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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:

Efficient Detection and Classification of Brain Tumor using Kernel based SVM for MRI
Champakamala Sundar Rao, K. Karunakara
Multimedia Tools and Applications (2022) Vol. 81, Iss. 5, pp. 7393-7417
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tırkolaee, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106405-106405
Closed Access | Times Cited: 144
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 572-587
Closed Access | Times Cited: 80
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: 73
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: 15
Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images
Hongyang Zhang, Shuo Liu, H. Liu
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 227-227
Open Access | Times Cited: 1
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data
Fatih Demir, Yaman Akbulut, Burak Taşçı, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104424-104424
Closed Access | Times Cited: 50
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
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images
T. K. Dutta, Deepak Ranjan Nayak, Yudong Zhang
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105421-105421
Closed Access | Times Cited: 26
Efficient Brain Tumor Detection with Lightweight End-to-End Deep Learning Model
Mohamed Hammad, Mohammed ElAffendi, Abdelhamied A. Ateya, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2837-2837
Open Access | Times Cited: 21
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: 12
Brain tumor detection with multi-scale fractal feature network and fractal residual learning
Shyo Prakash Jakhar, Amita Nandal, Arvind Dhaka, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111284-111284
Closed Access | Times Cited: 8
Machine Learning and Computer Vision Based Methods for Cancer Classification: A Systematic Review
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 3015-3050
Closed Access | Times Cited: 8
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
Omar Abdullah Murshed Farhan Alnaggar, Basavaraj N Jagadale, Mufeed Ahmed Naji Saif, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 8
GAM-SpCaNet: Gradient awareness minimization-based spinal convolution attention network for brain tumor classification
Chaosheng Tang, Bin Li, Junding Sun, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 2, pp. 560-575
Open Access | Times Cited: 17
Advances of AI in image-based computer-aided diagnosis: A review
Mst. Nilufa Yeasmin, Md Al Amin, Tasmim Jamal Joti, et al.
Array (2024) Vol. 23, pp. 100357-100357
Open Access | Times Cited: 6
YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance
Jian Huang, Wen Feng Ding, Tiancheng Zhong, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 211-221
Closed Access
Design of big data classifier optimization method based on improved particle swarm optimization algorithm
Shuwei Hu
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Comprehensive Survey on Computational Techniques for Brain Tumor Detection: Past, Present and Future
Priyanka Datta, Rajesh Rohilla
Archives of Computational Methods in Engineering (2025)
Closed Access
Comprehensive Review on MRI-Based Brain Tumor Segmentation: A Comparative Study from 2017 Onwards
Amit Verma, Shiv Naresh Shivhare, Shailendra Pratap Singh, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
ETISTP: An Enhanced Model for Brain Tumor Identification and Survival Time Prediction
Shah Hussain, Shahab Haider, Sarmad Maqsood, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1456-1456
Open Access | Times Cited: 10
Optimizing the topology of convolutional neural network (CNN) and artificial neural network (ANN) for brain tumor diagnosis (BTD) through MRIs
Jianhong Ye, Zhiyong Zhao, Ehsan Ghafourian, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35083-e35083
Open Access | Times Cited: 3
FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of Tumors
Sepideh Molaei, Niloofar Ghorbani, Fatemeh Dashtiahangar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 15
Brain tumor detection through novel feature selection using deep efficientNet-CNN-based features with supervised learning and data augmentation
Muhammad Mujahid, Amjad Rehman, Faten S Alamri, et al.
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 075002-075002
Closed Access | Times Cited: 2
Detection of brain space-occupying lesions using quantum machine learning
Javeria Amin, Muhammad Almas Anjum, Nadia Gul, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 26, pp. 19279-19295
Closed Access | Times Cited: 7
An improved DeepLabv3+ lightweight network for remote-sensing image semantic segmentation
Hui Chen, Yuanshou Qin, Xinyuan Liu, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 2839-2849
Open Access | Times Cited: 7
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