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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 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

Showing 15 citing articles:

Detection of Brain Tumour based on Optimal Convolution Neural Network
R. Kishore Kanna, Susanta Kumar Sahoo, B K Mandhavi, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 21
Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach
Shoffan Saifullah, Rafał Dreżewski
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 2583-2583
Open Access | Times Cited: 7
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
DFMN: Dense fused Maxout network for severity prediction of brain tumor using hybrid tumor segmentation algorithm
R. Rajeswari, Santhoshini Sahu, Ramamani Tripathy, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106029-106029
Closed Access | Times Cited: 4
XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging
Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Precision Meets Innovation: Hybrid Ai Model in Brain Tumor Research
Rabeya Bashri Sumona, Jit Biswas, Ahmed Shafkat, et al.
(2025)
Closed Access
Explainable cost-sensitive deep neural networks for brain tumor detection from brain MRI images considering data imbalance
Md. Tanvir Rouf Shawon, G. M. Shahariar, Farzad Ahmed, et al.
Multimedia Tools and Applications (2025)
Closed Access
Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet
Namya Musthafa, Mohammad Mehedy Masud, Qurban A. Memon
(2024), pp. 52-57
Closed Access | Times Cited: 1
PRCnet: An Efficient Model for Automatic Detection of Brain Tumor in MRI Images
Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Classification Of Brain Tumor Using Generative Adversarial Network With RES NET Discriminator
M. Umamaheswari, J. Sivadasan, Rajat Kumar Dwibedi, et al.
(2024), pp. 01-07
Closed Access
Study of Brain Tumor Detection using Deep Learning Model
M. Chitra, S Swathi, V. Amirthavalli, et al.
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 4, pp. 282-288
Open Access
WGCAMNet: Wasserstein Generative Adversarial Network Augmented and Custom Attention Mechanism Based Deep Neural Network for Enhanced Brain Tumor Detection and Classification
Fatema Binte Alam, Tahasin Ahmed Fahim, Md Asef, et al.
Information (2024) Vol. 15, Iss. 9, pp. 560-560
Open Access
Implementation of SegNet for precise segmentation of tumor in MRI slice compared to UNet
U. Vedhasri, V. Rajinikanth
AIP conference proceedings (2024) Vol. 3193, pp. 020093-020093
Closed Access
XAI-MRI: An Ensemble Dual-Modality Approach for 3D Brain Tumor Segmentation Using Magnetic Resonance Imaging
Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Leveraging Deep Learning Model for Computer Vision-Based Brain Tumor Classification in 3D MRI Brain Images
Tsz Kin Wan, Kei Hang Katie Chan
(2024), pp. 1-4
Closed Access
Segmentation and Detection of Brain Tumors using EfficientNetB3 Model
Menka Vishwakarma, Pradeep Tripathi, Bhanu Pratap Singh, et al.
(2023) Vol. 18, pp. 1463-1470
Closed Access | Times Cited: 1
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