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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 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

Showing 1-25 of 28 citing articles:

A multi-modality framework for precise brain tumor detection and multi-class classification using hybrid GAN approach
S. Karpakam, N. Kumareshan
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107559-107559
Closed Access | Times Cited: 1
Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data
Abdul Haseeb Nizamani, Zhigang Chen, Ahsan Ahmed Nizamani, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101793-101793
Open Access | Times Cited: 26
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
Medical Image-Based Diagnosis Using a Hybrid Adaptive Neuro-Fuzzy Inferences System (ANFIS) Optimized by GA with a Deep Network Model for Features Extraction
Baidaa Mutasher Rashed, Nirvana Popescu
Mathematics (2024) Vol. 12, Iss. 5, pp. 633-633
Open Access | Times Cited: 7
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Ilknur Tuncer, Abdul Hafeez‐Baig, Prabal Datta Barua, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107538-107538
Open Access
Enriching the metadata of map images: a deep learning approach with geographic information systems-based data augmentation
Entaj Tarafder, Sabira Khatun, Muhammad Awais, et al.
Elsevier eBooks (2025), pp. 181-203
Closed Access
A synaptic deep tumor sense predictor system for brain tumor detection and classification
Ashit Kumar Dutta, Yaseen Bokhari, Faisal Yousef Alghayadh, et al.
Alexandria Engineering Journal (2025) Vol. 123, pp. 29-45
Closed Access
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning
Florentina Tatrin Kurniati, Irwan Sembiring, Adi Setiawan, et al.
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2024) Vol. 9, Iss. 4, pp. 1196-1205
Open Access | Times Cited: 4
Ensemble Deep Learning Technique for Detecting MRI Brain Tumor
Rasool F. Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification
Rui Wang, Xiaoshuang Shi, Shuting Pang, et al.
Information Fusion (2024), pp. 102713-102713
Closed Access | Times Cited: 2
Segmentation of MR images for brain tumor detection using autoencoder neural network
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
A Symmetrical Approach to Brain Tumor Segmentation in MRI Using Deep Learning and Threefold Attention Mechanism
Zia-ur Rahman, Ruihong Zhang, Jameel Ahmed Bhutto
Symmetry (2023) Vol. 15, Iss. 10, pp. 1912-1912
Open Access | Times Cited: 6
An Efficient Honeycomb Lung Segmentation Network Combining Multi-Paradigms Representation and Cascade Attention
Bingqian Yang, Xiufang Feng, Yunyun Dong
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 12
Open Access | Times Cited: 2
3W‐MultiHier: A Three Way Multi‐Hierarchical Model Enabled Deep Learning for Brain Tumor Classification in MRI Scans
Asmita Dixit, Manish Thakur
Advanced Theory and Simulations (2024)
Closed Access
Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
Hatice Çatal Reis, Veysel Turk
Neural Computing and Applications (2024)
Closed Access
Deep Learning Transfer Methods for Biomedical Classification of Images
Adel Al-Janabi
International Journal of Innovative Research in Multidisciplinary Education (2024) Vol. 03, Iss. 03
Open Access
Brain Tumor Identification using Transfer Learning with Sugeno-Fuzzy Integral
Nikhil Govil, Shailee Lohmor Choudhary, Rinku Sharma Dixit, et al.
Research Square (Research Square) (2024)
Open Access
The object detection model uses combined extraction with KNN and RF classification
Florentina Tatrin Kurniati, Daniel Manongga, Irwan Sembiring, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 35, Iss. 1, pp. 436-436
Open Access
Advanced U-Net Model for Precise Brain Tumor Segmentation in MRI Images

(2024) Vol. 3, Iss. 2 June 2024, pp. 75-88
Closed Access
Precision meets generalization: Enhancing brain tumor classification via pretrained DenseNet with global average pooling and hyperparameter tuning
Najam Aziz, Nasru Minallah, Jaroslav Frnda, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0307825-e0307825
Open Access
Segmentation of MR Images for Brain Tumor Detection Using Autoencoder Neural Network
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Research Square (Research Square) (2024)
Closed Access
A deep learning ICDNET architecture for efficient classification of histopathological cancer cells using Gaussian noise images
Hui Zong, Wenlong An, Xin Chen, et al.
Alexandria Engineering Journal (2024) Vol. 112, pp. 37-48
Closed Access
Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches
Nadenlla RajamohanReddy, G. Muneeswari
PeerJ Computer Science (2024) Vol. 10, pp. e2496-e2496
Open Access
The Integration of Deep Learning Techniques and Big Data Analytics for Improved Breast Cancer Diagnosis and Treatment: A Systematic Review
Hambisa Mitiku Gebre, Getachew Mamo Wegari
(2024), pp. 13-18
Closed Access
EF-UV: Feature Enhanced fusion of U-Net and VIT Transformer for Brain Tumor MRI Image Segmentation
Xinxin Sun, Uzair Aslam Bhatti, Mengxing Huang, et al.
Research Square (Research Square) (2024)
Closed Access
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