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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:

Automated 3D segmentation of brain tumor using visual saliency
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Information Sciences (2017) Vol. 424, pp. 337-353
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Brain tumor detection and classification using machine learning: a comprehensive survey
Javeria Amin, Muhammad Sharif, Anandakumar Haldorai, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3161-3183
Open Access | Times Cited: 262
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Amjad Rehman, Muhammad Attique Khan, Tanzila Saba, et al.
Microscopy Research and Technique (2020) Vol. 84, Iss. 1, pp. 133-149
Closed Access | Times Cited: 243
Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach
P. M. Siva Raja, Antony Viswasa rani
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 1, pp. 440-453
Closed Access | Times Cited: 212
Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions
Javeria Amin, Muhammad Irfan Sharif, Mussarat Yasmin, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 15-16, pp. 10955-10973
Closed Access | Times Cited: 55
Deep learning neural networks for medical image segmentation of brain tumours for diagnosis: a recent review and taxonomy
Sindhu Devunooru, Abeer Alsadoon, P. W. C. Chandana, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 1, pp. 455-483
Closed Access | Times Cited: 49
DWARF: Disease-Weighted Network for Attention Map Refinement
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, et al.
Lecture notes in computer science (2025), pp. 59-68
Closed Access
Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping
Erfan Zarenia, A. Far, Khosro Rezaee
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Comprehensive Review on MRI-Based Brain Tumor Segmentation: A Comparative Study from 2017 Onwards
Amit Verma, Shiv Naresh Shivhare, Shailendra Pratap Singh, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Lecture notes in computer science (2019), pp. 94-104
Closed Access | Times Cited: 38
Automated Brain Tumor Segmentation Based on Multi-Planar Superpixel Level Features Extracted From 3D MR Images
Tamjid Imtiaz, Shahriar Rifat, Shaikh Anowarul Fattah, et al.
IEEE Access (2019) Vol. 8, pp. 25335-25349
Open Access | Times Cited: 38
Improving the Prediction Accuracy of MRI Brain Tumor Detection and Segmentation
S. Padmapriya, T. Chandrakumar, T. Kalaiselvi
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 499-509
Open Access | Times Cited: 3
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 34
Brain tumor segmentation with Vander Lugt correlator based active contour
Abdelaziz Essadike, Elhoussaine Ouabida, Abdenbi Bouzid
Computer Methods and Programs in Biomedicine (2018) Vol. 160, pp. 103-117
Closed Access | Times Cited: 33
Brain tumor classification using deep convolutional autoencoder-based neural network: multi-task approach
Fatemh Bashir-Gonbadi, Hassan Khotanlou
Multimedia Tools and Applications (2021) Vol. 80, Iss. 13, pp. 19909-19929
Closed Access | Times Cited: 24
Novel Volumetric Sub-region Segmentation in Brain Tumors
Subhashis Banerjee, Sushmita Mitra
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 24
Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation
Cam-Hao Hua, Thien Huynh‐The, Sung‐Ho Bae, et al.
Information Sciences (2020) Vol. 539, pp. 277-294
Closed Access | Times Cited: 24
Glioma Classification Using Deep Radiomics
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 24
A Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques
Chalapathiraju Kanumuri, Ch. Renu Madhavi
(2022), pp. 125-138
Closed Access | Times Cited: 14
A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
Novsheena Rasool, Javaid Iqbal Bhat
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review
Emilia Gryska, Justin F. Schneiderman, Isabella M. Björkman‐Burtscher, et al.
BMJ Open (2021) Vol. 11, Iss. 1, pp. e042660-e042660
Open Access | Times Cited: 19
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading
Jianxun Lou, Hanhe Lin, Philippa Young, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 256-269
Open Access | Times Cited: 6
An interpretable feature-learned model for overall survival classification of High-Grade Gliomas
Radhika Malhotra, Barjinder Singh Saini, Savita Gupta
Physica Medica (2023) Vol. 110, pp. 102591-102591
Open Access | Times Cited: 6
Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model
Kun Zhang, Hongbin Zhang, Huiyu Zhou, et al.
Computational Intelligence and Neuroscience (2019) Vol. 2019, pp. 1-14
Open Access | Times Cited: 16
A Novel Distributed Matching Global and Local Fuzzy Clustering (DMGLFC) for 3D Brain Image Segmentation for Tumor Detection
M. G. Sumithra, S. Malathi
IETE Journal of Research (2022) Vol. 68, Iss. 4, pp. 2363-2375
Closed Access | Times Cited: 9
Classification of Brain Tumor Images Using CNN
Manali Gupta, Sanjeev Sharma, G. C. Sampada
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 4
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