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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 simultaneous segmentation and classification of brain tumors from MRI scans using deep learning
Akshya Kumar Sahoo, Priyadarsan Parida, K. Muralibabu, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 616-633
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm
Muhammad Sami Ullah, Muhammad Attique Khan, Anum Masood, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 20
Hybrid deep learning approach for brain tumor classification using EfficientNetB0 and novel quantum genetic algorithm
Kerem Gencer, Gülcan Gencer
PeerJ Computer Science (2025) Vol. 11, pp. e2556-e2556
Open Access | Times Cited: 2
Modified U-Net with attention gate for enhanced automated brain tumor segmentation
Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network
Rajesh Kumar Thangavel, Antony Allwyn Sundarraj, Jayabrabu Ramakrishnan, et al.
Electromagnetic Biology and Medicine (2025), pp. 1-18
Closed Access | Times Cited: 1
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
Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Zofia Rudnicka, Janusz Szczepański, Agnieszka Pręgowska
Electronics (2024) Vol. 13, Iss. 4, pp. 746-746
Open Access | Times Cited: 9
Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities - Challenges and future directions
Amreen Batool, Yung-Cheol Byun
Computers in Biology and Medicine (2024) Vol. 175, pp. 108412-108412
Closed Access | Times Cited: 8
Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 340-354
Closed Access | Times Cited: 6
MRI intracranial Neoplasm classification using hybrid LOA-based deep learning classifier
Jérémie Mary, M. Suganthi
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107560-107560
Closed Access
Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach
Eid Albalawi, Arastu Thakur, D. Ramya Dorai, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
Integrating Deep Learning and Imaging Techniques for High-Precision Brain Tumor Analysis
Dilip Kumar Gokapay, Sachi Nandan Mohanty
Communications in computer and information science (2025), pp. 53-67
Closed Access
Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis
R Preetha, Jasmine Pemeena Priyadarsini M, J. S. Nisha
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Impact of Backbone Selection in Yolov8 Models on Brain Tumor Localization
Ramin Ranjbarzadeh, Martin Crane, Malika Bendechache
(2024)
Closed Access | Times Cited: 3
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
Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images
R Preetha, M. Jasmine Pemeena Priyadarsini, J. S. Nisha
IEEE Access (2023) Vol. 11, pp. 138549-138567
Open Access | Times Cited: 4
Enhancing brain tumor detection in MRI images using YOLO-NeuroBoost model
A. Lumin Chen, Da Lin, Qiqi Gao
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
An Asymmetric Ensemble Method for Determining the Importance of Individual Factors of a Univariate Problem
Jelena Mišić, Aleksandar Kemiveš, Milan Ranđelović, et al.
Symmetry (2023) Vol. 15, Iss. 11, pp. 2050-2050
Open Access | Times Cited: 3
Improved Brain Tumor Segmentation in MR Images with a Modified U-Net
Hiam Alquran, Mohammed Alslatie, Ali Rababah, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6504-6504
Open Access
Brain tumor segmentation and classification using transfer learning based CNN model with model agnostic concept interpretation
A. Maria Nancy, R. Maheswari
Multimedia Tools and Applications (2024)
Closed Access
MultiTumor Analyzer (MTA-20–55): A network for efficient classification of detected brain tumors from MRI images
Akshya Kumar Sahoo, Priyadarsan Parida, Manoj Kumar Panda, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 617-634
Closed 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
Efficient brain tumor grade classification using ensemble deep learning models
M Sankar, Baiju BV, D Preethi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
QDCNN-DMN: A hybrid deep learning approach for brain tumor classification using MRI images
Pendela Kanchanamala, Vijayakumar Kuppusamy, Gunasekaran Ganesan
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107199-107199
Closed Access
Detection and segmentation of meningioma tumors using improved cloud empowered visual geometry group (cloud-ivgg) deep learning structure
V. Sivamurugan, N Radha, R Swathika
Data & Metadata (2024) Vol. 4, pp. 478-478
Closed Access
Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification
Marjan Kia, Soroush Sadeghi, Homayoun Safarpour, et al.
Iran Journal of Computer Science (2024)
Closed Access
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