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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 prediction — ready for a new era
Levin Kuhlmann, Klaus Lehnertz, Mark P. Richardson, et al.
Nature Reviews Neurology (2018) Vol. 14, Iss. 10, pp. 618-630
Closed Access | Times Cited: 369

Showing 1-25 of 369 citing articles:

An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
Zeitschrift für Medizinische Physik (2018) Vol. 29, Iss. 2, pp. 102-127
Open Access | Times Cited: 978
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 139-155
Open Access | Times Cited: 255
Wearable and Flexible Textile Electrodes for Biopotential Signal Monitoring: A review
Gizem Acar, Özberk Öztürk, Ata Golparvar, et al.
Electronics (2019) Vol. 8, Iss. 5, pp. 479-479
Open Access | Times Cited: 250
Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
Christian Bick, Marc Goodfellow, Carlo R. Laing, et al.
The Journal of Mathematical Neuroscience (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 229
Cycles in epilepsy
Philippa J. Karoly, Vikram R. Rao, Nicholas M. Gregg, et al.
Nature Reviews Neurology (2021) Vol. 17, Iss. 5, pp. 267-284
Closed Access | Times Cited: 202
Critical slowing down as a biomarker for seizure susceptibility
Matias I. Maturana, Christian Meisel, Katrina L. Dell, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 193
Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification
Yunyuan Gao, Bo Gao, Qiang Chen, et al.
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 158
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik
Physics Reports (2021) Vol. 918, pp. 1-133
Closed Access | Times Cited: 152
A new era in electroencephalographic monitoring? Subscalp devices for ultra–long‐term recordings
Jonas Duun‐Henriksen, Maxime O. Baud, Mark P. Richardson, et al.
Epilepsia (2020) Vol. 61, Iss. 9, pp. 1805-1817
Open Access | Times Cited: 146
Forecasting seizure risk in adults with focal epilepsy: a development and validation study
Timothée Proix, Wilson Truccolo, Marc G. Leguia, et al.
The Lancet Neurology (2020) Vol. 20, Iss. 2, pp. 127-135
Open Access | Times Cited: 145
Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 9377-9388
Open Access | Times Cited: 119
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction
Yang Li, Yu Liu, Yuzhu Guo, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 11, pp. 12189-12204
Closed Access | Times Cited: 109
Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features
Kuldeep Singh, Jyoteesh Malhotra
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2405-2418
Open Access | Times Cited: 70
Dynamical properties and mechanisms of metastability: A perspective in neuroscience
Kalel L. Rossi, Roberto C. Budzinski, Everton S. Medeiros, et al.
Physical review. E (2025) Vol. 111, Iss. 2
Open Access | Times Cited: 1
Seizure Prediction in Scalp EEG Using 3D Convolutional Neural Networks With an Image-Based Approach
Ahmet Remzi Özcan, Sarp Ertürk
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 11, pp. 2284-2293
Closed Access | Times Cited: 143
An update for epilepsy research and antiepileptic drug development: Toward precise circuit therapy
Yi Wang, Chen Zhong
Pharmacology & Therapeutics (2019) Vol. 201, pp. 77-93
Closed Access | Times Cited: 126
Machine learning and wearable devices of the future
Sándor Beniczky, Philippa J. Karoly, Ewan S. Nurse, et al.
Epilepsia (2020) Vol. 62, Iss. S2
Open Access | Times Cited: 122
Forecasting cycles of seizure likelihood
Philippa J. Karoly, Mark Cook, Matias I. Maturana, et al.
Epilepsia (2020) Vol. 61, Iss. 4, pp. 776-786
Open Access | Times Cited: 103
Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting
Christian Meisel, Rima El Atrache, Michele Jackson, et al.
Epilepsia (2020) Vol. 61, Iss. 12, pp. 2653-2666
Open Access | Times Cited: 100
FitzHugh–Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena
Moritz Gerster, Rico Berner, Jakub Sawicki, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 12
Open Access | Times Cited: 97
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic
Benjamin H. Brinkmann, Philippa J. Karoly, Ewan S. Nurse, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 97
Statistical Properties and Predictability of Extreme Epileptic Events
Nikita Frolov, Vadim Grubov, Vladimir Maksimenko, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 94
Seizure forecasting and cyclic control of seizures
Rachel E. Stirling, Mark Cook, David B. Grayden, et al.
Epilepsia (2020) Vol. 62, Iss. S1
Open Access | Times Cited: 90
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection
Punnawish Thuwajit, Phurin Rangpong, Phattarapong Sawangjai, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5547-5557
Closed Access | Times Cited: 89
What is brain health and why is it important?
Yongjun Wang, Yuesong Pan, Hao Li
BMJ (2020), pp. m3683-m3683
Open Access | Times Cited: 88
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