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:

A novel peak signal feature segmentation process for epileptic seizure detection
T. P. Rani, G Heren Chellam
International Journal of Information Technology (2020) Vol. 13, Iss. 2, pp. 423-431
Closed Access | Times Cited: 9

Showing 9 citing articles:

Machine Learning and Computer Vision Based Methods for Cancer Classification: A Systematic Review
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 3015-3050
Closed Access | Times Cited: 8
Feature Extraction and Selection Techniques for Time Series Data Classification: A Comparative Analysis
Shobit Agrawal, Dilip Kumar Sharma
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 860-865
Closed Access | Times Cited: 9
A novel end-to-end approach for epileptic seizure classification from scalp EEG data using deep learning technique
Puranam Revanth Kumar, B. Shilpa, Rajesh Kumar Jha, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4223-4231
Closed Access | Times Cited: 4
Wavelet Ridges in EEG Diagnostic Features Extraction: Epilepsy Long-Time Monitoring and Rehabilitation after Traumatic Brain Injury
Yu. V. Obukhov, Ivan A. Kershner, Renata A. Tolmacheva, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 5989-5989
Open Access | Times Cited: 7
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
Optimal segmentation of non-linear and non-stationary time series based on Poincare section and its application in solving EEG-signal
Zolfagharzadeh-Kermani Mahdi, Saeid Rashidi, Asaseh Maryam
Applied Soft Computing (2024) Vol. 166, pp. 112178-112178
Closed Access
A Deep Learning Approach for the Classification of Arrhythmias in ECG Signal
Aman Kumar, Mohit Sipani, Puneeta Marwaha
International Conference on Computing for Sustainable Global Development (2021)
Closed Access | Times Cited: 2
Enhancing Epileptic Seizure Detection Through Advanced Artificial Intelligence Analysis of EEG Signals
Alhasan Alharbi, Mukta Dhopeshwarkar, Zeyad A. T. Ahmed, et al.
(2023), pp. 1-8
Closed Access
Methods and Algorithms for Extracting and Classifying Diagnostic Information from Electroencephalograms and Videos
Yu. V. Obukhov, Ivan A. Kershner, Dmitry Murashov, et al.
Pattern Recognition and Image Analysis (2023) Vol. 33, Iss. 4, pp. 1429-1457
Closed Access
Page 1

Scroll to top