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:

MRI brain tumor detection using deep learning and machine learning approaches
Shenbagarajan Anantharajan, S. Gunasekaran, Thavasi Subramanian, et al.
Measurement Sensors (2024) Vol. 31, pp. 101026-101026
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification
İshak Paçal, Ömer Çelik, Bilal Bayram, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11187-11212
Open Access | Times Cited: 19

Comparative analysis for accurate multi-classification of brain tumor based on significant deep learning models
Mohamed S. Elhadidy, Abdelrahman T. Elgohr, Marwa El-Geneedy, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109872-109872
Closed Access | Times Cited: 3

Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2

Multi-criteria decision making: Revealing Afinitor as the leading brain tumor drug Using CRITIC, CoCoSo, and MABAC methods combined with QSPR analysis via Banhatti indices
Abid Mahboob, Laiba Amin, Muhammad Waheed Rasheed, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109820-109820
Closed Access | Times Cited: 1

Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
Sarfaraz Natha, Umm e Laila, Ibrahim Ahmed Gashim, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2210-2210
Open Access | Times Cited: 7

Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques
Yogesh Kumar, Priya Bhardwaj, Supriya Shrivastav, et al.
Neuroinformatics (2025) Vol. 23, Iss. 2
Closed Access

Analyzing Infant Cry to Detect Birth Asphyxia Using a Hybrid CNN and Feature Extraction Approach
Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, et al.
Neuroscience Informatics (2025), pp. 100193-100193
Open Access

Wavelet Based Classification Using Meta-Heuristic Algorithm with Deep Transfer Learning Technique
Anupam Pandey, Vikas Pandey
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access

Median Binary Pattern with Statistical model for feature extraction and Mobile DB-Net based brain tumor detection using MRI image
Satha Swapna, Yugandhar Garapati
Expert Systems with Applications (2025), pp. 127201-127201
Closed Access

GraphMriNet: a few-shot brain tumor MRI image classification model based on Prewitt operator and graph isomorphic network
Bin Liao, Hangxu Zuo, Yang Yu, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6917-6930
Open Access | Times Cited: 3

Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey
Ahmed Sharafeldeen, Justin Keowen, Ahmed Shaffie
Computers (2025) Vol. 14, Iss. 2, pp. 36-36
Open Access

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access

A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access

Brain tumor diagnosis using modified DenseNet121 architecture with adaptive learning rate and callback mechanism
Chandrasekar Venkatachalam, Priyanka Shah, P. Renukadevi, et al.
Neural Computing and Applications (2025)
Closed Access

Accurate Deep Learning Models for Predicting Brain Cancer at begin Stage
N. Sathish, G. Gangadevi, K Sangeetha, et al.
International Research Journal of Multidisciplinary Technovation (2025), pp. 66-76
Open Access

Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review
Rim Missaoui, Wided Hechkel, Wajdi Saadaoui, et al.
Sensors (2025) Vol. 25, Iss. 9, pp. 2746-2746
Open Access

A Systematic Analysis of Neural Networks, Fuzzy Logic and Genetic Algorithms in Tumor Classification
Ahmed Al-Ashoor, Ferenc Lilik, Szilvia Nagy
Applied Sciences (2025) Vol. 15, Iss. 9, pp. 5186-5186
Open Access

BrainNeuroNet: advancing brain tumor detection with hierarchical transformers and multiscale attention
S. Poornam, J. Jane Rubel Angelina
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2

Enhanced MRI-based brain tumor segmentation and feature extraction using Berkeley wavelet transform and ETCCNN
Dilip Kumar Gokapay, Sachi Nandan Mohanty
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2

Advanced Brain Tumor Diagnosis using Haralick Texture Features and Multiclass SVM in MRI Imaging
Shaik Karimullah, M. Mahaboob Basha, Fahimuddin Shaik, et al.
2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) (2024), pp. 1-6
Closed Access | Times Cited: 1

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