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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 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

Showing 1-25 of 44 citing articles:

Deep neural network correlation learning mechanism for CT brain tumor detection
Marcin Woźniak, Jakub Siłka, Michał Wieczorek
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14611-14626
Open Access | Times Cited: 184
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 hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region
Md. Maruf Hossain, Md. Mahfuz Ahmed, Abdullah Al Nomaan Nafi, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109711-109711
Closed Access | Times Cited: 1
Shape Reconstruction With Multiphase Conductivity for Electrical Impedance Tomography Using Improved Convolutional Neural Network Method
Yang Wu, Bai Chen, Kai Liu, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 9277-9287
Closed Access | Times Cited: 60
Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Taha H. Rassem, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 1, pp. 775-796
Open Access | Times Cited: 38
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
A Review on Computer Aided Diagnosis of Acute Brain Stroke
Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8507-8507
Open Access | Times Cited: 40
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
Modified UNet Model for Brain Stroke Lesion Segmentation on Computed Tomography Images
Батырхан Омаров, Azhar Tursynova, Octavian Postolache, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 71, Iss. 3, pp. 4701-4717
Open Access | Times Cited: 30
EfficientNetB0 for Brain Stroke Classification on Computed Tomography Scan
Charmy H Patel, Devang Undaviya, Harsh Dave, et al.
(2023)
Closed Access | Times Cited: 20
Generative Intelligence‐Based Federated Learning Model for Brain Tumor Classification in Smart Health
Niladri Maiti, Riddhi Chawla, Aadam Quraishi, et al.
(2025), pp. 435-453
Closed Access
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
Brain tumor detection and tracking using fast R-CNN based feature extraction method
Thekkethil Bino, S. Ramya, K. Ramar, et al.
AIP conference proceedings (2025) Vol. 3266, pp. 020017-020017
Closed Access
Enhancing accuracy in brain stroke detection: Multi-layer perceptron with Adadelta, RMSProp and AdaMax optimizers
Mudita Uppal, Deepali Gupta, Sapna Juneja, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 12
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
Hatem F. Sindi, Majid Nour, Muhyaddin Rawa, et al.
Expert Systems with Applications (2021) Vol. 178, pp. 115023-115023
Closed Access | Times Cited: 21
Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography
Yanyan Shi, Yajun Lou, Meng Wang, et al.
IEEE Transactions on Computational Imaging (2024) Vol. 10, pp. 143-153
Closed Access | Times Cited: 2
A Hybrid Deep Learning based Classification of Brain Lesion Classification in CT Image using Convolutional Neural Networks
R. Priya, K. Lakshmi Narayanan, B. Vijaya Nirmala, et al.
(2023), pp. 1426-1431
Closed Access | Times Cited: 5
Biomathematical Modeling in Clinical Intelligent Diagnosis and Treatment
Bin Z
Deleted Journal (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Development of a novel deep convolutional neural network model for early detection of brain stroke using ct scan images
Muhammad Ayub Sabir, Fatima Ashraf
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Detection of Brain Stroke Using Machine Learning Algorithm
E. Sujatha, Donna Monica
(2024), pp. 370-375
Closed Access | Times Cited: 1
Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department
Hung-Wei Chang Chien, Tsung‐Lung Yang, Wang‐Chuan Juang, et al.
Journal of Medical Systems (2022) Vol. 46, Iss. 7
Closed Access | Times Cited: 7
Medical Internet of Things to Realize Elderly Stroke Prevention and Nursing Management
Xin Li, Sufen Ren, Fangqiu Gu
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 9
Early Detection of Hemorrhagic Stroke Using a Lightweight Deep Learning Neural Network Model
Bandi Vamsi, Debnath Bhattacharyya, Divya Midhunchakkravarthy, et al.
Traitement du signal (2021) Vol. 38, Iss. 6, pp. 1727-1736
Open Access | Times Cited: 9
Artificial intelligence in cerebral stroke images classification and segmentation: A comprehensive study
Gourav Kumar Sharma, Santosh Kumar, Virender Ranga, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 43539-43575
Closed Access | Times Cited: 3
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