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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:

A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers
Hareem Kibriya, Rashid Amin, Asma Hassan Alshehri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 168
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120534-120534
Open Access | Times Cited: 99
Deep fake detection and classification using error-level analysis and deep learning
Rimsha Rafique, Rahma Gantassi, Rashid Amin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 48
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 45
Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm
Muhammad Sami Ullah, Muhammad Attique Khan, Anum Masood, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 18
Detection and classification of brain tumor using hybrid deep learning models
Baiju Babu Vimala, Saravanan Srinivasan, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images
Muhammad Aamir, Ziaur Rahman, Waheed Ahmed Abro, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104988-104988
Closed Access | Times Cited: 28
Interpretable features fusion with precision MRI images deep hashing for brain tumor detection
Erdal Özbay, Feyza Altunbey Özbay
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107387-107387
Closed Access | Times Cited: 23
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features
Hareem Kibriya, Rashid Amin, Jinsul Kim, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4693-4693
Open Access | Times Cited: 22
Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier
Usharani Bhimavarapu, Nalini Chintalapudi, Gopi Battineni
Bioengineering (2024) Vol. 11, Iss. 3, pp. 266-266
Open Access | Times Cited: 13
Isolated Convolutional-Neural-Network-Based Deep-Feature Extraction for Brain Tumor Classification Using Shallow Classifier
Yassir Edrees Almalki, Muhammad Umair Ali, Karam Dad Kallu, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1793-1793
Open Access | Times Cited: 27
Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered with explainable AI
Muhammad Sami Ullah, Muhammad Attique Khan, Hussain Mubarak Albarakati, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109183-109183
Closed Access | Times Cited: 6
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
Proximal femur fracture detection on plain radiography via feature pyramid networks
İlkay Yıldız Potter, Diana Yeritsyan, Sarah Mahar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
NeuroInsight: a revolutionary self-adaptive framework for precise brain tumor classification in medical imaging using adaptive deep learning
Sonia Arora, Gouri Sankar Mishra
Signal Image and Video Processing (2025) Vol. 19, Iss. 2
Open Access
FusionNet: Dual Input Feature Fusion Network with Ensemble Based Filter Feature Selection for Enhanced Brain Tumor Classification
Akash Verma, Arun Kumar Yadav
Brain Research (2025), pp. 149507-149507
Closed Access
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Naeem Ullah, Ali Javed, Ali Alhazmi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291200-e0291200
Open Access | Times Cited: 12
Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges
Jasmin Hassan, Safiya Mohammed Saeed, Lipika Deka, et al.
Pharmaceutics (2024) Vol. 16, Iss. 2, pp. 260-260
Open Access | Times Cited: 4
Brain tumor classification and detection via hybrid alexnet-gru based on deep learning
A. Priya, V. Vasudevan
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105716-105716
Closed Access | Times Cited: 11
Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM
Feyza Altunbey Özbay, Erdal Özbay
Iran Journal of Computer Science (2023) Vol. 6, Iss. 3, pp. 245-259
Closed Access | Times Cited: 10
Potential roles of transformers in brain tumor diagnosis and treatment
Yu‐Long Lan, Shuang Zou, Bing Qin, et al.
Brain‐X (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 10
Heart Disease Prediction Using Random Forest Based Hybrid Optimization Algorithms
Ravichandra Torthi, Ajay Dilip Kumar Marapatla, Soumya Mande, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 134-144
Open Access | Times Cited: 3
Application of Machine Learning for Classification of Brain Tumors: A Systematic Review and Meta-Analysis
Laís Silva Santana, Jordana Borges Camargo Diniz, Luisa Mothé Glioche Gasparri, et al.
World Neurosurgery (2024) Vol. 186, pp. 204-218.e2
Closed Access | Times Cited: 3
Computer-Aided Diagnostic System for Brain Tumor Classification using Explainable AI
S. Padmapriya, M.S. Gayathri Devi
(2024), pp. 1-6
Closed Access | Times Cited: 3
Brain-computer interfaces inspired spiking neural network model for depression stage identification
M. Angelin Ponrani, Monika Anand, Mahmood Alsaadi, et al.
Journal of Neuroscience Methods (2024) Vol. 409, pp. 110203-110203
Closed Access | Times Cited: 3
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