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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:

Combined Radiomics Model for Prediction of Hematoma Progression and Clinical Outcome of Cerebral Contusions in Traumatic Brain Injury
Liqiong Zhang, Qiyuan Zhuang, Guoqing Wu, et al.
Neurocritical Care (2021) Vol. 36, Iss. 2, pp. 441-451
Closed Access | Times Cited: 15

Showing 15 citing articles:

Predicting Hematoma Expansion and Prognosis in Cerebral Contusions: A Radiomics-Clinical Approach
Haoyue He, Jinxin Liu, Chuanming Li, et al.
Journal of Neurotrauma (2024) Vol. 41, Iss. 11-12, pp. 1337-1352
Closed Access | Times Cited: 10
Evaluation of CT and MRI Radiomics for an Early Assessment of Diffuse Axonal Injury in Patients with Traumatic Brain Injury Compared to Conventional Radiological Diagnosis
Anna-Katharina Meißner, Robin Gutsche, Lenhard Pennig, et al.
Clinical Neuroradiology (2025)
Open Access
Development and validation of intracranial hypertension prediction models based on radiomic features in patients with traumatic brain injury: an exploratory study based on CENTER-TBI data
Yingchi Shan, Yajun Xue, Jun Zhu, et al.
Critical Care (2025) Vol. 29, Iss. 1
Open Access
Predicting long-term outcomes in patients with classical trigeminal neuralgia following microvascular decompression with an MRI-based radiomics nomogram: a multicentre study
Shuo Li, Hongjin Chen, Jiahao Chen, et al.
European Radiology (2024) Vol. 34, Iss. 11, pp. 7349-7361
Closed Access | Times Cited: 3
Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters
Yun‐Ju Shih, Yan-Lin Liu, Jeon‐Hor Chen, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1677-1677
Open Access | Times Cited: 13
A clinical-radiomics based nomogram to predict progressive intraparenchymal hemorrhage in mild to moderate traumatic injury patients
Xiaoyu Wei, Xiaoqiang Tang, Deshu You, et al.
European Journal of Radiology (2023) Vol. 163, pp. 110785-110785
Closed Access | Times Cited: 6
A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression
Jiangtao Sheng, Weiqiang Chen, Dongzhou Zhuang, et al.
Neurology and Therapy (2021) Vol. 11, Iss. 1, pp. 185-203
Open Access | Times Cited: 12
Whole-brain traumatic controlled cortical impact to the left frontal lobe: Magnetic resonance image-based texture analysis
Saleh T. Alanezi, Waleed Almutairi, Michelle Cronin, et al.
Journal of Neuropathology & Experimental Neurology (2024) Vol. 83, Iss. 2, pp. 94-106
Closed Access | Times Cited: 1
Preventive strategies for feeding intolerance among patients with severe traumatic brain injury: A cross-sectional survey
Yuli Fang, Yuanyuan Ma, He Haiyan, et al.
International Journal of Nursing Sciences (2022) Vol. 9, Iss. 3, pp. 278-285
Open Access | Times Cited: 5
Non-Invasive Assessment of Intracranial Hypertension in Patients with Traumatic Brain Injury Using Computed Tomography Radiomic Features: A Pilot Study
Yihua Li, Guoqing Zhang, Yingchi Shan, et al.
Journal of Neurotrauma (2022) Vol. 40, Iss. 3-4, pp. 250-259
Open Access | Times Cited: 4
Diffusion Kurtosis Imaging and Radiomics in Diffuse Axonal Injury
R. M. Afandiev, Н. Е. Захарова, Gleb Danilov, et al.
Radiology - Practice (2024), Iss. 1, pp. 51-65
Open Access
An updated review for clinical and radiological predictors of acute intraparenchymal hematoma progression in cerebral contusion
Gui-Hai Chen, Huibin Kang
Heliyon (2024) Vol. 10, Iss. 21, pp. e39907-e39907
Open Access
Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma
Mingzhe Wu, Pengfei Wang, Hao Cheng, et al.
International Journal of Legal Medicine (2024)
Closed Access
Predicting Hypoproteinemia in Patients with Traumatic Brain Injury:Using Radiomics Features on Computed Tomography Combined with Clinical Factors . (Preprint)
Yan Zhang, Yuping Li, Yong’An Jiang, et al.
(2024)
Closed Access
Development of a Deep Learning–Based Intracerebral Hemorrhage Segmentation Model and Glasgow Outcome Scale Prediction Model Using Brain CT Images
Won-Jun Park, Young-Jin Kim, Sumin Kim, et al.
Research Square (Research Square) (2023)
Open Access
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