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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:

Demystifying the Black Box: The Importance of Interpretability of Predictive Models in Neurocritical Care
Laura Moss, David Corsar, Martin Shaw, et al.
Neurocritical Care (2022) Vol. 37, Iss. S2, pp. 185-191
Open Access | Times Cited: 18

Showing 18 citing articles:

Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 31
Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit
Johnny Dang, Amos Lal, Amy Montgomery, et al.
BMC Neurology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 15
Evaluation of nutritional status and clinical depression classification using an explainable machine learning method
Payam Hosseinzadeh Kasani, Jung Eun Lee, Chihyun Park, et al.
Frontiers in Nutrition (2023) Vol. 10
Open Access | Times Cited: 13
Challenges for Ethics Review Committees in Regulating Medical Artificial Intelligence Research
Alireza Esmaili, Amirhossein Rahmani, Abolhasan Alijanpour, et al.
Indian Journal of Surgical Oncology (2025)
Closed Access
Accelerated and Interpretable Oblique Random Survival Forests
Byron C. Jaeger, Sawyer Welden, Kristin M. Lenoir, et al.
Journal of Computational and Graphical Statistics (2023) Vol. 33, Iss. 1, pp. 192-207
Open Access | Times Cited: 11
Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU
Andrea Sikora, Tianyi Zhang, David J. Murphy, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives
Keke Qin, Wu Huang, Tao Zhang, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 8095-8196
Closed Access | Times Cited: 12
Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction
Kelli Keats, Shiyuan Deng, Xianyan Chen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine Learning Identifies Variation in Timing of Palliative Care Consultations Among Traumatic Brain Injury Patients
Carlos A. Aude, Vikas N. Vattipally, Oishika Das, et al.
(2024)
Open Access | Times Cited: 1
From bed to bench and back again: Challenges facing deployment of intracranial pressure data analysis in clinical environments
Laura Moss, Martin Shaw, Ian Piper, et al.
Brain and Spine (2024) Vol. 4, pp. 102858-102858
Open Access | Times Cited: 1
Machine Learning Reveals Demographic Disparities in Palliative Care Timing Among Patients With Traumatic Brain Injury Receiving Neurosurgical Consultation
Carlos A. Aude, Vikas N. Vattipally, Oishika Das, et al.
Neurocritical Care (2024)
Closed Access | Times Cited: 1
Comparative effectiveness of explainable machine learning approaches for extrauterine growth restriction classification in preterm infants using longitudinal data
Kee Hyun Cho, Eun Sun Kim, Jong Wook Kim, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 3
Navigating the Ocean of Big Data in Neurocritical Care
Rajat Dhar, Geert Meyfroidt
Neurocritical Care (2022) Vol. 37, Iss. S2, pp. 157-159
Open Access | Times Cited: 3
Skin cancer diagnosis using the deep learning advancements: a technical review
Shailja Pandey, Gaurav Kant Shankhdhar
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 3, pp. 1847-1856
Open Access
Advancements in Medical Imaging
Veena Grover, Purnima Pal, Manju Nandal
Advances in healthcare information systems and administration book series (2024), pp. 106-123
Closed Access
Multiple imputation integrated to machine learning: predicting post-stroke recovery of ambulation after intensive inpatient rehabilitation
Alice Finocchi, Silvia Campagnini, Andrea Mannini, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deployment of Artificial Intelligence in Neuro Critical Care
Krishnan Ganapathy
Telehealth and Medicine Today (2024) Vol. 9, Iss. 3
Open Access
International e-Delphi survey to define best practice in the reporting of intracranial pressure monitoring recording data
Maya Kommer, Christopher Hawthorne, Laura Moss, et al.
Brain and Spine (2024) Vol. 4, pp. 102860-102860
Open Access
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