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 symmetric prior knowledge based deep learning model for intracerebral hemorrhage lesion segmentation
Mayidili Nijiati, Abudouresuli Tuersun, Yue Zhang, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 13

Showing 13 citing articles:

Transformers for Neuroimage Segmentation: Scoping Review
Maya Iratni, Ahmad Shahidan Abdullah, Mariam Aldhaheri, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e57723-e57723
Open Access

Deformable symmetry attention for nuclear medicine image segmentation
Zeao Zhang, Pei Yang, Ruomeng Liu, et al.
Neurocomputing (2025), pp. 129757-129757
Closed Access

The Role of Artificial Intelligence in Diagnostic Neurosurgery: A Systematic Review
William Li, Armand Gumera, Shiv Surya, et al.
Research Square (Research Square) (2025)
Closed Access

AI-Based Decision Support System for Traumatic Brain Injury: A Survey
Flora Rajaei, Shuyang Cheng, Craig A. Williamson, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1640-1640
Open Access | Times Cited: 11

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

DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision
Hanguang Xiao, Xinyi Shi, Qingling Xia, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8657-8679
Closed Access | Times Cited: 1

Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis
Diana Zarei, Mahbod Issaiy, Shahriar Kolahi, et al.
Stroke Vascular and Interventional Neurology (2024) Vol. 4, Iss. 4
Open Access

Prior knowledge-based DMV model for few-shot and multi-category wood recognition
Jiashun Niu, Pengyan Zhuang, Bingzhen Wang, et al.
Wood Science and Technology (2024) Vol. 58, Iss. 4, pp. 1517-1533
Closed Access

Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection
Jewel Sengupta, Robertas Alzbutas, Tomas Iešmantas, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2417-2417
Open Access

Pairwise hemorrhage-brain region interaction-driven hemorrhagic stroke assessment in CT
Wei Liang, Haixiong Wu, Hongbin Guo, et al.
Physics in Medicine and Biology (2024) Vol. 70, Iss. 1, pp. 015006-015006
Closed Access

Transformers for Neuroimage Segmentation: Scoping Review (Preprint)
Maya Iratni, A. Sheik Abdullah, Mariam Aldhaheri, et al.
(2024)
Closed Access

Automatic Surgical Reconstruction for Orbital Blow-Out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network
Jiangchang Xu, Yining Wei, Huifang Zhou, et al.
Lecture notes in computer science (2023), pp. 462-471
Closed Access

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