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:

Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG
Muhammad Sohaib J. Solaija, Sajid Saleem, Khawar Khurshid, et al.
IEEE Access (2018) Vol. 6, pp. 38683-38692
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

EEG signal processing for epilepsy seizure detection using 5-level Db4 discrete wavelet transform, GA-based feature selection and ANN/SVM classifiers
Mehdi Omidvar, Abdulhamid Zahedi, Hamidreza Bakhshi
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 11, pp. 10395-10403
Closed Access | Times Cited: 78

EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
Luis Alfredo Moctezuma, Marta Molinas
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 71

Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103138-103138
Closed Access | Times Cited: 67

Data-driven prediction in dynamical systems: recent developments
Amin Ghadami, Bogdan I. Epureanu
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 380, Iss. 2229
Open Access | Times Cited: 64

Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Resmi Cherian, E. Grace Mary Kanaga
Journal of Neuroscience Methods (2022) Vol. 369, pp. 109483-109483
Closed Access | Times Cited: 38

An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection
M. V. V. Prasad Kantipudi, N. S. Pradeep Kumar, Rajanikanth Aluvalu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9

EEG signal based brain stimulation model to detect epileptic neurological disorders
Haewon Byeon, Udit Mahajan, Ashish Kumar, et al.
Neuroscience Informatics (2025), pp. 100186-100186
Open Access | Times Cited: 1

Automatic Diagnosis of Epileptic Seizure in Electroencephalography Signals Using Nonlinear Dynamics Features
Shanen Chen, Xi Zhang, Lili Chen, et al.
IEEE Access (2019) Vol. 7, pp. 61046-61056
Open Access | Times Cited: 69

Epileptic State Classification by Fusing Hand-Crafted and Deep Learning EEG Features
Dinghan Hu, Jiuwen Cao, Xiaoping Lai, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2020) Vol. 68, Iss. 4, pp. 1542-1546
Closed Access | Times Cited: 63

Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and Hidden Markov Model
Deba Prasad Dash, Maheshkumar H. Kolekar, Kamlesh Jha
Computers in Biology and Medicine (2019) Vol. 116, pp. 103571-103571
Closed Access | Times Cited: 62

Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
Morteza Zabihi, Serkan Kıranyaz, V. Jäntti, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 2, pp. 543-555
Closed Access | Times Cited: 56

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

Automatic epileptic seizure detection in EEG signals using sparse common spatial pattern and adaptive short-time Fourier transform-based synchrosqueezing transform
Mohsen Amiri, Hassan Aghaeinia, Hamidreza Amindavar
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104022-104022
Closed Access | Times Cited: 34

Epileptic seizure detection with deep EEG features by convolutional neural network and shallow classifiers
Wei Zeng, Liangmin Shan, Bo Su, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 21

Propofol anesthesia destabilizes neural dynamics across cortex
Adam Eisen, Leo Kozachkov, André M. Bastos, et al.
Neuron (2024) Vol. 112, Iss. 16, pp. 2799-2813.e9
Open Access | Times Cited: 7

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis
Deba Prasad Dash, Maheshkumar H. Kolekar, Chinmay Chakraborty, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-29
Open Access | Times Cited: 25

Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review
Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, et al.
IEEE Access (2022) Vol. 11, pp. 564-594
Open Access | Times Cited: 25

Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMD
Luis Alfredo Moctezuma, Marta Molinas
Journal of Biomedical Research (2020) Vol. 34, Iss. 3, pp. 180-180
Open Access | Times Cited: 38

Automatic Detection of Epileptic Seizures in EEG Using Sparse CSP and Fisher Linear Discrimination Analysis Algorithm
Rongrong Fu, Yongsheng Tian, Peiming Shi, et al.
Journal of Medical Systems (2020) Vol. 44, Iss. 2
Closed Access | Times Cited: 37

Minireview of Epilepsy Detection Techniques Based on Electroencephalogram Signals
Guangda Liu, Ruolan Xiao, Lanyu Xu, et al.
Frontiers in Systems Neuroscience (2021) Vol. 15
Open Access | Times Cited: 29

Computerized Multidomain EEG Classification System: A New Paradigm
Xiaojun Yu, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3626-3637
Closed Access | Times Cited: 19

Combining meta and ensemble learning to classify EEG for seizure detection
Mingze Liu, Jing Liu, Mengna Xu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Automatic Seizure Detection Using Multi-Resolution Dynamic Mode Decomposition
Muhammad Bilal, Muhammad Rizwan, Sajid Saleem, et al.
IEEE Access (2019) Vol. 7, pp. 61180-61194
Open Access | Times Cited: 29

Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection
Tao Zhang, Zhiwu Han, Xiaojuan Chen, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102827-102827
Closed Access | Times Cited: 20

Analysis of ECG Signals by Dynamic Mode Decomposition
Honorine Niyigena Ingabire, Kangjia Wu, Joan Toluwani Amos, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 5, pp. 2124-2135
Open Access | Times Cited: 18

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