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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:

Development and assessment of machine learning models for predicting recurrence risk after endovascular treatment in patients with intracranial aneurysms
Shiteng Lin, Yang Zou, Jue Hu, et al.
Neurosurgical Review (2021) Vol. 45, Iss. 2, pp. 1521-1531
Open Access | Times Cited: 13

Showing 13 citing articles:

Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis
Fei Liu, Jie Yao, Chunyan Liu, et al.
BMC Surgery (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 14
Predicting the radiological outcome of cerebral aneurysm treatment with machine learning algorithms; a systematic review and diagnostic meta-analysis
Mohammad Amin Habibi, Hanieh Amani, Mohammad Sina Mirjani, et al.
Interdisciplinary Neurosurgery (2023) Vol. 36, pp. 101929-101929
Open Access | Times Cited: 11
Risk factors for recanalization after coil embolization for cerebral aneurysms: importance of the first coil and prediction model
Ken Aoki, Hiroyasu Nagashima, Yuichi Murayama
Journal of Stroke and Cerebrovascular Diseases (2025), pp. 108333-108333
Open Access
Recurrence rate of intracranial aneurysms: a systematic review and a meta-analysis comparing craniotomy and endovascular coiling
Gang Li
Neurosurgical Review (2025) Vol. 48, Iss. 1
Closed Access
Systematic Review of Radiomics and Artificial Intelligence in Intracranial Aneurysm Management
Monica‐Rae Owens, Samuel A. Tenhoeve, Clayton Rawson, et al.
Journal of Neuroimaging (2025) Vol. 35, Iss. 2
Open Access
Interpretable spatio-temporal prediction using Deep Neural Network - Local Interpretable Model-agnostic Explanations: A case study on leptospirosis outbreaks in Malaysia
Fariq Rahmat, Zed Zulkafli, Asnor Juraiza Ishak, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110665-110665
Closed Access
Risk factors and predictive indicators of rupture in cerebral aneurysms
X Wang, Xu Huang
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 1
Prediction and analysis of periprocedural complications associated with endovascular treatment for unruptured intracranial aneurysms using machine learning
Zhongbin Tian, Wenqiang Li, Xin Feng, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 4
Comprehensive Management of Intracranial Aneurysms Using Artificial Intelligence: An Overview
Jihao Xue, Haowen Zheng, Rui Lai, et al.
World Neurosurgery (2024)
Open Access
Machine learning model to predict 3-month nonunion(delayed union) of unstable distal clavicle fracture patients treated with open reduction and internal fixation
Changke Ma, Wei Lü, Limei Liang, et al.
Research Square (Research Square) (2024)
Open Access
A predictive model for the recurrence of intracranial aneurysms following coil embolization
Tao He, Kun Chen, Rudong Chen
Frontiers in Neurology (2023) Vol. 14
Open Access
Explainable Machine Learning Methods for Person-Based Prediction in Simulated and Real Datasets: Methodological Research
İrem KAR, Batuhan Bakırarar
Turkiye Klinikleri Journal of Biostatistics (2023) Vol. 15, Iss. 3, pp. 171-181
Open Access
Global trend in research of intracranial aneurysm management with artificial intelligence technology: a bibliometric analysis
Fujunhui Zhang, Mirzat Turhon, Jiliang Huang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 14, Iss. 1, pp. 1022-1038
Open Access
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