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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:

Gradient boosting machines fusion for automatic epilepsy detection from EEG signals based on wavelet features
Dwi Sunaryono, Riyanarto Sarno, Joko Siswantoro
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 9591-9607
Open Access | Times Cited: 24

Showing 24 citing articles:

Detection Method of Epileptic Seizures Using a Neural Network Model Based on Multimodal Dual-Stream Networks
Baiyang Wang, Yidong Xu, Siyu Peng, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3360-3360
Open Access | Times Cited: 5
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Open Access
A comprehensive evaluation of interpretable artificial intelligence for epileptic seizure diagnosis using an electroencephalogram: A systematic review
Daraje Kaba Gurmessa, Worku Jimma
Digital Health (2025) Vol. 11
Open Access
Cross-Subject Channel Selection Using Modified Relief and Simplified CNN-Based Deep Learning for EEG-Based Emotion Recognition
Lia Farokhah, Riyanarto Sarno, Chastine Fatichah
IEEE Access (2023) Vol. 11, pp. 110136-110150
Open Access | Times Cited: 7
A Post-Stroke Rehabilitation System With Compensatory Movement Detection Using Virtual Reality and Electroencephalogram Technologies
Chi-Huang Shih, Pei-Jung Lin, Yen‐Lin Chen, et al.
IEEE Access (2024) Vol. 12, pp. 61418-61432
Open Access | Times Cited: 2
Case Study: Gradient Boosting Machine vs Light GBM in Potential Landslide Detection
Djarot Hindarto
Journal Of Computer Networks Architecture and High Performance Computing (2024) Vol. 6, Iss. 1, pp. 169-178
Open Access | Times Cited: 1
Epilepsy Seizure Detection Using Optimised KNN Algorithm Based on EEG
Akash Dogra, Shiv Ashish Dhondiyal, Deepak Singh Rana
2022 International Conference for Advancement in Technology (ICONAT) (2023), pp. 1-6
Closed Access | Times Cited: 4
Optimized One-Dimension Convolutional Neural Network for Seizure Classification from EEG Signal based on Whale Optimization Algorithm
Dwi Sunaryono, Joko Siswantoro, Agus Budi Raharjo, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 310-322
Open Access | Times Cited: 4
Hybrid One-Dimensional CNN and DNN Model for Classification Epileptic Seizure
Dwi Sunaryono, Riyanarto Sarno, Joko Siswantoro, et al.
International journal of intelligent engineering and systems (2022) Vol. 15, Iss. 6, pp. 492-502
Open Access | Times Cited: 6
The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models
Kutlucan Görür, Beyza Eraslan
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 4, pp. 1219-1240
Closed Access | Times Cited: 6
Enhanced Gradient Boosting Machines Fusion based on the Pattern of Majority Voting for Automatic Epilepsy Detection
Dwi Sunaryono, Riyanarto Sarno, Joko Siswantoro, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 7
Open Access | Times Cited: 4
Application of Machine Learning Algorithm for Mental State Attention Classification Based on Electroencephalogram Signals
Katon Suwida, Shintami Chusnul Hidayati, Riyanarto Sarno
(2023), pp. 354-358
Closed Access | Times Cited: 2
Multimodal deep learning for chronic kidney disease prediction: leveraging feature selection algorithms and ensemble models
N. J. Subashini, K. Venkatesh
International Journal of Computers and Applications (2023) Vol. 45, Iss. 10, pp. 647-659
Closed Access | Times Cited: 2
An Overview and Analysis of Machine Learning Classification Algorithms in Healthcare
Soumitra Saha
Advances in bioinformatics and biomedical engineering book series (2024), pp. 39-61
Closed Access
Comparative Analysis of Electroencephalogram Signals Using Ensemble Methods for Epilepsy Detection
S. K. Niranjan, A. Samson Arun Raj, T. Jemima Jebaseeli, et al.
Advances in computational intelligence and robotics book series (2024), pp. 205-218
Closed Access
AttenEpilepsy: A 2D convolutional network model based on multi-head self-attention
Shuang Ma, Haifeng Wang, Zhihao Yu, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 169, pp. 105989-105989
Closed Access
A novel epilepsy detection approach using intrinsic multiscale entropy analysis and DSEAM-enhanced 1D-ResNets
Xiaolong Jing, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015706-015706
Closed Access
High-precision prediction of microalgae biofuel production efficiency: employing ELG ensemble method
Yanjun Wang, Chongyang Zhang
Frontiers in Environmental Science (2024) Vol. 12
Open Access
LMPSeizNet: A Lightweight Multiscale Pyramid Convolutional Neural Network for Epileptic Seizure Detection on EEG Brain Signals
Arwa Alsaadan, Mai Alzamel, Muhammad Hussain
Mathematics (2024) Vol. 12, Iss. 23, pp. 3648-3648
Open Access
MSCNet-FS: development of intelligent epileptic seizure anticipation model by multi serial cascaded network with feature Specific using scalogram images of EEG signal
Vinod J. Thomas, Anto Sahaya Dhas
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-24
Closed Access
Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features
Sahbi Chaibi, Chahira Mahjoub, Wadhah Ayadi, et al.
Biomedical Engineering / Biomedizinische Technik (2023) Vol. 69, Iss. 2, pp. 111-123
Open Access | Times Cited: 1
Diagnosis, Treatment and Containment of Epilepsy Disease
Shiv Ashish Dhondiyal, Sushil Chandra Dimri
(2022)
Closed Access | Times Cited: 2
Comparing the Performances of Ensemble classifiers to Detect Eye Stat
Kemal Akyol, Abdülkadir Karacı
International Journal of Information Technology and Computer Science (2022) Vol. 14, Iss. 6, pp. 33-38
Open Access | Times Cited: 1
Epilepsy Detection using Combination DWT and Convolutional Neural Networks Based on Electroencephalogram
Dwi Sunaryono, Joko Siswantoro, Riyanarto Sarno, et al.
(2023) Vol. 16, pp. 411-416
Open Access
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