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 and Detection Based DL Models: A Systematic Review
Karrar Neamah, Farhan Mohamed, Myasar Mundher Adnan, et al.
IEEE Access (2023) Vol. 12, pp. 2517-2542
Open Access | Times Cited: 8
Karrar Neamah, Farhan Mohamed, Myasar Mundher Adnan, et al.
IEEE Access (2023) Vol. 12, pp. 2517-2542
Open Access | Times Cited: 8
Showing 8 citing articles:
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
Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
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
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 340-354
Closed Access | Times Cited: 6
Design of an efficient model for brain MRI image classification using graph neural networks
Roshni S. Khedgaonkar, Sneha S. Badhe, Dinesh Bhoyar, et al.
AIP conference proceedings (2025) Vol. 3255, pp. 030009-030009
Closed Access
Roshni S. Khedgaonkar, Sneha S. Badhe, Dinesh Bhoyar, et al.
AIP conference proceedings (2025) Vol. 3255, pp. 030009-030009
Closed Access
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search Operations
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
Advancements in Brain Tumor Segmentation Using Modified UNet Architecture
Manish Chand, Mahendra Kumar Murmu
(2024), pp. 1-8
Closed Access
Manish Chand, Mahendra Kumar Murmu
(2024), pp. 1-8
Closed Access
An Inception V3 Based Glioma Brain Tumor Detection in MRI Images
Pushpa Mohan, G. Ramkumar
(2024), pp. 560-564
Closed Access
Pushpa Mohan, G. Ramkumar
(2024), pp. 560-564
Closed Access
Enhanced Brain Tumor Classification Using Optimized Convolutional Neural Networks: A Deep Learning Approach
Ankita Sharma, Sonam Mittal
(2024), pp. 1-6
Closed Access
Ankita Sharma, Sonam Mittal
(2024), pp. 1-6
Closed Access
