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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:

A new feature for the classification of non-stationary signals based on the direction of signal energy in the time–frequency domain
Nabeel Ali Khan, Sadiq Ali
Computers in Biology and Medicine (2018) Vol. 100, pp. 10-16
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Multilanguage-handwriting self-powered recognition based on triboelectric nanogenerator enabled machine learning
Weiqiang Zhang, Linfeng Deng, Lei Yang, et al.
Nano Energy (2020) Vol. 77, pp. 105174-105174
Closed Access | Times Cited: 103
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier
S. Raghu, N. Sriraam, Yasin Temel, et al.
Computers in Biology and Medicine (2019) Vol. 110, pp. 127-143
Open Access | Times Cited: 94
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning
Mehmet Akif Özdemir, Özlem Karabiber Cura, Aydın Akan
International Journal of Neural Systems (2021) Vol. 31, Iss. 08, pp. 2150026-2150026
Closed Access | Times Cited: 72
Epileptic seizure classifications using empirical mode decomposition and its derivative
Özlem Karabiber Cura, Sibel Kocaaslan Atlı, Hatice Sabiha Türe, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 68
Blood glucose prediction model for type 1 diabetes based on artificial neural network with time-domain features
Ganjar Alfian, Muhammad Syafrudin, Muhammad Anshari, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1586-1599
Closed Access | Times Cited: 60
Time–frequency signal processing: Today and future
Aydın Akan, Özlem Karabiber Cura
Digital Signal Processing (2021) Vol. 119, pp. 103216-103216
Closed Access | Times Cited: 51
Local Rényi entropy-based Gini index for measuring and optimizing sparse time-frequency distributions
Vedran Jurdana
Digital Signal Processing (2024) Vol. 147, pp. 104401-104401
Closed Access | Times Cited: 7
A Modified Viterbi Algorithm-Based IF Estimation Algorithm for Adaptive Directional Time–Frequency Distributions
Nabeel Ali Khan, Mokhtar Mohammadi, Igor Djurović
Circuits Systems and Signal Processing (2018) Vol. 38, Iss. 5, pp. 2227-2244
Closed Access | Times Cited: 47
Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding
Yue Zhang, Weihai Chen, Chun‐Liang Lin, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102983-102983
Closed Access | Times Cited: 32
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning
Özlem Karabiber Cura, Aydın Akan
International Journal of Neural Systems (2020) Vol. 31, Iss. 05, pp. 2150005-2150005
Closed Access | Times Cited: 25
An instantaneous frequency and group delay based feature for classifying EEG signals
Nabeel Ali Khan, Sadiq Ali, Kwonhue Choi
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102562-102562
Closed Access | Times Cited: 21
Spike Detection Based on the Adaptive Time–Frequency Analysis
Mokhtar Mohammadi, Nabeel Ali Khan, Hamid Hassanpour, et al.
Circuits Systems and Signal Processing (2020) Vol. 39, Iss. 11, pp. 5656-5680
Closed Access | Times Cited: 16
Iterative adaptive directional time–frequency distribution for both mono-sensor and multi-sensor recordings
Nabeel Ali Khan
Signal Image and Video Processing (2022) Vol. 17, Iss. 2, pp. 501-508
Closed Access | Times Cited: 9
GNMF-based quadratic feature extraction in SSTFT domain for epileptic EEG detection
Mingyang Li, Wanzhong Chen, Min Xia
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104274-104274
Closed Access | Times Cited: 9
Estimation and interpreting instantaneous frequency of signals in non-stationary measurement sensor systems: An overview
Shaik Mohammed Shareef, M. Venu Gopala Rao
Measurement Sensors (2023) Vol. 27, pp. 100758-100758
Open Access | Times Cited: 3
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data
Özlem Karabiber Cura, Aydın Akan, Hatice Sabiha Türe
International Journal of Neural Systems (2023) Vol. 33, Iss. 09
Closed Access | Times Cited: 3
Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time–Frequency Distributions with Application in EEG Seizure Signals Analysis
Vedran Jurdana, Miroslav Vrankić, Nikola Lopac, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4680-4680
Open Access | Times Cited: 3
Convolutional Neural Networks Based Time-Frequency Image Enhancement For the Analysis of EEG Signals
Nabeel Ali Khan, Mokhtar Mohammadi, Mubeen Ghafoor, et al.
Multidimensional Systems and Signal Processing (2022) Vol. 33, Iss. 3, pp. 863-877
Closed Access | Times Cited: 5
Modified Time-Frequency Marginal Features for Detection of Seizures in Newborns
Nabeel Ali Khan, Sadiq Ali, Kwonhue Choi
Sensors (2022) Vol. 22, Iss. 8, pp. 3036-3036
Open Access | Times Cited: 5
A Rule-Based Classifier to Detect Seizures in EEG Signals
Nabeel Ali Khan, Mokhtar Mohammadi, Kwonhue Choi
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 6, pp. 3538-3551
Closed Access | Times Cited: 2
Novel quadratic time-frequency features in EEG signals for robust detection of epileptic seizure
Fayza Ghembaza, Abdelghani Djebbari
Research on Biomedical Engineering (2023) Vol. 39, Iss. 2, pp. 365-387
Closed Access | Times Cited: 2
EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network
Jianzhuo Yan, Jinnan Li, Hongxia Xu, et al.
Lecture notes in computer science (2021), pp. 463-473
Closed Access | Times Cited: 4
Convolutional Neural Networks for Local Component Number Estimation from Time–Frequency Distributions of Multicomponent Nonstationary Signals
Vedran Jurdana, Sandi Baressi Šegota
Mathematics (2024) Vol. 12, Iss. 11, pp. 1661-1661
Open Access
Impact of Multi-domain Features for EEG Based Epileptic Seizures Classification
Najmusseher Najmusseher, P. K. Nizar Banu, Ahmad Taher Azar, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 317-329
Closed Access
Classification of Psychogenic Non-epileptic Seizures Using Synchrosqueezing Transform of EEG Signals
Özlem Karabiber Cura, Gülce Coşku Yılmaz, Hatice Sabiha Türe, et al.
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1172-1176
Closed Access | Times Cited: 2
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