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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 Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning
Ying‐Ren Chien, Cheng-Hsuan Wu, Hen‐Wai Tsao
Sensors (2021) Vol. 21, Iss. 18, pp. 6049-6049
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks
Rajdeep Ghosh, Souvik Phadikar, Nabamita Deb, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 5422-5436
Closed Access | Times Cited: 53
An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)
Ruhul Amin Hazarika, Arnab Kumar Maji, Debdatta Kandar, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 676-676
Open Access | Times Cited: 43
MSleepNet: A Semi-Supervision-Based Multiview Hybrid Neural Network for Simultaneous Sleep Arousal and Sleep Stage Detection
Hongmei Liu, Haibo Zhang, Baozhu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 6
A Segmentation-Denoising Network for Artifact Removal From Single-Channel EEG
Y.Z. Li, Aiping Liu, Yin Jin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 15115-15127
Closed Access | Times Cited: 13
The Ultra‐Long‐Term Sleep study: Design, rationale, data stability and user perspective
Esben Ahrens, Poul Jennum, Jonas Duun‐Henriksen, et al.
Journal of Sleep Research (2024)
Open Access | Times Cited: 4
Stacking Ensemble Learning-Based Load Identification Considering Feature Fusion by Cyber-Physical Approach
Yanzhen Li, Haixin Wang, Zihao Yang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 6, pp. 5997-6007
Closed Access | Times Cited: 9
A Model for Lumbar EMG Signal Recognition Based on Stacking Integration Learning
Shuhong Cheng, Liyuan Wu, Shijun Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3766-3775
Closed Access | Times Cited: 8
Automatic Sleep Staging Based on Contextual Scalograms and Attention Convolution Neural Network Using Single-Channel EEG
Yu Wei, Yongpeng Zhu, Yihan Zhou, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 801-811
Closed Access | Times Cited: 8
Deep convolutional architecture‐based hybrid learning for sleep arousal events detection through single‐lead EEG signals
Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, et al.
Brain and Behavior (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 6
Less complexity-aware intelligent 1-dimensional CNN with weighted deep features for artifacts removal in EEG signals
M.V.V.S. Prasad, Tummala Ranga Babu
Digital Signal Processing (2023) Vol. 145, pp. 104319-104319
Closed Access | Times Cited: 5
ENHANCED CHAMELEON SWARM OPTIMIZATION-BASED ENSEMBLE LEARNING APPROACH FOR SLEEP STAGE CLASSIFICATION FRAMEWORK
Ravi Raja A, Phani Kumar Polasi
Journal of Mechanics in Medicine and Biology (2024)
Closed Access | Times Cited: 1
Hybrid computational model depicts the contribution of non-significant lobes of human brain during the perception of emotional stimuli
Raghavendra Prasad, Shashikanta Tarai, Arindam Bit
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-27
Open Access | Times Cited: 1
Efficient Feature Learning Model of Motor Imagery EEG Signals with L1-Norm and Weighted Fusion
Xiangzeng Kong, Cailin Wu, Shimiao Chen, et al.
Biosensors (2024) Vol. 14, Iss. 5, pp. 211-211
Open Access | Times Cited: 1
A Machine Learning Model for Obstructive Sleep Apnea Detection Using Ensemble Learning and Single-Lead EEG Signal Data
Atiya Khan, Saroj Kr. Biswas, Chukhu Chunka, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 20266-20273
Closed Access | Times Cited: 1
Attention Classification Based on Biosignals during Standard Cognitive Tasks for Occupational Domains
Patrícia Gamboa, Rui Sousa Pedro Varandas, João Rodrigues, et al.
Computers (2022) Vol. 11, Iss. 4, pp. 49-49
Open Access | Times Cited: 7
A Novel Approach for Sleep Arousal Disorder Detection Based on the Interaction of Physiological Signals and Metaheuristic Learning
Afsoon Badiei, Saeed Meshgini, Khosro Rezaee
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 3
Signal Processing and Machine Learning for Smart Sensing Applications
Ying‐Ren Chien, Mu Zhou, Ao Peng, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1445-1445
Open Access | Times Cited: 3
The Obtainable Uncertainty for the Frequency Evaluation of Tones with Different Spectral Analysis Techniques
Salvatore Dello Iacono, Giuseppe Di Leo, Consolatina Liguori, et al.
Metrology (2022) Vol. 2, Iss. 2, pp. 216-229
Open Access | Times Cited: 5
Multisource Data Fusion Diagnosis Method of Rolling Bearings Based on Improved Multiscale CNN
Yulin Jin, Changzheng Chen, Siyu Zhao
Journal of Sensors (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 7
Automatic Identification of Involuntary Muscle Activity in Subacute Patients with Upper Motor Neuron Lesion at Rest—A Validation Study
Andrea Merlo, Isabella Campanini
Sensors (2023) Vol. 23, Iss. 2, pp. 866-866
Open Access | Times Cited: 2
State-of-the-art Sleep Arousal Detection Evaluated on a Comprehensive Clinical Dataset
Franz Ehrlich, Tony Sehr, Moritz Brandt, et al.
Research Square (Research Square) (2024)
Open Access
Sleep Arousal Identification Based on Generative Adversarial Network and Multi-Head Attention Convolutional Network
Zhongxing Liu, Wenjuan Lu, Jinxi Wang, et al.
(2024)
Closed Access
State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset
Franz Ehrlich, Tony Sehr, Moritz Brandt, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Sleep Staging Using Noncontact-Measured Vital Signs
Zixia Wang, Shuai Zha, Baoxian Yu, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 1
[Automated detection of sleep-arousal using multi-scale convolution and self-attention mechanism].
Fan Li, Yan Xu, Bin Zhang, et al.
PubMed (2023) Vol. 40, Iss. 1, pp. 27-34
Closed Access
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