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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:

Obstructive sleep apnea event prediction using recurrence plots and convolutional neural networks (RP-CNNs) from polysomnographic signals
Yashar Taghizadegan, Nader Jafarnia Dabanloo, Keivan Maghooli, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102928-102928
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Detection of sleep apnea using deep neural networks and single-lead ECG signals
Asghar Zarei, Hossein Beheshti, Babak Mohammadzadeh Asl
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103125-103125
Closed Access | Times Cited: 62
Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 433-433
Open Access | Times Cited: 1
Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals
Sara Bagherzadeh, Keivan Maghooli, Ahmad Shalbaf, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103544-103544
Closed Access | Times Cited: 33
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
Research on damage identification of large-span spatial structures based on deep learning
Caiwei Liu, J. de Man, Chaofeng Liu, et al.
Journal of Civil Structural Health Monitoring (2024) Vol. 14, Iss. 4, pp. 1035-1058
Closed Access | Times Cited: 6
A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies
Bin Meng, Jing Sun, Baofeng Shi
Expert Systems with Applications (2024) Vol. 255, pp. 124861-124861
Closed Access | Times Cited: 6
Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold
Peizhen Peng, Liping Xie, Kanjian Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103555-103555
Closed Access | Times Cited: 24
A Lightweight Feature Fusion and Machine Learning Method for Effective Home Monitoring and Early Detection of Sleep Apnea
Subrata Sarkar, Debajyoti Dhar, Rajib Sarkar, et al.
Lecture notes in electrical engineering (2025), pp. 424-435
Closed Access
Respiratory analysis during sleep using a chest-worn accelerometer: A machine learning approach
Franziska Ryser, Simon Hanassab, Olivier Lambercy, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 104014-104014
Open Access | Times Cited: 16
Condition monitoring for fault diagnosis of railway wheels using recurrence plots and convolutional neural networks (RP-CNN) models
Kuan-Jung Chung, Chia-Wei Lin
Measurement and Control (2023) Vol. 57, Iss. 3, pp. 330-338
Open Access | Times Cited: 7
High deformation/damage localization accuracy of fibrous composites through deep-learning of single channel data from carbon nanotube sensors
Xiaowei Jiang, Wenjin Zhang, Xiaodong Wang, et al.
Composites Part A Applied Science and Manufacturing (2024) Vol. 187, pp. 108512-108512
Closed Access | Times Cited: 1
Multiple-instance learning for EEG based OSA event detection
Cheng Liu, Shengqiong Luo, Baozhu Li, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104358-104358
Closed Access | Times Cited: 7
Convolutional neural network based on recurrence plot for EEG recognition
Chongqing Hao, Ruiqi Wang, Mengyu Li, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2021) Vol. 31, Iss. 12
Closed Access | Times Cited: 8
On Causal Discovery With Convergent Cross Mapping
Kurt Butler, Guanchao Feng, Petar M. Djurić
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 2595-2607
Closed Access | Times Cited: 3
Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation
Talal Bonny, Mahmmud Qatmh, Khaled Obaideen, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 6, pp. 2479-2494
Closed Access | Times Cited: 3
ASTERI: image-based representation of EEG signals for motor imagery classification
Juliana Carneiro Gomes, Marcelo Cairrão Araújo Rodrigues, Wellington Pinheiro dos Santos
Research on Biomedical Engineering (2022) Vol. 38, Iss. 2, pp. 661-681
Open Access | Times Cited: 5
Sleep Disorder Classification Using Convolutional Neural Networks
Chun‐Cheng Peng, Chu-Yun Kou
IFIP advances in information and communication technology (2023), pp. 539-548
Closed Access | Times Cited: 2
Prediction of Sleep Apnea Events Using a CNN–Transformer Network and Contactless Breathing Vibration Signals
Yuhang Chen, Shuchen Yang, Huan Li, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 746-746
Open Access | Times Cited: 2
Deep learning framework for automatic detection and classification of sleep apnea severity from polysomnography signals
A. Raja Brundha, A. Sangeetha, A. Balajiganesh
Neural Computing and Applications (2024) Vol. 36, Iss. 28, pp. 17483-17493
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
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation
Mantas Rinkevičius, Jesús Lázaro, Eduardo Gil, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6155-6167
Open Access
An improved time-frequency representation aided deep learning framework for automated diagnosis of sleep apnea from ECG signals
Biswarup Ganguly, Debangshu Dey
Measurement (2024) Vol. 242, pp. 116170-116170
Closed Access
AI-driven approaches for automatic detection of sleep apnea/hypopnea based on human physiological signals: a review
Dandan Peng, Le Sun, Qian Zhou, et al.
Health Information Science and Systems (2024) Vol. 13, Iss. 1
Closed Access
A Comparative Study of CNN and SVM for Sleep Apnea Classification: Evaluating Performance and Efficiency
Devdutt Baresary, Kushwant Kaur, Tanya Gera, et al.
(2024), pp. 1-5
Closed Access
ASTERI: Image-based representation of EEG signals for motor imagery classification
Juliana Carneiro Gomes, Marcelo Cairrão de Araújo Rodrigues, Wellington Pinheiro dos Santos
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
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