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:

ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation
Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, et al.
Neural Networks (2023) Vol. 164, pp. 667-680
Open Access | Times Cited: 17

Showing 17 citing articles:

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

A review of automated sleep stage based on EEG signals
Xiaoli Zhang, Xizhen Zhang, Qiong Huang, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 651-673
Closed Access | Times Cited: 7

An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning
Shaofei Ying, Pengrui Li, Jiping Chen, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112722-112722
Closed Access

S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang, Nils Strodthoff
Computers in Biology and Medicine (2025) Vol. 187, pp. 109735-109735
Open Access

Spatiotemporal convolution sleep network based on graph attention mechanism with automatic feature extraction
Yidong Hu, Wenbin Shi, Chien-Hung Yeh
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107930-107930
Closed Access | Times Cited: 9

GAC-SleepNet: A dual-structured sleep staging method based on graph structure and Euclidean structure
Tianxing Li, Yulin Gong, Yudan Lv, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107477-107477
Closed Access | Times Cited: 7

Temporal Self-Attentional and Adaptive Graph Convolutional Mixed Model for Sleep Staging
Ziyang Chen, Wenbin Shi, Xianchao Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 12840-12852
Closed Access | Times Cited: 2

Machine Learning and Graph Signal Processing Applied to Healthcare: A Review
Maria Alice Andrade Calazans, Felipe A. B. S. Ferreira, Fernando A. N. Santos, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 671-671
Open Access | Times Cited: 2

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

Attention-guided graph structure learning network for EEG-enabled auditory attention detection
Xianzhang Zeng, Siqi Cai, Longhan Xie
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036025-036025
Closed Access | Times Cited: 1

MLS-Net: An Automatic Sleep Stage Classifier Utilizing Multimodal Physiological Signals in Mice
Chengyong Jiang, Wenbin Xie, Jiadong Zheng, et al.
Biosensors (2024) Vol. 14, Iss. 8, pp. 406-406
Open Access | Times Cited: 1

Self-supervised deep learning and EEG categorization
Mats Svantesson
Linköping University medical dissertations (2024)
Open Access

A Multimodal Knowledge Distillation Framework for Sleep Physiological Data
Z. P. Xie, Heng Liang, Ziyu Jia
Lecture notes in computer science (2024), pp. 256-265
Closed Access

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
Mathieu Seraphim, Alexis Lechervy, Florian Yger, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access

HybridDomainSleepNet: A hybrid common-private domain deep learning network for automatic sleep staging
Shaofei Ying, Lin Wang, Le Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107436-107436
Closed Access

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