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:
An Artificial Neural Network Prediction Model for Posttraumatic Epilepsy: Retrospective Cohort Study
Xueping Wang, Jie Zhong, Ting Lei, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 8, pp. e25090-e25090
Open Access | Times Cited: 7
Xueping Wang, Jie Zhong, Ting Lei, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 8, pp. e25090-e25090
Open Access | Times Cited: 7
Showing 7 citing articles:
A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study
Cheng Fang, Yifeng Pan, Luotong Zhao, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e41819-e41819
Open Access | Times Cited: 23
Cheng Fang, Yifeng Pan, Luotong Zhao, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e41819-e41819
Open Access | Times Cited: 23
Combining clinical-radiomics features with machine learning methods for building models to predict postoperative recurrence in patients with chronic subdural hematoma: Retrospective Cohort Study (Preprint)
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54944-e54944
Open Access | Times Cited: 4
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54944-e54944
Open Access | Times Cited: 4
Online interpretable dynamic prediction models for postoperative delirium after cardiac surgery under cardiopulmonary bypass developed based on machine learning algorithms: A retrospective cohort study
Xiuxiu Zhao, Junlin Li, Xianhai Xie, et al.
Journal of Psychosomatic Research (2023) Vol. 176, pp. 111553-111553
Closed Access | Times Cited: 5
Xiuxiu Zhao, Junlin Li, Xianhai Xie, et al.
Journal of Psychosomatic Research (2023) Vol. 176, pp. 111553-111553
Closed Access | Times Cited: 5
Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study
Hui Dang, Wenlong Su, Zhiqing Tang, et al.
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 2
Hui Dang, Wenlong Su, Zhiqing Tang, et al.
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 2
Construction of a predictive model based on MIV-SVR for prognosis and length of stay in patients with traumatic brain injury: Retrospective cohort study
Yifeng Pan, Cheng Fang, Xueling Zhu, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 2
Yifeng Pan, Cheng Fang, Xueling Zhu, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 2
A nomogram to predict the treatment benefit of perampanel in drug-resistant epilepsy patients
Chaofeng Zhu, Juan Li, Dazhu Wei, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access
Chaofeng Zhu, Juan Li, Dazhu Wei, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access
Combining clinical-radiomics features with machine learning methods for building models to predict postoperative recurrence in patients with chronic subdural hematoma: Retrospective Cohort Study (Preprint)
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
(2023)
Closed Access
Cheng Fang, Xiao Ji, Yifeng Pan, et al.
(2023)
Closed Access
