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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:

Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm
Nagwan Abdel Samee, Tahir Ahmad, Noha F. Mahmoud, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2340-2340
Open Access | Times Cited: 18

Showing 18 citing articles:

Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment
Martin Strunga, Renáta Urban, Jana Surovková, et al.
Healthcare (2023) Vol. 11, Iss. 5, pp. 683-683
Open Access | Times Cited: 69
Application of Deep Learning for Prediction of Alzheimer’s Disease in PET/MR Imaging
Yan Zhao, Qianrui Guo, Yukun Zhang, et al.
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1120-1120
Open Access | Times Cited: 23
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
Automatic brain tumor detection using CNN transfer learning approach
Vinayak K. Bairagi, Pratima Purushottam Gumaste, Seema Rajput, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 7, pp. 1821-1836
Closed Access | Times Cited: 22
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
MultiModNet: An automated multimodal network for brain tumor volume determination and grading with three-dimensional u-net and deformable voxel fusion
T. Jeslin, T. Thanya
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107469-107469
Closed Access
A 3D MRI Brain Image Segmentation and Reconstruction System Based on Augmented Reality Technology
Wang Zhao, Peixin Lu, Lianting Hu, et al.
Communications in computer and information science (2025), pp. 109-130
Closed Access
Segmentation and classification of brain tumour using LRIFCM and LSTM
K. S. Neetha, Dayanand Lal Narayan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76705-76730
Closed 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
A New Breakpoint to Classify 3D Voxels in MRI: A Space Transform Strategy with 3t2FTS-v2 and Its Application for ResNet50-Based Categorization of Brain Tumors
Hasan Koyuncu, Mücahid Barstuğan
Bioengineering (2023) Vol. 10, Iss. 6, pp. 629-629
Open Access | Times Cited: 3
Machine and Deep Learning Approaches For Brain Tumor Identification: Technologies, Applications, and Future Directions
Vikram Verma, Alankrita Aggarwal, Tajinder Kumar
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2023), pp. 392-399
Closed Access | Times Cited: 3
Bridging the Gap: Exploring Opportunities, Challenges, and Problems in Integrating Assistive Technologies, Robotics, and Automated Machines into the Health Domain
Daniele Giansanti
Healthcare (2023) Vol. 11, Iss. 17, pp. 2462-2462
Open Access | Times Cited: 2
Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images
Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Efficient Brain Tumor Segmentation in MRI Images: A ResNet-based Approach with SegNet Classification
Shivaprasad Biradar, Virupakshappa Virupakshappa
(2023), pp. 1-7
Closed Access | Times Cited: 1
Applying Transfer Learning on 3D Brain Images and an MLOPS Study for Deployment
Noby Mathew, Christina Terese Joseph
(2023), pp. 541-547
Closed Access
Identification of Challenges and Limitations of Current Methods for Detection and Segmentation of Brain Tumor
V H Shruti, Lakshmi Patil
(2023), pp. 1-6
Closed Access
A Two-Stage Neural Network Model for Breast Ultrasound Image Classification
Bining Long, Yanran Guan, Matthew S. Holden
(2023), pp. 129-133
Closed Access
Brain Tumor Detection and Classification Using Deep Learning
Shruti Agarwal, Dhyanendra Jain, Shubh Gupta, et al.
(2023), pp. 635-640
Closed Access
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