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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:

Seizure forecasting using minimally invasive, ultra‐long‐term subcutaneous EEG: Generalizable cross‐patient models
Tal Pal Attia, Pedro F. Viana, Mona Nasseri, et al.
Epilepsia (2022) Vol. 64, Iss. S4
Open Access | Times Cited: 21

Showing 21 citing articles:

Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Fábio Lopes, Adriana Leal, Mauro F. Pinto, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study
Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, et al.
EBioMedicine (2023) Vol. 93, pp. 104656-104656
Open Access | Times Cited: 14
Comparison between epileptic seizure prediction and forecasting based on machine learning
Gonçalo Costa, César Teixeira, Mauro F. Pinto
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Seizure forecasting: Where do we stand?
Ralph G. Andrzejak, Hitten P. Zaveri, Andreas Schulze‐Bonhage, et al.
Epilepsia (2023) Vol. 64, Iss. S3
Open Access | Times Cited: 11
Ambulatory seizure detection
Adriano Bernini, Jonathan Dan, Philippe Ryvlin
Current Opinion in Neurology (2024) Vol. 37, Iss. 2, pp. 99-104
Open Access | Times Cited: 4
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
The spectrum of indications for ultralong-term EEG monitoring
Rodrigo Rocamora, C. Baumgartner, Yulia Novitskaya, et al.
Seizure (2024) Vol. 121, pp. 262-270
Open Access | Times Cited: 3
Prediction of epilepsy surgery outcome using foramen ovale EEG – A machine learning approach
Gadi Miron, Paul Manuel Müller, Martin Holtkamp, et al.
Epilepsy Research (2023) Vol. 191, pp. 107111-107111
Closed Access | Times Cited: 7
Concept-Drifts Adaptation For Machine Learning EEG Epilepsy Seizure Prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Perceived seizure risk in epilepsy: Chronic electronic surveys with and without concurrent electroencephalography
Jie Cui, Irena Balzekas, Ewan S. Nurse, et al.
Epilepsia (2023) Vol. 64, Iss. 9, pp. 2421-2433
Open Access | Times Cited: 4
Novel subscalp and intracranial devices to wirelessly record and analyze continuous EEG in unsedated, behaving dogs in their natural environments: A new paradigm in canine epilepsy research
Wolfgang Löscher, Gregory A. Worrell
Frontiers in Veterinary Science (2022) Vol. 9
Open Access | Times Cited: 3
Comparative subcutaneous and submuscular implantation of an electroencephalography device for long term electroencephalographic monitoring in dogs
Casey Beatrice Rogers, Sebastian Meller, Nina Meyerhoff, et al.
Frontiers in Veterinary Science (2024) Vol. 11
Open Access
Editorial: Seizure forecasting tools, biomarkers and devices
Mona Nasseri, Caitlin L. Grzeskowiak, Benjamin H. Brinkmann, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Seizure forecasting with ultra long-term EEG signals
Hongliu Yang, Jens Müller, Matthias Eberlein, et al.
Clinical Neurophysiology (2024) Vol. 167, pp. 211-220
Open Access
Using Long Short-Term Memory (LSTM) recurrent neural networks to classify unprocessed EEG for seizure prediction
Jordan D. Chambers, Mark Cook, Anthony N. Burkitt, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Mobile health and digital technology in epilepsy: The dawn of a new era
Sándor Beniczky, Philippe Ryvlin
Epilepsia (2023) Vol. 64, Iss. S4
Closed Access | Times Cited: 1
Forecasting Seizure Likelihood from Cycles of Self-Reported Events and Heart Rate: A Prospective Pilot Study
Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Perceived seizure risk in epilepsy – Chronic electronic surveys with and without concurrent EEG
Jie Cui, Irena Balzekas, Ewan S. Nurse, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Getting Under the Skin of Seizure Monitoring: A Subcutaneous EEG Tool to Keep a Tally Over the Long Haul
Ioannis Karakis
Epiliepsy currents/Epilepsy currents (2023) Vol. 23, Iss. 6, pp. 351-353
Open Access
Application of artificial intelligence frameworks in the clinical practice of neurology: recent advances and future directions
Nick Corriveau‐Lecavalier, Filip Mívalt, David T. Jones
Elsevier eBooks (2023), pp. 169-176
Closed Access
Seizure Forecasting with Non-invasive and Minimally Invasive Mobile Devices: The Epilepsy Foundation’s My Seizure Gauge Study
Pedro F. Viana, Ewan S. Nurse, Mona Nasseri, et al.
EMJ Neurology (2022), pp. 35-38
Open Access
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