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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:

Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier
S. Raghu, N. Sriraam, G. Pradeep Kumar
Cognitive Neurodynamics (2016) Vol. 11, Iss. 1, pp. 51-66
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

EEG based multi-class seizure type classification using convolutional neural network and transfer learning
S. Raghu, N. Sriraam, Yasin Temel, et al.
Neural Networks (2020) Vol. 124, pp. 202-212
Open Access | Times Cited: 315
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms
S. Raghu, N. Sriraam
Expert Systems with Applications (2018) Vol. 113, pp. 18-32
Closed Access | Times Cited: 203
EEG classification of driver mental states by deep learning
Hong Zeng, Yang Chen, Guojun Dai, et al.
Cognitive Neurodynamics (2018) Vol. 12, Iss. 6, pp. 597-606
Open Access | Times Cited: 178
Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, et al.
IEEE Access (2019) Vol. 7, pp. 171431-171451
Open Access | Times Cited: 163
Complex networks and deep learning for EEG signal analysis
Zhongke Gao, Weidong Dang, Xinmin Wang, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 3, pp. 369-388
Open Access | Times Cited: 157
An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
Wenna Chen, Yixing Wang, Yuhao Ren, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 44
A novel approach for classification of epileptic seizures using matrix determinant
S. Raghu, N. Sriraam, Alangar Sathyaranjan Hegde, et al.
Expert Systems with Applications (2019) Vol. 127, pp. 323-341
Closed Access | Times Cited: 98
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier
S. Raghu, N. Sriraam, Yasin Temel, et al.
Computers in Biology and Medicine (2019) Vol. 110, pp. 127-143
Open Access | Times Cited: 94
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier
N. Sriraam, S. Raghu
Journal of Medical Systems (2017) Vol. 41, Iss. 10
Closed Access | Times Cited: 93
The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method
Milena Čukić, Miodrag Stokić, S Simić, et al.
Cognitive Neurodynamics (2020) Vol. 14, Iss. 4, pp. 443-455
Open Access | Times Cited: 92
Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform
S. Thomas George, M. S. P. Subathra, N. J. Sairamya, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 2, pp. 709-728
Closed Access | Times Cited: 82
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Hanan Al‐Hadeethi, Shahab Abdulla, Mohammed Diykh, et al.
Expert Systems with Applications (2020) Vol. 161, pp. 113676-113676
Closed Access | Times Cited: 73
A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Shitong Mao, Ervin Sejdić
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 6983-7003
Open Access | Times Cited: 51
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures
S. Raghu, N. Sriraam
Expert Systems with Applications (2017) Vol. 89, pp. 205-221
Closed Access | Times Cited: 85
A novel optimized GA–Elman neural network algorithm
Weikuan Jia, Dean Zhao, Yuanjie Zheng, et al.
Neural Computing and Applications (2017) Vol. 31, Iss. 2, pp. 449-459
Closed Access | Times Cited: 68
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals
Yassin Khalifa, Danilo P. Mandic, Ervin Sejdić
Information Fusion (2020) Vol. 69, pp. 52-72
Open Access | Times Cited: 55
A Novel Approach for Real-Time Recognition of Epileptic Seizures Using Minimum Variance Modified Fuzzy Entropy
S. Raghu, N. Sriraam, G. Pradeep Kumar, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 65, Iss. 11, pp. 2612-2621
Closed Access | Times Cited: 58
Elman Neural Network Soft-Sensor Model of Conversion Velocity in Polymerization Process Optimized by Chaos Whale Optimization Algorithm
Wenjie Sun, Jie-Sheng Wang
IEEE Access (2017) Vol. 5, pp. 13062-13076
Open Access | Times Cited: 55
Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG
S. Raghu, N. Sriraam, Shyam Vasudeva Rao, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 13, pp. 8965-8984
Closed Access | Times Cited: 52
Artificial Intelligence in Epilepsy
Taranjit Kaur, Anirudra Diwakar, Kirandeep Kirandeep, et al.
Neurology India (2021) Vol. 69, Iss. 3, pp. 560-566
Closed Access | Times Cited: 38
Detection and classification of epileptic EEG signals by the methods of nonlinear dynamics
Xiaojie Lu, Jiqian Zhang, Shoufang Huang, et al.
Chaos Solitons & Fractals (2021) Vol. 151, pp. 111032-111032
Closed Access | Times Cited: 34
Diagnosis of Epileptic Seizures from electroencephalogram Signals using Log-Mel Spectrogram and a deep Learning CNN Model
Beaudelaire Saha Tchinda, Daniel Tchiotsop, Laurent Chanel Djoufack Nkengfack, et al.
Heliyon (2025), pp. e42993-e42993
Open Access
BCI oriented EEG analysis using log energy entropy of wavelet packets
Hüseyin Göksu
Biomedical Signal Processing and Control (2018) Vol. 44, pp. 101-109
Closed Access | Times Cited: 46
A convolutional neural network based framework for classification of seizure types
S. Raghu, N. Sriraam, Yasin Temel, et al.
(2019), pp. 2547-2550
Closed Access | Times Cited: 42
Transition of brain networks from an interictal to a preictal state preceding a seizure revealed by scalp EEG network analysis
Fali Li, Yi Liang, Luyan Zhang, et al.
Cognitive Neurodynamics (2019) Vol. 13, Iss. 2, pp. 175-181
Open Access | Times Cited: 36
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