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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:

High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI
Liang Sun, Wei Shao, Mingliang Wang, et al.
IEEE Transactions on Image Processing (2019) Vol. 29, pp. 2702-2713
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images
Abolfazl Zargari Khuzani, Morteza Heidari, S. Ali Shariati
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 181
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 168
Convolutional Neural Network in Medical Image Analysis: A Review
Sapna Singh Kshatri, Deepak Singh
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2793-2810
Closed Access | Times Cited: 60
Brain MRI analysis using a deep learning based evolutionary approach
Hossein Shahamat, Mohammad Saniee Abadeh
Neural Networks (2020) Vol. 126, pp. 218-234
Closed Access | Times Cited: 92
Information fusion and artificial intelligence for smart healthcare: a bibliometric study
Xieling Chen, Haoran Xie, Zongxi Li, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103113-103113
Open Access | Times Cited: 61
MVSI-Net: Multi-view attention and multi-scale feature interaction for brain tumor segmentation
Junding Sun, Ming Xi Hu, Xiaosheng Wu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106484-106484
Open Access | Times Cited: 8
Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning
Stefan Raith, Tobias Pankert, Jacinto C. Nascimento, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation
Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315538-e0315538
Open Access | Times Cited: 1
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images
Liang Sun, Wei Shao, Daoqiang Zhang, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 6, pp. 2000-2012
Closed Access | Times Cited: 59
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images
Abolfazl Zargari Khuzani, Morteza Heidari, Ali Shariati
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 50
Automated Brain Tumor Segmentation for MR Brain Images Using Artificial Bee Colony Combined With Interval Type-II Fuzzy Technique
Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Senthilkumar
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11150-11159
Closed Access | Times Cited: 16
(DA-U)2Net: double attention U2Net for retinal vessel segmentation
Byoung Sun Chu, Jinsong Zhao, W. Jim Zheng, et al.
BMC Ophthalmology (2025) Vol. 25, Iss. 1
Open Access
Fuzzy-Based Optimization Techniques for Segmenting the Tumors in Multimodal MRI Images
Saravanan Alagarsamy, D. Nagarajan, Govindaraj Vellingiri
Operations Research Forum (2025) Vol. 6, Iss. 1
Closed Access
Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach
Saravanan Alagarsamy, Yudong Zhang, Vishnuvarthanan Govindaraj, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 10, pp. 3165-3177
Closed Access | Times Cited: 34
Using a Patch-Wise M-Net Convolutional Neural Network for Tissue Segmentation in Brain MRI Images
Nagaraj Yamanakkanavar, Bumshik Lee
IEEE Access (2020) Vol. 8, pp. 120946-120958
Open Access | Times Cited: 28
A Novel Active Contour Model for Noisy Image Segmentation Based on Adaptive Fractional Order Differentiation
Mengmeng Li, Bing‐Zhao Li
IEEE Transactions on Image Processing (2020) Vol. 29, pp. 9520-9531
Closed Access | Times Cited: 28
A Fully Automatic Procedure for Brain Tumor Segmentation from Multi-Spectral MRI Records Using Ensemble Learning and Atlas-Based Data Enhancement
Ágnes Györfi, László Szilágyi, Levente Kovács
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 564-564
Open Access | Times Cited: 26
An Implementation of K-Means Clustering for Efficient Image Segmentation
K. Venkatachalam, V. Purandhar Reddy, M. Amudhan, et al.
(2021), pp. 224-229
Closed Access | Times Cited: 20
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation
Jintao Huang, Chi‐Man Vong, C. L. Philip Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 10240-10253
Closed Access | Times Cited: 15
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling
Jie Wei, Zhengwang Wu, Li Wang, et al.
Pattern Recognition (2021) Vol. 124, pp. 108420-108420
Closed Access | Times Cited: 19
Intelligent Multi-Grade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework
Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 11, pp. 5381-5391
Closed Access | Times Cited: 2
A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning
Behnam Kazemivash, Vince D. Calhoun
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109478-109478
Open Access | Times Cited: 11
A Review of AI techniques using MRI Brain Images for Alzheimer's disease detection
Esraa H. Ali, Sawsan Sadek, Zaid F. Makki
(2023), pp. 76-82
Closed Access | Times Cited: 5
Segmentation Technology of Nucleus Image Based on U-Net Network
Jie Fang, Qingbiao Zhou, Shuxia Wang
Scientific Programming (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 12
Unsupervised Machine Learning to Identify Separable Clinical Alzheimer’s Disease Sub-Populations
Jayant Prakash, Velda Wang, Robert E. Quinn, et al.
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 977-977
Open Access | Times Cited: 11
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