Vol. 5
Open Access | Times Cited: 5
Deep Learning-Enhanced Internet of Medical Things to Analyze Brain CT Scans of Hemorrhagic Stroke Patients: A New Approach
Yongzhao Xu, Gabriel B. Holanda, Luís Fabrício de Freitas Souza, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 22, pp. 24941-24951
Closed Access | Times Cited: 44
Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
Francisco Silva, Tânia Pereira, Inês Neves, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 3, pp. 480-480
Open Access | Times Cited: 27
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 23
Computational techniques for the automated detection of mycobacterium tuberculosis from digitized sputum smear microscopic images: A systematic review
Evans Kotei, Ramkumar Thirunavukarasu
Progress in Biophysics and Molecular Biology (2022) Vol. 171, pp. 4-16
Closed Access | Times Cited: 22
Medical Image Classifications for 6G IoT-Enabled Smart Health Systems
Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 834-834
Open Access | Times Cited: 15
Hybrid deep learning based stroke detection using CT images with routing in an IoT environment
Anchana Balakrishnannair Sreekumari, Arul Teen Yesudasan Paulsy
Network Computation in Neural Systems (2025), pp. 1-40
Closed Access
Automatic detect lung node with deep learning in segmentation and imbalance data labeling
Ting-Wei Chiu, Yu‐Lin Tsai, Shun‐Feng Su
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images
Yongzhao Xu, Luís Fabrício F. Souza, Iágson Carlos Lima Silva, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107810-107810
Closed Access | Times Cited: 20
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation
Luís Fabrício de Freitas Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6711-6711
Open Access | Times Cited: 21
Stroke detection in the brain using MRI and deep learning models
Subba Rao Polamurı
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108518-108518
Open Access | Times Cited: 2
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 10, pp. 3744-3751
Open Access | Times Cited: 17
An integrated approach for breast cancer classification
Ankita Pandey, Arun Kumar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 21, pp. 33357-33377
Closed Access | Times Cited: 5
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