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:

A few-shot learning-based ischemic stroke segmentation system using weighted MRI fusion
Fatima Alshehri, Ghulam Muhammad
Image and Vision Computing (2023) Vol. 140, pp. 104865-104865
Closed Access | Times Cited: 17

Showing 17 citing articles:

Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 27

Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset
Dipanjali Kundu, Md. Mahbubur Rahman, Anichur Rahman, et al.
IEEE Access (2024) Vol. 12, pp. 32819-32829
Open Access | Times Cited: 13

CABnet: A channel attention dual adversarial balancing network for multimodal image fusion
Le Sun, Mengqi Tang, Ghulam Muhammad
Image and Vision Computing (2024) Vol. 147, pp. 105065-105065
Closed Access | Times Cited: 5

Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans
A. N., Karl Li, Nicolas Honnorat, et al.
Journal of Neuroscience Methods (2025) Vol. 415, pp. 110359-110359
Closed Access

Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI
Ashiqur Rahman, Muhammad E. H. Chowdhury, Md Sharjis Ibne Wadud, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107676-107676
Closed Access

CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke
Mumu Aktar, Donatella Tampieri, Yiming Xiao, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102550-102550
Closed Access

Detection of Alzheimer’s Disease using Explainable Machine Learning and Mathematical Models
Krishna Mahapatra, R. Selvakumar
Journal of Medical Physics (2025) Vol. 50, Iss. 1, pp. 131-139
Open Access

Mitigating human fall injuries: A novel system utilizing 3D 4-stream convolutional neural networks and image fusion
Thamer Alanazi, Khalid Babutain, Ghulam Muhammad
Image and Vision Computing (2024) Vol. 148, pp. 105153-105153
Closed Access | Times Cited: 2

Multi‐focal channel attention for medical image segmentation
Hamdan Al Jowair, Mansour Alsulaiman, Ghulam Muhammad
Expert Systems (2024)
Closed Access | Times Cited: 1

Ischemic Stroke Segmentation by Transformer and Convolutional Neural Network Using Few-Shot Learning
Fatima Alshehri, Ghulam Muhammad
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 12, pp. 1-21
Open Access | Times Cited: 1

Segmentation of Acute Ischemic Stroke Lesion from Non-Contrast CT Scans
Manas Kumar Nag, Anup Sadhu, Samiran Das
Research Square (Research Square) (2024)
Open Access

Res2U++: Deep learning model for segmentation of ischemic stroke lesions
Nesrine Jazzar, Ali Douik
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107269-107269
Closed Access

Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data
Chintha Sri Pothu Raju, Bala Chakravarthy Neelapu, Rabul Hussain Laskar, et al.
Multimedia Tools and Applications (2024)
Closed Access

Development of a diagnostic model for acute ischemic stroke early identification based on SE-ResNeXt
Xu Jie, Keren Shen, Zhuo Yu, et al.
Research Square (Research Square) (2024)
Open Access

Transformer Dil-DenseUnet: An Advanced Architecture for Stroke Segmentation
Nesrine Jazzar, Besma Mabrouk, Ali Douik
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 304-304
Open Access

Increase the sensitivity of moderate examples for semantic image segmentation
Quan Tang, Fagui Liu, D H Zhang, et al.
Image and Vision Computing (2024) Vol. 154, pp. 105357-105357
Closed Access

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