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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:

Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques
Paul Fergus, David Hignett, Abir Hussain, et al.
BioMed Research International (2015) Vol. 2015, pp. 1-17
Open Access | Times Cited: 151

Showing 51-75 of 151 citing articles:

Time-frequency image based features for classification of epileptic seizures from EEG signals
Varun Bajaj, Khushnandan Rai, Anil Kumar, et al.
Biomedical Physics & Engineering Express (2017) Vol. 3, Iss. 1, pp. 015012-015012
Closed Access | Times Cited: 25
Classification of EEG Signals for Epileptic Seizures Using Feature Dimension Reduction Algorithm based on LPP
Yang Liu, Bo Jiang, Jun Feng, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 20, pp. 30261-30282
Closed Access | Times Cited: 23
Automatic detection of epileptic seizures using Riemannian geometry from scalp EEG recordings
Atefeh Shariat, Asghar Zarei, Sanaz Ahmadi Karvigh, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 7-8, pp. 1431-1445
Closed Access | Times Cited: 20
Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions
Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1045-1056
Open Access | Times Cited: 18
Classification of Epileptic and Non-Epileptic Electroencephalogram (EEG) Signals Using Fractal Analysis and Support Vector Regression
G. Buchanna, P. Premchand, A. Govardhan
Emerging Science Journal (2022) Vol. 6, Iss. 1, pp. 138-150
Open Access | Times Cited: 13
Biogeography based hybrid scheme for automatic detection of epileptic seizures from EEG signatures
Rohtash Dhiman, J.S. Saini, Priyanka Singh
Applied Soft Computing (2016) Vol. 51, pp. 116-129
Closed Access | Times Cited: 22
Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics
Xiaojie Lu, Tingting Wang, Mingquan Ye, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
A Modified Gated Recurrent Unit Approach for Epileptic Electroencephalography Classification
Vinod Prakash, Dharmender Kumar
Journal of Information and Communication Technology (2023) Vol. 22, Iss. 4, pp. 587-617
Open Access | Times Cited: 6
Identification of Epileptic Seizures by Characterizing Instantaneous Energy Behavior of EEG
Xian Zhao, Renjie Zhang, Zhenning Mei, et al.
IEEE Access (2019) Vol. 7, pp. 70059-70076
Open Access | Times Cited: 18
Epileptic seizure classification from intracranial EEG signals: A comparative study EEG-based seizure classification
Md. Khayrul Bashar, Faruque Reza, Zamzuri Idris, et al.
(2016), pp. 96-101
Closed Access | Times Cited: 17
A Multistage Deep Residual Network for Biomedical Cyber-Physical Systems
Ankur Pandey, Ryan Sequeria, Preetam Kumar, et al.
IEEE Systems Journal (2019) Vol. 14, Iss. 2, pp. 1953-1962
Closed Access | Times Cited: 17
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information
Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6215-6225
Open Access | Times Cited: 13
Classifying epilepsy pragmatically: Past, present, and future
Nathan A. Shlobin, Gagandeep Singh, Charles R. Newton, et al.
Journal of the Neurological Sciences (2021) Vol. 427, pp. 117515-117515
Open Access | Times Cited: 13
Surface EEG based epileptic seizure detection using wavelet based features and dynamic mode decomposition power along with KNN classifier
Deba Prasad Dash, Maheshkumar H. Kolekar, Kamlesh Jha
Multimedia Tools and Applications (2021) Vol. 81, Iss. 29, pp. 42057-42077
Closed Access | Times Cited: 13
Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm
Ramendra Nath Bairagi, Md. Maniruzzaman, Suriya Pervin, et al.
Soft Computing Letters (2021) Vol. 3, pp. 100026-100026
Open Access | Times Cited: 13
Feature separation and adversarial training for the patient-independent detection of epileptic seizures
Yong Yang, Feng Li, Xiaolin Qin, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique
Sheng Wong, Anj Simmons, Jessica Rivera‐Villicana, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8375-8375
Open Access | Times Cited: 5
Automatic epileptic seizure detection based on persistent homology
Ziyu Wang, Feifei Liu, Shuhua Shi, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 5
A new method for epileptic seizure classification in EEG using adapted wavelet packets
Amirmasoud Ahmadi, Vahid Shalchyan, Mohammad Reza Daliri
(2017), pp. 1-4
Open Access | Times Cited: 16
Analysis of adaboost classifier from compressed EEG features for epilepsy detection
Harikumar Rajaguru, Sunil Kumar Prabhakar
(2017)
Closed Access | Times Cited: 16
EEG signals classification for epileptic detection
Essam H. Houssein, Aboul Ella Hassanien, Alaa A. K. Ismaeel
(2017), pp. 1-9
Closed Access | Times Cited: 14
Nonlinear analysis of EEG for seizure prediction
Sadaf Iqbal, Yusuf Uzzaman Khan, Omar Farooq
(2015), pp. 1-5
Closed Access | Times Cited: 12
Epileptic seizure detection using constrained singular spectrum analysis and 1D-local binary patterns
Sailendra Ramanna, Santosh Tirunagari, David Windridge
Health and Technology (2020) Vol. 10, Iss. 3, pp. 699-709
Closed Access | Times Cited: 12
Artificial Intelligence: Its Critical Role in the Diagnosis, Prophylaxis, and Therapy of Epilepsy
Lacey Marshall, Graham Lynn, Suhrud Pathak, et al.
(2024), pp. 87-106
Closed Access | Times Cited: 1
A hybrid unsupervised approach toward EEG epileptic spikes detection
Pegah Khosropanah, Abdul Rahman Ramli, Mohammad Reza Abbasi, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 7, pp. 2521-2532
Closed Access | Times Cited: 12

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