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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:

Selection of optimal wavelet features for epileptic EEG signal classification with LSTM
Ibrahim Aliyu, Chang Gyoon Lim
Neural Computing and Applications (2021) Vol. 35, Iss. 2, pp. 1077-1097
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

Assessment of Virtual Reality Motion Sickness Severity Based on EEG via LSTM/BiLSTM
Chengcheng Hua, Lining Chai, Ying Yan, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24839-24848
Closed Access | Times Cited: 9
Association of Visual-Based Signals with Electroencephalography Patterns in Enhancing the Drowsiness Detection in Drivers with Obstructive Sleep Apnea
R. S. Minhas, N Peker, Mustafa Abdullah Hakkoz, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2625-2625
Open Access | Times Cited: 3
An Efficient Hybrid Model for Patient-Independent Seizure Prediction Using Deep Learning
Rowan Ihab Halawa, Sherin M. Youssef, Mazen Nabil Elagamy
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5516-5516
Open Access | Times Cited: 14
Combining data augmentation and deep learning for improved epilepsy detection
Yandong Ru, Zheng Wei, Gaoyang An, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 2
Emotion Detection Using Deep Normalized Attention-Based Neural Network and Modified-Random Forest
Shtwai Alsubai
Sensors (2022) Vol. 23, Iss. 1, pp. 225-225
Open Access | Times Cited: 11
Downsampling of EEG Signals for Deep Learning-Based Epilepsy Detection
Yayan Pan, Fangying Dong, Jian-Xiang Wu, et al.
IEEE Sensors Letters (2023) Vol. 7, Iss. 12, pp. 1-4
Closed Access | Times Cited: 6
Adaptive Machine-Learning-Based Transmission Line Fault Detection and Classification Connected to Inverter-Based Generators
Khalfan Al Kharusi, Abdelsalam El Haffar, Mostefa Mesbah
Energies (2023) Vol. 16, Iss. 15, pp. 5775-5775
Open Access | Times Cited: 6
Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks
Manali Saini, Udit Satija, Madhur Deo Upadhayay
Circuits Systems and Signal Processing (2022) Vol. 41, Iss. 10, pp. 5827-5855
Closed Access | Times Cited: 9
An Intelligent Epileptic Prediction System Based on Synchrosqueezed Wavelet Transform and Multi-Level Feature CNN for Smart Healthcare IoT
Kunpeng Song, Jiajia Fang, Lei Zhang, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6458-6458
Open Access | Times Cited: 9
Positional multi-length and mutual-attention network for epileptic seizure classification
Guokai Zhang, Aimin Zhang, Huan Liu, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
MAC: EPILEPSY EEG SIGNAL RECOGNITION BASED ON THE MLP-SELF-ATTENTION MODEL AND COSINE DISTANCE
Peijuan Li, Yiting Liu, Wei Cai, et al.
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 02
Open Access | Times Cited: 1
EEG-based Epileptic Seizure Detection using Deep Learning Techniques: A Survey
Jie Xu, K.Q. Yan, Zengqian Deng, et al.
Neurocomputing (2024), pp. 128644-128644
Closed Access | Times Cited: 1
Advances in non-invasive EEG-based brain-computer interfaces: Signal acquisition, processing, emerging approaches, and applications
Shiu Kumar, Alok Sharma
Elsevier eBooks (2024), pp. 281-310
Closed Access | Times Cited: 1
MSSTNet: A multi-stream time-distributed spatio-temporal deep learning model to detect mind wandering from electroencephalogram signals
Subrata Pain, Subhrasankar Chatterjee, Monalisa Sarma, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 110005-110005
Closed Access | Times Cited: 1
Automatic epileptic seizure detection based on EEG using a moth-flame optimization of one-dimensional convolutional neural networks
Baozeng Wang, Xingyi Yang, Siwei Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 3
Fr-WCSO- DRN: Fractional Water Cycle Swarm Optimizer-Based Deep Residual Network for Pulmonary Abnormality Detection from Respiratory Sound Signals
Jawad Ahmad Dar, Kamal Kr Srivastava, Sajaad Ahmed Lone
SN Computer Science (2022) Vol. 3, Iss. 5
Open Access | Times Cited: 5
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
Denoising Semi-simulated EEG Signal Contaminated Ocular Noise using Various Wavelet Filters
Syarifah Noor Syakiylla Sayed Daud, Rubita Sudirman, Nasrul Humaimi Mahmood, et al.
(2022), pp. 452-457
Closed Access | Times Cited: 3
Boosting EEG and ECG Classification with Synthetic Biophysical Data Generated via Generative Adversarial Networks
Archana Venugopal, Diego R. Faria
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 10818-10818
Open Access
Blind cyclostationary fault feature extraction in rolling bearings: a dual adaptive filtering approach
Ruo-Bin Sun, Yufeng Su, Zhibo Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086116-086116
Closed Access
FrWCSO-DRN: Fractional Water Cycle Swarm Optimizer-based deep residual network for pulmonary abnormality detection from respiratory sound signal
Jawad Ahmad Dar, Kamal Kr srivast, Sajaad Ahmed Lone
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification
Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 1
Classification of EEG Signals Utilizing DWT for Feature Extraction and Evolutionary Algorithms for Feature Selection
Mayur Akewar
(2023)
Open Access
Classification of EEG Signals Utilizing DWT for Feature Extraction and Evolutionary Algorithms for Feature Selection
Mayur Akewar
(2023)
Open Access
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