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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 epileptic EEG detection using DT-CWT-based non-linear features
Mingyang Li, Wanzhong Chen, Tao Zhang
Biomedical Signal Processing and Control (2017) Vol. 34, pp. 114-125
Closed Access | Times Cited: 91

Showing 26-50 of 91 citing articles:

Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks
Wei Zeng, Mengqing Li, Chengzhi Yuan, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 3059-3088
Closed Access | Times Cited: 34
Gradient boosting machines fusion for automatic epilepsy detection from EEG signals based on wavelet features
Dwi Sunaryono, Riyanarto Sarno, Joko Siswantoro
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 9591-9607
Open Access | Times Cited: 25
ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal
Sandeep Kumar Satapathy, Debahuti Mishra, Pradeep Kumar Mallick, et al.
Personal and Ubiquitous Computing (2021) Vol. 27, Iss. 3, pp. 1161-1177
Closed Access | Times Cited: 24
Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification
Sebamai Parija, Ranjeeta Bisoi, P.K. Dash, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 105, pp. 104426-104426
Closed Access | Times Cited: 24
Palm Oil Maturity Classification Using K-Nearest Neighbors Based on RGB and L*a*b Color Extraction
Shofan Saifullah, Dessyanto Boedi Prasetyo, Indahyani, et al.
Procedia Computer Science (2023) Vol. 225, pp. 3011-3020
Open Access | Times Cited: 10
Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review
Rabindra Gandhi Thangarajoo, Mamun Bin Ibne Reaz, Geetika Srivastava, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8485-8485
Open Access | Times Cited: 23
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: 21
Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach
Yauhen Statsenko, Vladimir Babushkin, Tatsiana Talako, et al.
Biomedicines (2023) Vol. 11, Iss. 9, pp. 2370-2370
Open Access | Times Cited: 9
Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification
Farrikh Alzami, Juan Tang, Zhiwen Yu, et al.
IEEE Access (2018) Vol. 6, pp. 29132-29145
Open Access | Times Cited: 26
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Wessam Al-Salman, Yan Li, Peng Wen
Neuroscience (2019) Vol. 422, pp. 119-133
Closed Access | Times Cited: 25
FuzzyEn-based features in FrFT-WPT domain for epileptic seizure detection
Mingyang Li, Wanzhong Chen, Tao Zhang
Neural Computing and Applications (2018) Vol. 31, Iss. 12, pp. 9335-9348
Closed Access | Times Cited: 22
A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals
Quanhong Wang, Weizhuang Kong, Jitao Zhong, et al.
Neurocomputing (2023) Vol. 562, pp. 126874-126874
Closed Access | Times Cited: 7
Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning
Youmin Shin, Sungeun Hwang, Seung-Bo Lee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Seizure stage detection of epileptic seizure using convolutional neural networks
Kusumika Krori Dutta, Premila Manohar, Indira Krishnappa
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 2226-2226
Open Access | Times Cited: 2
Underwater Gas Leakage Flow Detection and Classification Based on Multibeam Forward-Looking Sonar
Yuanju Cao, Chao Xu, Jianghui Li, et al.
Journal of Marine Science and Application (2024) Vol. 23, Iss. 3, pp. 674-687
Closed Access | Times Cited: 2
Revealing False Positive Features in Epileptic EEG Identification
Jian Lian, Yunfeng Shi, Yan Zhang, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 11, pp. 2050017-2050017
Closed Access | Times Cited: 18
A novel automated seizure detection system from EMD-MSPCA denoised EEG: Refined composite multiscale sample, fuzzy and permutation entropies based scheme
SUKRITI Sukriti, Monisha Chakraborty, Debjani Mitra
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102514-102514
Closed Access | Times Cited: 16
Detection of multiple sclerosis from photic stimulation EEG signals
Büşra Kübra Karaca, Mehmet Feyzi Akşahin, Ruhşen Öcal
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102571-102571
Closed Access | Times Cited: 15
Feature selection and classification
Saptarshi Chatterjee, Debangshu Dey, Sugata Munshi
Elsevier eBooks (2022), pp. 95-135
Closed Access | Times Cited: 11
Literature survey on applications of electroencephalography (EEG)
Chi Qin Lai, Haidi Ibrahim, Mohd Zaid Abdullah, et al.
AIP conference proceedings (2018) Vol. 2016, pp. 020070-020070
Open Access | Times Cited: 17
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
Multi‐kernel‐based random vector functional link network with decomposed features for epileptic EEG signal classification
Sebamai Parija, P.K. Dash, Ranjeeta Bisoi
IET Signal Processing (2020) Vol. 14, Iss. 3, pp. 162-174
Open Access | Times Cited: 13
Pair-Wise Matching of EEG Signals for Epileptic Identification via Convolutional Neural Network
Jian Lian, Yan Zhang, Rong Luo, et al.
IEEE Access (2020) Vol. 8, pp. 40008-40017
Open Access | Times Cited: 13
Fuzzy-Based Automatic Epileptic Seizure Detection Framework
Aayesha Aayesha, Muhammad Bilal Qureshi, Muhammad Afzaal, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 5601-5630
Open Access | Times Cited: 12
Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection
John Martin, S. Sujatha, Satha Swapna
International Journal of Computer Applications (2018) Vol. 180, Iss. 17, pp. 14-20
Open Access | Times Cited: 13

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