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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:

SleepFCN: A Fully Convolutional Deep Learning Framework for Sleep Stage Classification Using Single-Channel Electroencephalograms
Narjes Goshtasbi, Reza Boostani, Saeid Sanei
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2088-2096
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces
Peiliang Gong, Pengpai Wang, Yueying Zhou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1440-1450
Open Access | Times Cited: 36
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging
Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4748-4757
Closed Access | Times Cited: 34
EEG-Based Sleep Stage Classification via Neural Architecture Search
Gangwei Kong, Chang Li, Hu Peng, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1075-1085
Open Access | Times Cited: 32
Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice
Huijun Yue, Zhuqi Chen, Wenbin Guo, et al.
Sleep Medicine Reviews (2024) Vol. 74, pp. 101897-101897
Open Access | Times Cited: 13
Toward Domain-Free Transformer for Generalized EEG Pre-Training
Sung-Jin Kim, Dae-Hyeok Lee, Heon-Gyu Kwak, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 482-492
Open Access | Times Cited: 5
A novel deep learning model based on transformer and cross modality attention for classification of sleep stages
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh
Journal of Biomedical Informatics (2024) Vol. 157, pp. 104689-104689
Closed Access | Times Cited: 5
Effective Contextual Feature Fusion and Individualized Information for Automated Sleep Staging
Ronghe Chu, Jianguo Wei, Hai Lu, et al.
(2025)
Closed Access
Enhancing sleep stage classification through simultaneous time–frequency tokenization
Qiaoli Zhou, Shurui Li, Xiyuan Ye, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107553-107553
Closed Access
A dynamic saliency enhanced fusion network for multimodal sleep recognition
Aite Zhao, Huimin Wu, Ming Chen, et al.
Multimedia Tools and Applications (2025)
Closed Access
Neuraltapestry: Illuminating Sleep Stages Through EEG Patterns
S Priyanka, M Jayanthi, V. Parnika
Deleted Journal (2025)
Closed Access
Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
Peng Liu, Wei Qian, Hua Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring
Enrique Fernández-Blanco, Carlos Fernández-Lozano, Alejandro Pazos, et al.
Multimedia Tools and Applications (2025)
Open Access
Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques
Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device*
Zongyan Yao, Xilin Liu
(2023), pp. 1-4
Closed Access | Times Cited: 9
SeriesSleepNet: an EEG time series model with partial data augmentation for automatic sleep stage scoring
Minji Lee, Heon-Gyu Kwak, Hyeong-Jin Kim, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 8
SleepNet-Lite: A Novel Lightweight Convolutional Neural Network for Single-Channel EEG-Based Sleep Staging
Huihui Zhou, Aiping Liu, Heng Cui, et al.
IEEE Sensors Letters (2023) Vol. 7, Iss. 2, pp. 1-4
Closed Access | Times Cited: 7
Refining sleep staging accuracy: transfer learning coupled with scorability models
Wolfgang Ganglberger, Samaneh Nasiri, Haoqi Sun, et al.
SLEEP (2024) Vol. 47, Iss. 11
Closed Access | Times Cited: 2
A two-branch trade-off neural network for balanced scoring sleep stages on multiple cohorts
Di Zhang, Jinbo Sun, Yichong She, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Modality-Specific Feature Selection, Data Augmentation and Temporal Context for Improved Performance in Sleep Staging
Ritika Jain, A. G. Ramakrishnan
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 1031-1042
Closed Access | Times Cited: 6
A Spatial-Temporal Transformer Architecture Using Multi-Channel Signals for Sleep Stage Classification
Haotian Yao, Tao Liu, Ruiyang Zou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3353-3362
Open Access | Times Cited: 5
Advances in Modeling and Interpretability of Deep Neural Sleep Staging: A Systematic Review
Reza Soleimani, Jeffrey Barahona, Yuhan Chen, et al.
Physiologia (2023) Vol. 4, Iss. 1, pp. 1-42
Open Access | Times Cited: 5
Existing Methodologies, Evaluation Metrics, Research Gaps, and Future Research Trends: A Sleep Stage Classification Framework
Ravi Raja A, Phani Kumar Polasi
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 865-870
Closed Access | Times Cited: 4
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification
Shuo Ma, Yingwei Zhang, Yiqiang Chen, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 1, pp. 1-30
Open Access | Times Cited: 4
Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network
Minji Lee, Hyeokmook Kang, Seong-Hyun Yu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2533-2544
Open Access | Times Cited: 1
A Lightweight Model for Physiological Signals-based Sleep Staging with Multi-Class CAM for Model Explainability
Yuxuan Yang, Yanli Li
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 27815-27823
Closed Access | Times Cited: 1
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