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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 based on hybrid approach
Wadhah Ayadi, Imen Charfi, Wajdi Elhamzi, et al.
The Visual Computer (2020) Vol. 38, Iss. 1, pp. 107-117
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

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: 102
Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks
Bilal Ahmad, Jun Sun, Qi You, et al.
Biomedicines (2022) Vol. 10, Iss. 2, pp. 223-223
Open Access | Times Cited: 75
Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2650-2650
Open Access | Times Cited: 41
Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques
Zahid Rasheed, Yong-Kui Ma, Inam Ullah, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1320-1320
Open Access | Times Cited: 41
A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery
C. Kishor Kumar Reddy, Pulakurthi Anaghaa Reddy, Himaja Janapati, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 17
An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Sumeet Saurav, Ayush Sharma, Ravi Saini, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2541-2560
Closed Access | Times Cited: 39
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: 32
Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis
Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 30
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data
Amol Avinash Joshi, Rabia Musheer Aziz
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 29
Hybrid Optimization Algorithm Enabled Deep Learning Approach Brain Tumor Segmentation and Classification Using MRI
S. Deepa, J. Janet, S. Sumathi, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 847-868
Closed Access | Times Cited: 28
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images
Sohaib Asif, Ming Zhao, Xuehan Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 3, pp. 499-514
Closed Access | Times Cited: 28
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: 10
Deep learning for multi-grade brain tumor detection and classification: a prospective survey
K. Bhagyalaxmi, B. Dwarakanath, P. Vijaya Pal Reddy
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 65889-65911
Closed Access | Times Cited: 9
Advancing brain tumor classification through MTAP model: an innovative approach in medical diagnostics
Cüneyt Özdemir, Yahya Doğan
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2165-2176
Open Access | Times Cited: 9
Brain Tumor Segmentation Using Deep Learning on MRI Images
Almetwally M. Mostafa, Mohammed Zakariah, Eman Abdullah Aldakheel
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1562-1562
Open Access | Times Cited: 21
Integrating Convolutional Neural Networks with Attention Mechanisms for Magnetic Resonance Imaging-Based Classification of Brain Tumors
Zahid Rasheed, Yongkui Ma, Inam Ullah, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 701-701
Open Access | Times Cited: 7
Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability
Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1878-e1878
Open Access | Times Cited: 6
Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access
Hybrid Archimedes Sine Cosine optimization enabled Deep Learning for multilevel brain tumor classification using MRI images
M. Geetha, V Srinadh, J. Janet, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105419-105419
Closed Access | Times Cited: 15
Explainable Deep Learning Approach for Multi-Class Brain Magnetic Resonance Imaging Tumor Classification and Localization Using Gradient-Weighted Class Activation Mapping
Tahir Hussain, Hayaru Shouno
Information (2023) Vol. 14, Iss. 12, pp. 642-642
Open Access | Times Cited: 15
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network
Sohaib Asif, Q Ul Ain, Raeed Al-Sabri, et al.
Journal of Computational Science (2024) Vol. 80, pp. 102324-102324
Closed Access | Times Cited: 4
A comprehensive review on deep learning approaches for brain tumour classification and prediction: Current status and future prospects
Rahul Jadhav, Sudhagar Govindaswamy
AIP conference proceedings (2025) Vol. 3281, pp. 060005-060005
Closed Access
CNN-LSTM Based Hybrid Approach for Precise Brain Tumour Classification
Sitanath Biswas, Santanu Sahoo, Saswati Rakshit, et al.
Learning and analytics in intelligent systems (2025), pp. 31-40
Closed Access
Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging
Nagur Shareef Shaik, N. Veeranjaneulu, Jyostna Devi Bodapati
Machine Vision and Applications (2025) Vol. 36, Iss. 3
Closed Access
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