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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:

Deep CNN for Brain Tumor Classification
Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, et al.
Neural Processing Letters (2021) Vol. 53, Iss. 1, pp. 671-700
Closed Access | Times Cited: 260

Showing 1-25 of 260 citing articles:

Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework
Emrah Irmak
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2021) Vol. 45, Iss. 3, pp. 1015-1036
Open Access | Times Cited: 331
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: 270
Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images
Chetana Srinivas, Nandini Prasad K. S., Mohammed Zakariah, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 191
A deep learning approach for brain tumor classification using MRI images
Muhammad Aamir, Zia-ur Rahman, Zaheer Ahmed Dayo, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108105-108105
Open Access | Times Cited: 145
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models
Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105539-105539
Closed Access | Times Cited: 113
Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization
Hanaa ZainEldin, Samah A. Gamel, El-Sayed M. El-kenawy, et al.
Bioengineering (2022) Vol. 10, Iss. 1, pp. 18-18
Open Access | Times Cited: 104
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: 101
CNN Based Multiclass Brain Tumor Detection Using Medical Imaging
Pallavi Tiwari, Bhaskar Pant, Mahmoud M. Elarabawy, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 99
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1850-1850
Open Access | Times Cited: 96
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Atika Akter, Nazeela Nosheen, Sabbir Ahmed, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122347-122347
Open Access | Times Cited: 91
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 74
An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Mansourah Aljohani, Waleed M. Bahgat, Hossam Magdy Balaha, et al.
Results in Engineering (2024) Vol. 23, pp. 102459-102459
Open Access | Times Cited: 22
A hybrid deep CNN model for brain tumor image multi-classification
Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
Daniel Reyes, Javier Sánchez
Heliyon (2024) Vol. 10, Iss. 3, pp. e25468-e25468
Open Access | Times Cited: 17
BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture
Md. Manowarul Islam, Md. Alamin Talukder, Md Ashraf Uddin, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 15
An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network
Muhammad Irfan Sharif, Jianping Li, Javeria Amin, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 4, pp. 2023-2036
Open Access | Times Cited: 78
Segmentation and classification of brain tumor using 3D-UNet deep neural networks
Pranjal Agrawal, Nitish Katal, Nishtha Hooda
International Journal of Cognitive Computing in Engineering (2022) Vol. 3, pp. 199-210
Open Access | Times Cited: 63
A framework for efficient brain tumor classification using MRI images
Yurong Guan, Muhammad Aamir, Zia-ur Rahman, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5790-5815
Open Access | Times Cited: 60
Brain Tumor Detection using MRI Images and Convolutional Neural Network
Driss Lamrani, Bouchaib Cherradi, Oussama El Gannour, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 7
Open Access | Times Cited: 60
A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4871-4896
Closed Access | Times Cited: 59
A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI
Ejaz Ul Haq, Jianjun Huang, Huarong Xu, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 52
Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images
M. Prakash, Sathishkumar Veerappampalayam Easwaramoorthy, S. Neelakandan, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4178-4178
Open Access | Times Cited: 47
MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification
Ahmed I. Shahin, Walaa Aly, Saleh Aly
Expert Systems with Applications (2022) Vol. 212, pp. 118776-118776
Closed Access | Times Cited: 38
Combining the Transformer and Convolution for Effective Brain Tumor Classification Using MRI Images
Mohammed Aloraini, Asma Khan, Suliman Aladhadh, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3680-3680
Open Access | Times Cited: 33
DCNNBT: A NOVEL DEEP CONVOLUTION NEURAL NETWORK-BASED BRAIN TUMOR CLASSIFICATION MODEL
Mohd Anul Haq, Ilyas Khan, Ahsan Uddin Ahmed, et al.
Fractals (2023) Vol. 31, Iss. 06
Open Access | Times Cited: 32
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