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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 tumors segmentation using a hybrid filtering with U-Net architecture in multimodal MRI volumes
Sima Esmaeilzadeh Asl, Mehdi Chehel Amirani, Hadi Seyedarabi
International Journal of Information Technology (2023) Vol. 16, Iss. 2, pp. 1033-1042
Closed Access | Times Cited: 15

Showing 15 citing articles:

Feature-enhanced deep learning technique with soft attention for MRI-based brain tumor classification
Bipin Ch. Mohanty, P. K. Subudhi, Ratnakar Dash, et al.
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1617-1626
Closed Access | Times Cited: 34
WSSOA: whale social spider optimization algorithm for brain tumor classification using deep learning technique
Anil Kumar Mandle, Satya Prakash Sahu, Govind P. Gupta
International Journal of Information Technology (2024)
Closed Access | Times Cited: 7
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 333-351
Closed Access | Times Cited: 5
Dynamic Focus on Tumor Boundaries: A Lightweight U-Net for MRI Brain Tumor Segmentation
Kuldashboy Avazov, Sanjar Mirzakhalilov, Sabina Umirzakova, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1302-1302
Open Access | Times Cited: 5
VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification
Kambham Pratap Joshi, Vishruth B. Gowda, B D Parameshachari, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 29-29
Open Access
Brain tumor segmentation with deep learning: Current approaches and future perspectives
Akash Verma, Arun Kumar Yadav
Journal of Neuroscience Methods (2025), pp. 110424-110424
Closed Access
UNet with ResNextify and IB modules for low-dose CT image denoising
Swati Chauhan, Nidhi Malik, Rekha Vig
International Journal of Information Technology (2024) Vol. 16, Iss. 7, pp. 4677-4692
Closed Access | Times Cited: 3
Computerized segmentation of MR brain tumor: an integrated approach of multi-modal fusion and unsupervised clustering
K. G. Lavanya, P. Dhanalakshmi, M. Nandhini
International Journal of Information Technology (2023) Vol. 16, Iss. 2, pp. 1155-1169
Closed Access | Times Cited: 9
Enhancing brain tumor segmentation in MRI images using the IC-net algorithm framework
C. S., J. Christopher Clement
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
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
Utilizing Advanced Deep Learning Techniques for Brain Tumor Classification
Pogula Sreedevi, K. Pushpa Rani, M. Anand, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1367-1373
Closed Access | Times Cited: 1
LP norm regularized deep CNN classifier based on biwolf optimization for mitosis detection in histopathology images
Jithy Varghese, J. S. Saleema
International Journal of Information Technology (2024) Vol. 16, Iss. 6, pp. 3517-3536
Closed Access | Times Cited: 1
Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images
Jay J. Yoo, Khashayar Namdar, Farzad Khalvati
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
De-noising and Road Extraction from High-resolution Images using Fully Convolutional Network
Dhanashri Patil, Sangeeta Jadhav
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1810-1815
Closed Access
FBG Sensor Design and Analysis for Early Detection of Cancer
Spriya Sharan, H K Dhruva, T. Anitha, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 843-849
Closed Access
An AI-assisted explainable mTMCNN architecture for detection of mandibular third molar presence from panoramic radiography
İsmail Kayadibi, Utku Köse, Gür Emre Güraksın, et al.
International Journal of Medical Informatics (2024) Vol. 195, pp. 105724-105724
Closed Access
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