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 comparative study of feature ranking techniques for epileptic seizure detection using wavelet transform
Rahul Upadhyay, Prabin Kumar Padhy, Pavan Kumar Kankar
Computers & Electrical Engineering (2016) Vol. 53, pp. 163-176
Closed Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network
Sairamya N.J., SUBATHRA M. S. P, T. George S
Knowledge-Based Systems (2022) Vol. 249, pp. 108508-108508
Closed Access | Times Cited: 9
Comparing the capabilities of transfer learning models to detect skin lesion in humans
Aditi Singhal, Ramesht Shukla, Pavan Kumar Kankar, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2020) Vol. 234, Iss. 10, pp. 1083-1093
Closed Access | Times Cited: 13
Epileptic seizure detection from EEG signal using Flexible Analytical Wavelet Transform
Komal Jindal, Rahul Upadhyay
(2017), pp. 67-72
Closed Access | Times Cited: 13
Epileptic EEG Identification Based on Dual Q-Factor Signal Decomposition (DQSD), Fast and Adaptive Multivariate Empirical Mode Decomposition (FA-MVEMD) and Neural Networks
Wei Zeng, Chengzhi Yuan
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 6, pp. 3552-3588
Closed Access | Times Cited: 4
Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms
Sairamya Nanjappan Jothiraj, S. Thomas George, Balakrishnan Ramasamy, et al.
IET Image Processing (2018) Vol. 12, Iss. 12, pp. 2153-2162
Closed Access | Times Cited: 12
Application of hybrid GLCT-PICA de-noising method in automated EEG artifact removal
Komal Jindal, Rahul Upadhyay, Hari Singh
Biomedical Signal Processing and Control (2020) Vol. 60, pp. 101977-101977
Closed Access | Times Cited: 9
Fractal-based techniques for physiological time series: An updated approach
José Luis Roca, Germán Rodríguez-Bermúdez, M. Fernández–Martínez
Open Physics (2018) Vol. 16, Iss. 1, pp. 741-750
Open Access | Times Cited: 8
Evaluation of Feature Selection Methods for Mammographic Breast Cancer Diagnosis in a Unified Framework
Chunjiang Tian, Jian Lv, Xiangfeng Xu
BioMed Research International (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 7
Steady-state detection method of burning flame temperature based on wavelet transform and least squares fitting
Shizeng Lu, Hongliang Yu, Xiaohong Wang
Transactions of the Institute of Measurement and Control (2018) Vol. 41, Iss. 5, pp. 1458-1467
Closed Access | Times Cited: 7
Automated Detection of Epileptic Seizure Using Histogram of Oriented Gradients for Analysing Time Frequency Images of EEG Signals
N. J. Sairamya, S. Thomas George, D. Narain Ponraj, et al.
Communications in computer and information science (2018), pp. 932-943
Closed Access | Times Cited: 6
Performance Analysis of Supervised Machine Learning Algorithms for Epileptic Seizure Detection with high variability EEG datasets: A Comparative Study
Gopal Chandra Jana, Anshuman Sabath, Anupam Agrawal
2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2019), pp. 1-6
Closed Access | Times Cited: 6
Bearing fault diagnosis using TQWT based Entropy features
Tanvi Dovedi, Rahul Upadhyay
(2018), pp. 1061-1065
Closed Access | Times Cited: 5
Eeg Artifact Removal and Noise Suppression Using Hybrid Glct -Ica Technique
Komal Jindal, Rahul Upadhyay, Hari Singh
(2018), pp. 1-5
Closed Access | Times Cited: 4
Classification and Comparative Analysis of Control and Migraine Subjects Using EEG Signals
Abhishek Uday Patil, Amitabh Dube, Rajesh Jain, et al.
Advances in intelligent systems and computing (2018), pp. 31-39
Closed Access | Times Cited: 2
Differentiation between Epileptic and Psychogenic Nonepileptic Seizures in Electroencephalogram Using Wavelets and Support-Vector Machines
Kauê Reis dos Santos, Miguel Angelo de Abreu de Sousa, S. D. dos Santos, et al.
Applied Artificial Intelligence (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 2
Non-invasive Detection of Ketum Users through Objective Analysis of EEG Signals
Siti Habibah Nawayi, Vikneswaran Vijean, Ahmad Faizal Salleh, et al.
Journal of Physics Conference Series (2021) Vol. 2071, Iss. 1, pp. 012045-012045
Open Access | Times Cited: 1
Landscape of epilepsy research: Analysis and future trajectory
Manisha Sharma, Satyajit Anand, Rajeev Pourush
Interdisciplinary Neurosurgery (2023) Vol. 36, pp. 101879-101879
Open Access
EEG Classification Using TQWT and Classifiers
Sibasankar Padhy, S Sai Suryateja
International Journal of Innovative Science and Research Technology (IJISRT) (2020) Vol. 5, Iss. 8, pp. 603-611
Open Access
Hybrid time‐reassigned multisynchrosqueezing transform‐Picard‐based automated electroencephalography artifact correction methodology for brain–computer interface applications
Tanvi Dovedi, Rahul Upadhyay, Vinay Kumar
International Journal of Imaging Systems and Technology (2021) Vol. 32, Iss. 4, pp. 1338-1356
Closed Access
Previous Page - Page 2

Scroll to top