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:
A Comparative Study on EEG Features for Neonatal Seizure Detection
S. Abirami, John Thomas, Rajamanickam Yuvaraj, et al.
Springer eBooks (2022), pp. 43-64
Closed Access | Times Cited: 15
S. Abirami, John Thomas, Rajamanickam Yuvaraj, et al.
Springer eBooks (2022), pp. 43-64
Closed Access | Times Cited: 15
Showing 15 citing articles:
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection
Yuxia Wang, Shasha Yuan, JinâXing Liu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 7
Yuxia Wang, Shasha Yuan, JinâXing Liu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 7
Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 12565-12585
Closed Access | Times Cited: 3
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 12565-12585
Closed Access | Times Cited: 3
Multi-Class Seizure Type Classification Using Features Extracted from the EEG
Abirami Selvaraj, Swarubini PJ, John Thomas, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 3
Abirami Selvaraj, Swarubini PJ, John Thomas, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 3
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features
Abdul Aleem Shaik Gadda, Dhanvi Vedantham, John Thomas, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Abdul Aleem Shaik Gadda, Dhanvi Vedantham, John Thomas, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning
Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic Regression
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Chetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression
Ravi Ratnaik, Chetan Rakshe, Manoj Kumar, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Ravi Ratnaik, Chetan Rakshe, Manoj Kumar, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 2
Automated Multi-class Seizure-type Classification System using EEG Signals and Machine Learning Algorithms
S. Abirami, Tikaram Tikaram, M. Kathiravan, et al.
IEEE Access (2024) Vol. 12, pp. 136524-136541
Open Access
S. Abirami, Tikaram Tikaram, M. Kathiravan, et al.
IEEE Access (2024) Vol. 12, pp. 136524-136541
Open Access
Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning
Lokesh Naidu Lebaka, Sriram Kumar P, Praveen Kumar Govarthan, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 1
Lokesh Naidu Lebaka, Sriram Kumar P, Praveen Kumar Govarthan, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 1
A feasibility study on using EEG for Biometric Trait Authentication System
Devesh Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, et al.
Current Directions in Biomedical Engineering (2023) Vol. 9, Iss. 1, pp. 690-693
Open Access | Times Cited: 1
Devesh Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, et al.
Current Directions in Biomedical Engineering (2023) Vol. 9, Iss. 1, pp. 690-693
Open Access | Times Cited: 1
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study
Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 12, pp. 4051-4058
Open Access | Times Cited: 1
Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 12, pp. 4051-4058
Open Access | Times Cited: 1
Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System
Jahanvi Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, et al.
Studies in health technology and informatics (2023)
Open Access
Jahanvi Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, et al.
Studies in health technology and informatics (2023)
Open Access
Emotion Classification Using Electrocardiogram and Machine Learning: A Study on the Effect of Windowing Techniques
Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, et al.
(2023)
Closed Access
Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, et al.
(2023)
Closed Access
Investigating Windowing Techniques in Emotion Classification with ECG and Machine Learning
Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, et al.
(2023), pp. 348-353
Closed Access
Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, et al.
(2023), pp. 348-353
Closed Access
Investigating the Effects of Two-Class Categorical Emotion Classification Through Electrodermal Activity and Machine Learning
Sriram KumarP, Jac Fredo Agastinose Ronickom
(2023), pp. 594-599
Closed Access
Sriram KumarP, Jac Fredo Agastinose Ronickom
(2023), pp. 594-599
Closed Access
