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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:

Brain Tumor Classification Using Dense Efficient-Net
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, et al.
Axioms (2022) Vol. 11, Iss. 1, pp. 34-34
Open Access | Times Cited: 137

Showing 1-25 of 137 citing articles:

A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
Algorithms (2023) Vol. 16, Iss. 4, pp. 176-176
Open Access | Times Cited: 128
Classifying Brain Tumors on Magnetic Resonance Imaging by Using Convolutional Neural Networks
Marco Antonio Gómez-Guzmán, Laura Jiménez-Beristáin, Enrique Efrén García-Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 955-955
Open Access | Times Cited: 101
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: 90
A Novel Data Augmentation-Based Brain Tumor Detection Using Convolutional Neural Network
Haitham Alsaif, Ramzi Guesmi, Badr M. Alshammari, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3773-3773
Open Access | Times Cited: 69
MobileNetV1-Based Deep Learning Model for Accurate Brain Tumor Classification
Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, et al.
Mesopotamian Journal of Computer Science (2023), pp. 32-41
Open Access | Times Cited: 58
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
Rukiye Disci, Fatih Gürcan, Ahmet Soylu
Cancers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 1
BrainGAN: Brain MRI Image Generation and Classification Framework Using GAN Architectures and CNN Models
Halima Hamid N. Alrashedy, Atheer Fahad Almansour, Dina M. Ibrahim, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4297-4297
Open 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
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İNİK
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 30
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation
Sreedhar Kollem, Katta Rama Linga Reddy, Ch. Rajendra Prasad, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 4, pp. 1306-1322
Closed Access | Times Cited: 28
Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system
Sadafossadat Tabatabaei, Khosro Rezaee, Min Zhu
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105119-105119
Closed Access | Times Cited: 24
A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images
Nechirvan Asaad Zebari, Chira N. Mohammed, Dilovan Asaad Zebari, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 790-804
Open Access | Times Cited: 11
Brain Tumor Detection and Classification Using Transfer Learning Models
Vinod Kumar D, G. Murali, Kannan Sreerangan, et al.
(2024), pp. 1-1
Open Access | Times Cited: 9
An Efficient Brain Tumor Detection and Classification using Pre-Trained Convolutional Neural Network Models
K. Nishanth Rao, Osamah Ibrahim Khalaf, Vasagiri Krishnasree, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36773-e36773
Open Access | Times Cited: 7
A Novel Approach for Classifying Brain Tumours Combining a SqueezeNet Model with SVM and Fine-Tuning
Mohammed Rasool, Nor Azman Ismail, Arafat Al-Dhaqm, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 149-149
Open Access | Times Cited: 32
Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging
Wenjing Zhang, Chengmin Yang, Zehong Cao, et al.
EBioMedicine (2023) Vol. 90, pp. 104541-104541
Open Access | Times Cited: 17
Attention-based and micro designed EfficientNetB2 for diagnosis of Alzheimer’s disease
Hejie Li, Ying Tan, Jiaqing Miao, et al.
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104571-104571
Closed Access | Times Cited: 16
Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images
Mohammed Aljebreen, Hanan Abdullah Mengash, Mohammad Alamgeer, et al.
IEEE Access (2024) Vol. 12, pp. 11147-11156
Open 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
VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation
S. Poornam, J. Jane Rubel Angelina
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6403-6419
Closed Access | Times Cited: 5
Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 5
Research on detecting internal trunk-boring insects in living trees based on BP-UNet
Hongwei Zhou, Bo Xia, Guoyang Liu, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-28
Closed Access
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
VGX: VGG19‐Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI)
Deep Kothadiya, Amjad Rehman, Bayan Alghofaily, et al.
Microscopy Research and Technique (2025)
Closed Access
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