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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:

Explainable hybrid vision transformers and convolutional network for multimodal glioma segmentation in brain MRI
Ramy A. Zeineldin, Mohamed Esmail Karar, Ziad Elshaer, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access | Times Cited: 1
Utilizing customized CNN for brain tumor prediction with explainable AI
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38997-e38997
Open Access | Times Cited: 7
EfficientUNetViT: Efficient Breast Tumor Segmentation utilizing U-Net Architecture and Pretrained Vision Transformer
Shokofeh Anari, Gabriel Gomes de Oliveira, Ramin Ranjbarzadeh, et al.
(2024)
Open Access | Times Cited: 5
EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer
Shokofeh Anari, Gabriel Gomes de Oliveira, Ramin Ranjbarzadeh, et al.
Bioengineering (2024) Vol. 11, Iss. 9, pp. 945-945
Open Access | Times Cited: 5
Enhancing Transparency and Trust in Brain Tumor Diagnosis: An In-Depth Analysis of Deep Learning and Explainable AI Techniques
Krishan Kumar, Kiran Jyoti
Research Square (Research Square) (2025)
Closed Access
Enhancing histopathological image analysis: An explainable vision transformer approach with comprehensive interpretation methods and evaluation of explanation quality
Aqib Nazir Mir, Danish Raza Rizvi, Munir Ahmad
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110519-110519
Closed Access
Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
A Hybrid UNet and Vision Transformer Architecture with Multi-scale Fusion for Brain Tumor Segmentation
Ramin Ranjbarzadeh, Shokofeh Anari, Martin Crane, et al.
Lecture notes in electrical engineering (2025), pp. 484-492
Closed Access
Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging
Tran Anh Tuan, Tal Zeevi, Seyedmehdi Payabvash
BioMedInformatics (2025) Vol. 5, Iss. 2, pp. 20-20
Open Access
Multimodal large language models as assistance for evaluation of thyroid-associated ophthalmopathy
Bo Ram Kim, Joon Yul Choi, Tae Keun Yoo
Computers in Biology and Medicine (2025) Vol. 192, pp. 110301-110301
Closed Access
Utilizing Customized Cnn for Brain Tumor Prediction with Explainable Ai
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
(2024)
Closed Access | Times Cited: 1
Machine learning in image‐based outcome prediction after radiotherapy: A review
Xiaohan Yuan, Chaoqiong Ma, Mingzhe Hu, et al.
Journal of Applied Clinical Medical Physics (2024)
Open Access | Times Cited: 1
Explainable AI in brain tumor diagnosis: A critical review of ML and DL techniques
Krishan Kumar, Kiran Jyoti, Krishan Kumar
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI
Ramy A. Zeineldin, Franziska Mathis-Ullrich
Lecture notes in computer science (2024), pp. 24-34
Closed Access | Times Cited: 1
Preoperative Grading of Brain Gliomas Using 3D-ResNet18 Based on Multimodal MRI and Attention Mechanism
He Yuanzhe, Qian Chengyi, Yuanjun Wang
Journal of Psychology and Psychotherapy Research (2024) Vol. 11, pp. 12-20
Open Access
Red Piranha Optimization Based Fast and Robust Fuzzy C-Means Clustering for Precise Glioma Segmentation in Therapeutic Applications
Gustavo Sophia, Kottaimalai Ramaraj, K Karthikeyan, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2024), pp. 294-300
Closed Access
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