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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:

Auditory stimulation and deep learning predict awakening from coma after cardiac arrest
Florence M. Aellen, Sigurd L. Alnes, Fabian Loosli, et al.
Brain (2023) Vol. 146, Iss. 2, pp. 778-788
Open Access | Times Cited: 23

Showing 23 citing articles:

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges
Yohei Okada, Mayli Mertens, Nan Liu, et al.
Resuscitation Plus (2023) Vol. 15, pp. 100435-100435
Open Access | Times Cited: 24
Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury
Zade Akras, Jin Jing, M. Brandon Westover, et al.
Neurotherapeutics (2025), pp. e00524-e00524
Open Access | Times Cited: 1
Reconstructing Covert Consciousness
David Fischer, Brian L. Edlow, Holly J. Freeman, et al.
Neurology (2025) Vol. 104, Iss. 4
Closed Access | Times Cited: 1
Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients
Jeffrey R. Vitt, Shraddha Mainali
Seminars in Neurology (2024) Vol. 44, Iss. 03, pp. 342-356
Closed Access | Times Cited: 4
Detecting awareness after acute brain injury
Karnig Kazazian, Brian L. Edlow, Adrian M. Owen
The Lancet Neurology (2024) Vol. 23, Iss. 8, pp. 836-844
Closed Access | Times Cited: 4
Parallel EEG-fNIRS assessments of covert cognition in behaviorally non-responsive ICU patients: A multi-task feasibility study in a case of acute motor sensory axonal neuropathy
Geoffrey Laforge, Maryna Kolisnyk, Sergio L. Novi, et al.
Journal of Neurology (2025) Vol. 272, Iss. 2
Closed Access
High density EEG and deep learning improves outcome prediction on the first day of coma after cardiac arrest
Andria Pelentritou, Lyssia Gruaz, Manuela Iten, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Temporal Dynamics of Neural Synchrony and Complexity of Auditory EEG Responses in Post-Hypoxic Ischemic Coma
Sigurd L. Alnes, Florence M. Aellen, Thomas Rusterholz, et al.
Resuscitation (2025), pp. 110531-110531
Closed Access
Decoding Analyses Show Dynamic Waxing and Waning of Event-Related Potentials in Coma Patients
Adianes Herrera-Díaz, Rober Boshra, Richard Kolesar, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 189-189
Open Access
Evoked potentials in patients with disorders of consciousness
Christoph Leithner, Christian Endisch
Handbook of clinical neurology (2025), pp. 147-164
Closed Access
Neural complexity and the spectral slope characterise auditory processing in wakefulness and sleep
Sigurd L. Alnes, Lea Z. M. Bächlin, Kaspar Schindler, et al.
European Journal of Neuroscience (2023) Vol. 59, Iss. 5, pp. 822-841
Closed Access | Times Cited: 9
Recent advances in clinical electroencephalography
Birgit Frauscher, Andrea O. Rossetti, Sándor Beniczky
Current Opinion in Neurology (2024) Vol. 37, Iss. 2, pp. 134-140
Closed Access | Times Cited: 3
EEG for good outcome prediction after cardiac arrest: A multicentre cohort study
Sara Turella, Josef Dankiewicz, Nawfel Ben‐Hamouda, et al.
Resuscitation (2024) Vol. 202, pp. 110319-110319
Open Access | Times Cited: 3
Neuromonitoring in the ICU – what, how and why?
Rohan Mathur, Geert Meyfroidt, Chiara Robba, et al.
Current Opinion in Critical Care (2024) Vol. 30, Iss. 2, pp. 99-105
Closed Access | Times Cited: 2
Neuroprognostication after cardiac arrest: what the cardiologist should know
Daniel Kondziella
European Heart Journal Acute Cardiovascular Care (2023) Vol. 12, Iss. 8, pp. 550-558
Open Access | Times Cited: 5
Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications
Frédéric Zubler, Athina Tzovara
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 5
Electroencephalogram-based machine learning models to predict neurologic outcome after cardiac arrest: A systematic review
Chao‐Chen Chen, Shavonne L. Massey, Matthew P. Kirschen, et al.
Resuscitation (2023) Vol. 194, pp. 110049-110049
Open Access | Times Cited: 3
Neural complexity and the spectral slope characterize auditory processing in wakefulness and sleep
Sigurd L. Alnes, Lea Z. M. Bächlin, Kaspar Schindler, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Saccade size predicts onset time of object processing during visual search of an open world virtual environment
Stephen M. Gordon, Bianca Dalangin, Jonathan Touryan
NeuroImage (2024) Vol. 298, pp. 120781-120781
Open Access
Towards a Universal Map of EEG: A semantic, low- dimensional manifold for EEG Classification, Clustering and Prognostication
Laura Krumm, D Kranz, Mustafa Halimeh, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation
Yi Yang, Tian-Wen Cao, Shenghong He, et al.
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access
Algoritmos genéticos e aprendizado profundo baseado em redes neurais recorrentes do tipo LSTM para auxílio ao diagnóstico médico
Sergio Baldo Júnior
(2023)
Open Access
On the path to artificial intelligence analysis of brain CT after cardiac arrest
Martin Kenda, Christoph Leithner
Resuscitation (2023) Vol. 191, pp. 109947-109947
Closed Access
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