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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 and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN
Nivea Kesav, M G Jibukumar
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 6229-6242
Open Access | Times Cited: 99

Showing 1-25 of 99 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: 147
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: 100
An Effective Approach to Detect and Identify Brain Tumors Using Transfer Learning
Naeem Ullah, Javed Ali Khan, Muhammad Sohail Khan, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5645-5645
Open Access | Times Cited: 97
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
Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI image
N. Nagarani, R. Karthick, M. Sandra Carmel Sophia, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105597-105597
Closed Access | Times Cited: 40
Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 81-81
Open Access | Times Cited: 20
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: 30
Deep Learning for the Detection of Acute Lymphoblastic Leukemia Subtypes on Microscopic Images: A Systematic Literature Review
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati
IEEE Access (2023) Vol. 11, pp. 16108-16127
Open Access | Times Cited: 26
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features
Hareem Kibriya, Rashid Amin, Jinsul Kim, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4693-4693
Open Access | Times Cited: 22
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
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
AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 9
ConvAttenMixer: Brain tumor detection and type classification using convolutional mixer with external and self-attention mechanisms
Salha M. Alzahrani
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101810-101810
Open Access | Times Cited: 19
A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
Hafiz Aamir Hafeez, M. A. Elmagzoub, Nurul Azma Abdullah, et al.
IEEE Access (2023) Vol. 11, pp. 46283-46296
Open Access | Times Cited: 17
TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification
Anindya Nag, Hirak Mondal, Md. Mehedi Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 103060-103081
Open Access | Times Cited: 6
Neutrosophic Morphological Segmented Gaussian Regressive Deep Convolutional Network for MRI Images Brain Tumor Classification
Gajarajan Mohanapriya, D Aarthi, S. Muthukumar, et al.
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
FusionNet: Dual Input Feature Fusion Network with Ensemble Based Filter Feature Selection for Enhanced Brain Tumor Classification
Akash Verma, Arun Kumar Yadav
Brain Research (2025), pp. 149507-149507
Closed Access
An Extensive Review on Deep Learning Based Approaches for Brain Tumor Classification
Debasmita Ghosh, G. Uma Devi
Smart innovation, systems and technologies (2025), pp. 23-34
Closed Access
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
Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50
Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Marwan Harb Alqaryouti, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 624-624
Open 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
RBEBT: A ResNet-Based BA-ELM for Brain Tumor Classification
Ziquan Zhu, Muhammad Attique Khan, Shuihua Wang‎, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 101-111
Open Access | Times Cited: 25
The power of deep learning for intelligent tumor classification systems: A review
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
Computers & Electrical Engineering (2023) Vol. 106, pp. 108586-108586
Closed Access | Times Cited: 14
YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification
Abdülkadir Karacı, Kemal Akyol
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12583-12598
Closed Access | Times Cited: 14
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Naeem Ullah, Ali Javed, Ali Alhazmi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291200-e0291200
Open Access | Times Cited: 12
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