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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:

GRP-DNet: A gray recurrence plot-based densely connected convolutional network for classification of epileptiform EEG
Ming Zeng, Xiaonei Zhang, Chunyu Zhao, et al.
Journal of Neuroscience Methods (2020) Vol. 347, pp. 108953-108953
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106053-106053
Open Access | Times Cited: 57
Enhancing emotion recognition using multimodal fusion of physiological, environmental, personal data
Hakpyeong Kim, Taehoon Hong
Expert Systems with Applications (2024) Vol. 249, pp. 123723-123723
Closed Access | Times Cited: 13
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
EEG-based classification combining Bayesian convolutional neural networks with recurrence plot for motor movement/imagery
Wenqie Huang, Guanghui Yan, Wenwen Chang, et al.
Pattern Recognition (2023) Vol. 144, pp. 109838-109838
Closed Access | Times Cited: 22
Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data
Sajila D. Wickramaratne, Md Shaad Mahmud
Frontiers in Big Data (2021) Vol. 4
Open Access | Times Cited: 36
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: 26
Epileptic seizure detection from electroencephalogram (EEG) signals using linear graph convolutional network and DenseNet based hybrid framework
Ferdaus Anam Jibon, Mahadi Hasan Miraz, Mayeen Uddin Khandaker, et al.
Journal of Radiation Research and Applied Sciences (2023) Vol. 16, Iss. 3, pp. 100607-100607
Open Access | Times Cited: 14
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
Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network
Hua Zhang, Chengyu Liu, Fangfang Tang, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 12
Fuzzy granular recurrence plot and quantification analysis: A novel method for classification
Qian He, Fusheng Yu, Jiaqi Chang, et al.
Pattern Recognition (2023) Vol. 139, pp. 109456-109456
Closed Access | Times Cited: 11
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 25
A new algorithm for Largest Lyapunov Exponent determination for noisy chaotic signal studies with application to Electroencephalographic signals analysis for epilepsy and epileptic seizures detection
Zayneb Brari, Safya Belghith
Chaos Solitons & Fractals (2022) Vol. 165, pp. 112757-112757
Closed Access | Times Cited: 17
EEG‐based automatic multi‐class classification of epileptic seizure types using recurrence plots
Ashima Khosla, Padmavati Khandnor, Trilok Chand
Expert Systems (2021) Vol. 39, Iss. 5
Closed Access | Times Cited: 21
Sea-Surface Small Floating Target Recurrence Plots FAC Classification Based on CNN
Yanling Shi, Yaxing Guo, Yao Tingting, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 15
Automated detection of epileptic EEG signals using recurrence plots-based feature extraction with transfer learning
Sachin Goel, Rajeev Agrawal, R. K. Bharti
Soft Computing (2023)
Open Access | Times Cited: 8
Two-Stage Approach With Combination of Outlier Detection Method and Deep Learning Enhances Automatic Epileptic Seizure Detection
Vadim Grubov, Sergei Nazarikov, Semen Kurkin, et al.
IEEE Access (2024) Vol. 12, pp. 122168-122182
Open Access | Times Cited: 2
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design
Komal Jindal, Rahul Upadhyay, Hari Shankar Singh
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 4, pp. 1318-1337
Closed Access | Times Cited: 10
Ramanujan Periodic Subspace Based Epileptic EEG Signals Classification
Priyanka Mathur, Vijay Kumar Chakka, Shaik Basheeruddin Shah
IEEE Sensors Letters (2021) Vol. 5, Iss. 7, pp. 1-4
Closed Access | Times Cited: 14
Implementation of Machine Learning and Deep Learning Techniques for the Detection of Epileptic Seizures Using Intracranial Electroencephalography
Marcin Kołodziej, Andrzej Majkowski, Andrzej Rysz
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8747-8747
Open Access | Times Cited: 5
Trend recurrence analysis and time series classification via trend fuzzy granular recurrence plot method
Qian He, Fusheng Yu
Chaos Solitons & Fractals (2023) Vol. 176, pp. 114158-114158
Closed Access | Times Cited: 4
Diagnosing Epilepsy from EEG Using Machine Learning and Welch Spectral Analysis
Esmira Abdullayeva, Humar Kahramanlı
Traitement du signal (2024) Vol. 41, Iss. 2, pp. 971-977
Open Access | Times Cited: 1
EEG Signal Analysis for Seizure Detection Using Recurrence Plots and Tchebichef Moments
Konstantinos Tziridis, Τheofanis Kalampokas, George A. Papakostas
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2021), pp. 0184-0190
Closed Access | Times Cited: 8
A review of automatic detection of epilepsy based on EEG signals
Qirui Ren, Xiaofan Sun, Xiangqu Fu, et al.
Journal of Semiconductors (2023) Vol. 44, Iss. 12, pp. 121401-121401
Closed Access | Times Cited: 2
A Recurrence Plot-Based Graph Convolutional Network for Time Series Classification
Junghye Lee, Hyewon Kang, Taek-Ho Lee
(2024)
Closed Access
TVRP-based constructing complex network for EEG emotional feature analysis and recognition
Chen Wang, Ying Li, Shuo Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106606-106606
Closed Access
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