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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:

Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform
Yang You, Wanzhong Chen, Mingyang Li, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101761-101761
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features
Hesam Akbari, Sedigheh Ghofrani, Pejman Zakalvand, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102917-102917
Closed Access | Times Cited: 70
Motor imagery EEG classification based on flexible analytic wavelet transform
Yang You, Wanzhong Chen, Tao Zhang
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102069-102069
Closed Access | Times Cited: 62
Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network
J. Prasanna, M. S. P. Subathra, Mazin Abed Mohammed, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4952-4952
Open Access | Times Cited: 53
Review of Methods for EEG Signal Classification and Development of New Fuzzy Classification-Based Approach
Jan Rabčan, Vitaly Levashenko, Elena Zaitseva, et al.
IEEE Access (2020) Vol. 8, pp. 189720-189734
Open Access | Times Cited: 42
Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain
Muhammad Tariq Sadiq, Hesam Akbari, Ateeq Ur Rehman, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-24
Open Access | Times Cited: 34
A Classification Model of EEG Signals Based on RNN-LSTM for Diagnosing Focal and Generalized Epilepsy
Tahereh Najafi, Rosmina Jaafar, Rabani Remli, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7269-7269
Open Access | Times Cited: 28
Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform
Rajneesh Kumar Patel, Manish Kashyap
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 829-841
Open Access | Times Cited: 26
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, et al.
IEEE Access (2023) Vol. 11, pp. 71905-71924
Open Access | Times Cited: 16
A Novel Automated Empirical Mode Decomposition (EMD) Based Method and Spectral Feature Extraction for Epilepsy EEG Signals Classification
Mădălina-Giorgiana Murariu, Florica Ramona Dorobanțu, Daniela Tărniceriu
Electronics (2023) Vol. 12, Iss. 9, pp. 1958-1958
Open Access | Times Cited: 15
Effective Epileptic Seizure Detection by Classifying Focal and Non-focal EEG Signals using Human Learning Optimization-based Hidden Markov Model
Puja Cholke, Sharmishta Desai
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104682-104682
Closed Access | Times Cited: 14
AHW-BGOA-DNN: a novel deep learning model for epileptic seizure detection
H. Anila Glory, C. Vigneswaran, Sujeet S. Jagtap, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 11, pp. 6065-6093
Closed Access | Times Cited: 37
Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals
Xiang Liu, Juan Wang, Junliang Shang, et al.
Brain Sciences (2022) Vol. 12, Iss. 10, pp. 1275-1275
Open Access | Times Cited: 21
Classification and identification of epileptic EEG signals based on signal enhancement
Jun Jing, Xuewen Pang, Zuozhou Pan, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103248-103248
Closed Access | Times Cited: 24
Automatic focal EEG identification based on deep reinforcement learning
Xinyu Liu, Xin Ding, Jianping Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104693-104693
Closed Access | Times Cited: 10
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access
Computer-Aided Intracranial EEG Signal Identification Method Based on a Multi-Branch Deep Learning Fusion Model and Clinical Validation
Yiping Wang, Yang Dai, Zimo Liu, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 615-615
Open Access | Times Cited: 22
Recognition of emotional categories using mined fuzzy rules from electroencephalogram signals with gated eye track data approach
Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, et al.
IEEE Access (2024) Vol. 12, pp. 118122-118140
Open Access | Times Cited: 3
Automatic detection of epileptic seizure events using the time-frequency features and machine learning
Jiale Zeng, Xiaodan Tan, Chang’an A. Zhan
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102916-102916
Closed Access | Times Cited: 20
Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102542-102542
Closed Access | Times Cited: 7
Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy
Most. Sheuli Akter, Md. Rabiul Islam, Toshihisa Tanaka, et al.
Entropy (2020) Vol. 22, Iss. 12, pp. 1415-1415
Open Access | Times Cited: 17
Detection of Epilepsy Seizure in Adults Using Discrete Wavelet Transform and Cluster Nearest Neighborhood Classifier
S. Syed Rafiammal, D. Najumnissa Jamal, S. Kaja Mohideen
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2021) Vol. 45, Iss. 4, pp. 1103-1115
Closed Access | Times Cited: 14
Application of Deep Learning and WT-SST in Localization of Epileptogenic Zone Using Epileptic EEG Signals
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 4879-4879
Open Access | Times Cited: 8
Research on improved FAWT signal denoising method in evaluation of firefighter training efficacy based on sEMG
Yang Li, Ke Bai, Hao Wang, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103336-103336
Closed Access | Times Cited: 10
A hybrid ensemble voting-based residual attention network for motor imagery EEG Classification
Komal Jindal, Rahul Upadhyay, Hari Singh
Analog Integrated Circuits and Signal Processing (2024) Vol. 119, Iss. 1, pp. 165-184
Open Access | Times Cited: 1
Improved Patient-Independent Seizure Detection Using Hybrid Feature Extraction Approach with Atomic Function-Based Wavelets
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2023) Vol. 47, Iss. 4, pp. 1667-1688
Closed Access | Times Cited: 3
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