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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 segmentation in MRI images using nonparametric localization and enhancement methods with U-net
Ahmet İlhan, Boran Şekeroğlu, Rahib H. Abiyev
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 3, pp. 589-600
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Explainability of deep neural networks for MRI analysis of brain tumors
Ramy A. Zeineldin, Mohamed Esmail Karar, Ziad Elshaer, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 9, pp. 1673-1683
Open Access | Times Cited: 74
Auxiliary Segmentation Method of Osteosarcoma in MRI Images Based on Denoising and Local Enhancement
Luna Wang, Yu Liao, Jun Zhu, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1468-1468
Open Access | Times Cited: 26
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Kashfia Sailunaz, Deniz Beştepe, Sleiman Alhajj, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284418-e0284418
Open Access | Times Cited: 15
A literature survey of MR-based brain tumor segmentation with missing modalities
Tongxue Zhou, Su Ruan, Haigen Hu
Computerized Medical Imaging and Graphics (2022) Vol. 104, pp. 102167-102167
Closed Access | Times Cited: 21
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: 12
A graph‐based edge attention gate medical image segmentation method
Dechen Hao, Hualing Li
IET Image Processing (2023) Vol. 17, Iss. 7, pp. 2142-2157
Open Access | Times Cited: 11
Batch Normalization Based Convolutional Neural Network for Segmentation and Classification of Brain Tumor MRI Images
Gouri Bompem, Dhanalakshmi Pandluri
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 39-49
Open Access | Times Cited: 4
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets Using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 232-232
Open Access | Times Cited: 4
Pseudo-deep unsupervised model-based clustering for brain tumor detection in magnetic resonance images
Rahman Farnoosh, Fatemeh Aghagoli
Applied Soft Computing (2025), pp. 112940-112940
Closed Access
CMS-net: Edge-aware multimodal MRI feature fusion for brain tumor segmentation
Chunjie Lv, Biyuan Li, Xiuwei Wang, et al.
Image and Vision Computing (2025) Vol. 156, pp. 105481-105481
Closed Access
An Integrated Deep Convolutional Neural Networks Framework for The Automatic Segmentation and Grading of Glioma Tumors Using Multimodal MRI Scans
Otung John Peter Odong, Mohammed Abo‐Zahhad, Moataz M. Abdelwahab
Research Square (Research Square) (2025)
Closed Access
Automated Brain Tumor Diagnosis Using Deep Residual U-Net Segmentation燤odel
R. Poonguzhali, Sultan Ahmad, P. Sivasankar, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 2179-2194
Open Access | Times Cited: 17
COVID-19 Lung CT image segmentation using localization and enhancement methods with U-Net
Ahmet İlhan, Kezban Alpan, Boran Şekeroğlu, et al.
Procedia Computer Science (2023) Vol. 218, pp. 1660-1667
Open Access | Times Cited: 9
LMGU-NET: methodological intervention for prediction of bone health for clinical recommendations
Gautam Amiya, M. Pallikonda Rajasekaran, Kottaimalai Ramaraj, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 15636-15663
Closed Access | Times Cited: 3
Brain Tumor Segmentation and Classification Using Binomial Thresholding-Based Bidirectional-Long-Short Term Memory
J. Shreeharsha
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 149-158
Open Access | Times Cited: 3
ResNet-SVM: Fusion based glioblastoma tumor segmentation and classification
Hanene Sahli, Amine Ben Slama, Abderrazek Zeraii, et al.
Journal of X-Ray Science and Technology (2022) Vol. 31, Iss. 1, pp. 27-48
Closed Access | Times Cited: 15
Vehicle detection systems for intelligent driving using deep convolutional neural networks
Rahib H. Abiyev, Murat Arslan
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 8
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: 8
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology
Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Yudong Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103786-103786
Closed Access | Times Cited: 13
Brain magnetic resonance images segmentation via improved mixtures of factor analyzers based on dynamic co-clustering
Rahman Farnoosh, Fatemeh Aghagoli
Neurocomputing (2024) Vol. 583, pp. 127551-127551
Closed Access | Times Cited: 2
A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations)
Yasaman Zakeri, Babak Karasfi, Afsaneh Jalalian
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 155-180
Closed Access | Times Cited: 2
GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images
Evans Kipkoech Rutoh, Qin Zhi Guang, Noor Bahadar, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102086-102086
Open Access | Times Cited: 2
A novel SLCA-UNet architecture for automatic MRI brain tumor segmentation
P S Tejashwini, J Thriveni, K R Venugopal
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107047-107047
Open Access | Times Cited: 2
ASA-LSTM-based brain tumor segmentation and classification in MRI images

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 115
Open Access | Times Cited: 1
Identification and Segmentation of Tumour in Brain MRI using Deep Learning Techniques
N Mahendran, P. Muthuvel, T. Arunprasath, et al.
(2023), pp. 1214-1219
Closed Access | Times Cited: 3
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