Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Time-domain exponential energy for epileptic EEG signal classification
O. K. Fasil, R. Rajesh
Neuroscience Letters (2018) Vol. 694, pp. 1-8
Closed Access | Times Cited: 96

Showing 51-75 of 96 citing articles:

A hybrid complex-valued neural network framework with applications to electroencephalogram (EEG)
Hang Du, Rebecca Pillai Riddell, Xiaogang Wang
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104862-104862
Open Access | Times Cited: 3
Classification of Electroencephalogram Signals Using LSTM and SVM Based on Fast Walsh-Hadamard Transform
Saeed Mohsen, Sherif S. M. Ghoneim, Mohammed S. Alzaidi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 3, pp. 5271-5286
Open Access | Times Cited: 3
Automated Detection of Seizure and Nonseizure EEG Signals Using Two Band Biorthogonal Wavelet Filter Banks
Dinesh Bhati, Ram Bilas Pachori, Manish Sharma, et al.
Series in bioengineering (2019), pp. 137-155
Open Access | Times Cited: 8
A Comparative Analysis of Machine Learning Techniques for Epileptic Seizure Detection and Classification
Indrani Bhattacherjee
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 310-317
Closed Access | Times Cited: 5
A Novel Wavelet Approach for Multiclass iEEG Signal Classification in Automated Diagnosis of Epilepsy
Nidal Rafiuddin, Yusuf Uzzaman Khan, Omar Farooq
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 5
Advances in Neural Signal Processing
Ramana Vinjamuri, Fabio Marson, Patrizio Paoletti, et al.
IntechOpen eBooks (2020)
Open Access | Times Cited: 7
A natural evolution optimization based deep learning algorithm for neurological disorder classification
Maha Shams, Alaa Sagheer
Bio-Medical Materials and Engineering (2020) Vol. 31, Iss. 2, pp. 73-94
Closed Access | Times Cited: 6
Electrocardiogram based Gender Classification
Muhammad Umar Khan, Muhammad Hafiz Md Saad, Sumair Aziz, et al.
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (2020), pp. 1-6
Closed Access | Times Cited: 6
Development of single-channel electroencephalography signal analysis model for real-time drowsiness detection
Venkata Phanikrishna Balam, Suchismitha Chinara
Physical and Engineering Sciences in Medicine (2021) Vol. 44, Iss. 3, pp. 713-726
Closed Access | Times Cited: 6
Residual Current Detection Method Based on Variational Modal Decomposition and Dynamic Fuzzy Neural Network
Xiangke Zhang, Zhenming Liu, Yajing Wang, et al.
IEEE Access (2021) Vol. 9, pp. 142925-142937
Open Access | Times Cited: 6
Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing
Yoelvis Moreno-Alcayde, V. Javier Traver, Luis A. Leiva
Biomedical Engineering Letters (2023) Vol. 14, Iss. 1, pp. 103-113
Open Access | Times Cited: 2
Parameterized aperiodic and periodic components of single-channel EEG enables reliable seizure detection
Jiahui Liao, Jun Wang, Chang’an A. Zhan, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 47, Iss. 1, pp. 31-47
Closed Access | Times Cited: 2
Classification of Epileptic EEG Signals Using Improved Atomic Search Optimization Algorithm
Madhu N. Belur, Gopala Gowda, Naveen Kumar Boraiah, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 134-144
Open Access | Times Cited: 2
A review of automatic detection of epilepsy based on EEG signals
Qirui Ren, Xiaofan Sun, Xiangqu Fu, et al.
Journal of Semiconductors (2023) Vol. 44, Iss. 12, pp. 121401-121401
Closed Access | Times Cited: 2
Automatic detection of naturally occurring epilepsy in dogs using intracranial electroencephalogram signals
Fasil O.K., R. Rajesh
Procedia Computer Science (2020) Vol. 171, pp. 91-100
Open Access | Times Cited: 5
Epileptic EEG Signal Classification using Exponential Energy and SVM
Premananda Mishra, Sanjay Agrawal, Rutuparna Panda
(2020), pp. 231-235
Closed Access | Times Cited: 4
Epilepsy disorder detection and diagnosis using empirical mode decomposition and deep learning architecture
R Srinath, R. Gayathri
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 11
Closed Access | Times Cited: 3
Hybrid ensemble learning framework for epileptic seizure detection using electroencephalograph signals
Chetana Rachappa, K. Mahantesh, Vidhyashree Nagaraju
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 28, Iss. 3, pp. 1502-1502
Open Access | Times Cited: 3
EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network
Jianzhuo Yan, Jinnan Li, Hongxia Xu, et al.
Lecture notes in computer science (2021), pp. 463-473
Closed Access | Times Cited: 4
V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges
Zhekai Ming, Dan Chen, Tengfei Gao, et al.
Neural Networks (2024) Vol. 172, pp. 106136-106136
Closed Access
Hyperdimensional Computing with Multi-Scale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection
Yipeng Du, Yuan Ren, Ngai Wong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 26046-26061
Closed Access
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals
Congshan Sun, Cong Xu, Hongwei Li, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Unveiling the epilepsy enigma: an agile and optimal machine learning approach for detecting inter-ictal state from electroencephalogram signals
Shoibolina Kaushik, Mamatha Balachandra, Diana Olivia, et al.
International Journal of Information Technology (2024) Vol. 16, Iss. 8, pp. 5149-5172
Open Access
Epilepsy Disease Detection Using the Proposed CNN-FCM Approach
R. Srinath, R. Gayathri, C. Shalini, et al.
Lecture notes in networks and systems (2024), pp. 371-380
Closed Access
Phase spectrogram of EEG from S-transform Enhances epileptic seizure detection
Yingjian Liu, Guoyang Liu, Shibin Wu, et al.
Expert Systems with Applications (2024), pp. 125621-125621
Closed Access

Scroll to top