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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:

Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification
Abdullah A. Asiri, Bilal Khan, Fazal Muhammad, et al.
Intelligent Automation & Soft Computing (2022) Vol. 36, Iss. 1, pp. 299-312
Open Access | Times Cited: 15

Showing 15 citing articles:

Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
SPP_CNN: Spatial Pyramid Pooling for Optimizing Brain Tumor Classification
Suri babu Nuthalapati, A. R. Bushara, K M Abubeker
Lecture notes in electrical engineering (2025), pp. 1-16
Closed Access | Times Cited: 1
Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models
Mst. Sazia Tahosin, Md. Alif Sheakh, Taminul Islam, et al.
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101414-101414
Open Access | Times Cited: 13
A review of deep learning approaches in clinical and healthcare systems based on medical image analysis
Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 36039-36080
Closed Access | Times Cited: 11
Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM
Saravanan Chandrasekaran, S. Aarathi, Abdulmajeed Alqhatani, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Blockchain-Based Deep CNN for Brain Tumor Prediction Using MRI Scans
Farah Mohammad, Saad Al-Ahmadi, Jalal Al‐Muhtadi
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1229-1229
Open Access | Times Cited: 6
Brain MRI detection and classification: Harnessing convolutional neural networks and multi-level thresholding
K. Rasool Reddy, Kandala N. V. P. S. Rajesh, Ravindra Dhuli, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0306492-e0306492
Open Access | Times Cited: 2
Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques
Tawfeeq Shawly, Ahmed A. Alsheikhy
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 425-443
Open Access | Times Cited: 2
Brain Cancer Detection With MRI and ML
Priyesh Gupta, Shashank Srivastava, Riya Gupta, et al.
(2024), pp. 1643-1648
Closed Access
Analysing the Best Algorithm and Hyperparameter for Brain Tumour Detection
Himani Dhawan, S. Rakshit, T. V. K. Gupta, et al.
Smart innovation, systems and technologies (2024), pp. 439-454
Closed Access
Resting-state EEG microstate features for Alzheimer’s disease classification
Xiaoli Yang, Zhipeng Fan, Zhenwei Li, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0311958-e0311958
Open Access
Machine learning for brain tumor classification: evaluating feature extraction and algorithm efficiency
Krishan Kumar, Kiran Jyoti, Krishan Kumar
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
A Study on Brain Tumor in Various Fields using Machine Learning
E Pushparaj., A. Arun
(2023), pp. 1885-1891
Closed Access | Times Cited: 1
Enhancing Chronic Kidney Disease Diagnosis using Machine Learning Classifiers: A Comparative Analysis

International Journal of Advanced Natural Sciences and Engineering Researches (2023)
Open Access
Empowering Intracranial Tumor Diagnosis: Deep Learning with DenseNet-256 and CNN-Based Enhanced Classification Algorithms
P. Silpa Chaitanya, Sk. Mastanbi, G. Manasa, et al.
(2023), pp. 1-7
Closed Access
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