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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:

U-Net Supported Segmentation of Ischemic-Stroke-Lesion from Brain MRI Slices
Seifedine Kadry, Robertas Damaševičius, David Taniar, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Sensors (2022) Vol. 22, Iss. 3, pp. 740-740
Open Access | Times Cited: 97
Effects of Image Size on Deep Learning
Olivier Rukundo
Electronics (2023) Vol. 12, Iss. 4, pp. 985-985
Open Access | Times Cited: 41
An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification
Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah
Lecture notes in computer science (2021), pp. 105-118
Closed Access | Times Cited: 67
Comparative Analysis of Eight Direction Sobel Edge Detection Algorithm for Brain Tumor MRI Images
A S Remya Ajai, Sundararaman Gopalan
Procedia Computer Science (2022) Vol. 201, pp. 487-494
Open Access | Times Cited: 32
DenseTrans: Multimodal Brain Tumor Segmentation Using Swin Transformer
Zongren Li, Wushouer Silamu, Yuzhen Wang, et al.
IEEE Access (2023) Vol. 11, pp. 42895-42908
Open Access | Times Cited: 21
Brain Stroke Lesion Segmentation Using Computed Tomography Images based on Modified U-Net Model with ResNet Blocks
Azhar Tursynova, Батырхан Омаров, Айвар Сахипов, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 13, pp. 97-112
Open Access | Times Cited: 23
Applications of deep learning algorithms in ischemic stroke detection, segmentation, and classification
Tanzeela Kousar, Mohd Shafry Mohd Rahim, Sajid Iqbal, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Interpreting CNN for Brain Tumor Classification Using XGrad-Cam
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Communications in computer and information science (2025), pp. 282-296
Closed Access
Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet
Sujatha Krishnamoorthy, Yaxi Zhang, Seifedine Kadry, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 18
BiAttnNet: Bilateral Attention for Improving Real-Time Semantic Segmentation
Genling Li, Liang Li, Jiawan Zhang
IEEE Signal Processing Letters (2021) Vol. 29, pp. 46-50
Closed Access | Times Cited: 21
A Novel Deep Learning Approach for Brain Tumors Classification Using MRI Images
Myriam Hadjouni, Hela Elmannai, Aymen Saad, et al.
Traitement du signal (2023) Vol. 40, Iss. 3, pp. 1137-1144
Open Access | Times Cited: 8
Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features
Seifedine Kadry, Gautam Srivastava, V. Rajinikanth, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 12
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke
Umberto Gava, Federico D’Agata, Enzo Tartaglione, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 5
An Efficient Hybrid Classifier for MRI Brain Images Classification Using Machine Learning Based Naive Bayes Algorithm
Madhu M. Nayak, Sumithra Devi Kengeri Anjanappa
SN Computer Science (2023) Vol. 4, Iss. 3
Closed Access | Times Cited: 5
Dual U-Net-Based Conditional Generative Adversarial Network for Blood Vessel Segmentation with Reduced Cerebral MR Training Volumes
Oliver J. Quintana-Quintana, Alejandro De León-Cuevas, Arturo González-Gutiérrez, et al.
Micromachines (2022) Vol. 13, Iss. 6, pp. 823-823
Open Access | Times Cited: 8
Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm
Abdelaziz Daoudi, Saïd Mahmoudi
Computers (2024) Vol. 13, Iss. 5, pp. 124-124
Open Access | Times Cited: 1
Transformers-based architectures for stroke segmentation: a review
Yalda Zafari-Ghadim, Essam A. Rashed, Amr Mohamed, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
Information (2021) Vol. 12, Iss. 12, pp. 528-528
Open Access | Times Cited: 11
Deep-Learning based Automated Detection of Pneumonia in Chest Radiographs
S. Arunmozhi, V. Rajinikanth, M. P. Rajakumar
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2021), pp. 1-4
Closed Access | Times Cited: 10
Tooth CT Image Segmentation Method Based on the U-Net Network and Attention Module
Sha Tao, Zhenfeng Wang
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 6
A BrainNet (BrN) based New Approach to Classify Brain Stroke from CT Scan Images
Dhonita Tripura, Imdadul Haque, Mithun Dutta, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Res-UNet Supported Segmentation and Evaluation of COVID19 Lesion in Lung CT
Suresh Manic Kesavan, Imad Al Naimi, Feras Al Attar, et al.
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2021), pp. 1-4
Closed Access | Times Cited: 6
FECC-Net: A Novel Feature Enhancement and Context Capture Network Based on Brain MRI Images for Lesion Segmentation
Zhaohong Huang, Xiangchen Zhang, Yehua Song, et al.
Brain Sciences (2022) Vol. 12, Iss. 6, pp. 765-765
Open Access | Times Cited: 3
A stroke prediction framework using explainable ensemble learning
Mostarina Mitu, S. M. Mahedy Hasan, Md Palash Uddin, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-20
Closed Access
Detection of Tuberculosis in Chect X-Ray using Cancatinated Deep and Handcrafted Features
S. Arunmozhi, Aditya Kamath, V. Rajinikanth
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2021), pp. 1-4
Closed Access | Times Cited: 3
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