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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:

Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures
Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 1, pp. 899-919
Open Access | Times Cited: 13

Showing 13 citing articles:

Artificial intelligence in multiparametric magnetic resonance imaging: A review
Cheng Li, Wen Li, Chenyang Liu, et al.
Medical Physics (2022) Vol. 49, Iss. 10
Closed Access | Times Cited: 32
A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain
Javeria Amin, Muhammad Almas Anjum, Nadia Gul, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 17315-17328
Closed Access | Times Cited: 28
Human brain tumor classification and segmentation using CNN
Sunil Kumar, Dilip Kumar
Multimedia Tools and Applications (2022) Vol. 82, Iss. 5, pp. 7599-7620
Closed Access | Times Cited: 28
Performance of deep learning algorithms to distinguish high-grade glioma from low-grade glioma: A systematic review and meta-analysis
Wanyi Sun, Cheng Song, Chao Tang, et al.
iScience (2023) Vol. 26, Iss. 6, pp. 106815-106815
Open Access | Times Cited: 10
Development of an enhanced U-Net model for brain tumor segmentation with optimized architecture
G. Mahesh Kumar, P. Eswaran
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104427-104427
Closed Access | Times Cited: 17
Detection of brain space-occupying lesions using quantum machine learning
Javeria Amin, Muhammad Almas Anjum, Nadia Gul, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 26, pp. 19279-19295
Closed Access | Times Cited: 7
Detection and Classification of Brain Tumor Using Convolution Extreme Gradient Boosting Model and an Enhanced Salp Swarm Optimization
J. Jebastine
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 2
Development of brain tumor segmentation of magnetic resonance imaging (MRI) using U-Net deep learning
Wasan M. Jwaid, Zainab Shaker Matar Al-Husseini, Ahmad H. Sabry
Eastern-European Journal of Enterprise Technologies (2021) Vol. 4, Iss. 9(112), pp. 23-31
Open Access | Times Cited: 16
Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning
Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 9
Automated Multi-Class High-Grade Glioma Segmentation Based on T1Gd and FLAIR Images
Areen K. Al‐Bashir, Abeer N. Al Obeid, Mohammad Al−Abed, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101570-101570
Open Access
A Study on Effective Segmentation Network in MRI Images for Diagnosis of Brain Tumor
Anu Singha, V Vanitha
(2023), pp. 1-7
Closed Access
Training Hacks and a Frugal Man’s Net with Application to Glioblastoma Segmentation
Jawher Ben Abdallah, Linda Marrakchi‐Kacem, Islem Rekik
(2022), pp. 1-4
Closed Access
A 3D Printing Scheme of Head Model for Neurosurgery
Wenchao Lyu, Song Yang, Guanghong Liu, et al.
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) (2021), pp. 1-6
Closed Access
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