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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 detection using discrete wavelet transform-based statistical features
Kandala N. V. P. S. Rajesh, Ravindra Dhuli, T. Sunil Kumar
Computers in Biology and Medicine (2020) Vol. 130, pp. 104199-104199
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
Fazla Rabbi Mashrur, Md. Saiful Islam, D Saha, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104532-104532
Open Access | Times Cited: 73
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
Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults
Yewen Shi, Yitong Zhang, Zine Cao, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 17
RAFNet: Restricted attention fusion network for sleep apnea detection
Ying Chen, Huijun Yue, Ruifeng Zou, et al.
Neural Networks (2023) Vol. 162, pp. 571-580
Closed Access | Times Cited: 16
Detection of Sleep Apnea from Single-Lead ECG: Comparison of Deep Learning Algorithms
Mahsa Bahrami, Mohamad Forouzanfar
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2021), pp. 1-5
Closed Access | Times Cited: 35
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Manish Sharma, Divyash Kumbhani, Jainendra Tiwari, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105364-105364
Closed Access | Times Cited: 22
Detection of Sleep Apnea from Electrocardiogram and Pulse Oximetry Signals Using Random Forest
Jianming Zhu, Aojie Zhou, Qiong Gong, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4218-4218
Open Access | Times Cited: 22
A Review on the Applications of Time-Frequency Methods in ECG Analysis
Bikash K. Pradhan, Bala Chakravarty Neelappu, J. Sivaraman, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 14
Optimal CNN Model for Obstructive Sleep Apnea Detection using Particle Swarm Optimization
Thanh-Huong Tran, Phuong Anh Nguyen, Le Anh Ngoc, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19553-19560
Open Access
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
M. A. Choudhury, Md Tanvir, Mohammad Abu Yousuf, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109769-109769
Open Access
Dream: A Novel Explainable Neural Network for Detecting Sleep Apnea Using Single-Lead Ecg Signals
Sanjida Akter, Md. Anwar Hossain Masud, Mst. Sanzida Islam Promi, et al.
(2025)
Closed Access
OSA Detection Using DWT-CNN with Snoring Sounds
Thanh-Huong Tran, Ha Le Thanh, Trung-Nghia Phung, et al.
Lecture notes in networks and systems (2025), pp. 511-518
Closed Access
A residual deep learning framework for sleep apnea diagnosis from single lead electrocardiogram signals: An explainable artificial intelligence approach
Biswarup Ganguly, Rajdeep Dasgupta, Debangshu Dey
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110481-110481
Closed Access
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
WIVIDOSA-Net: Wigner-Ville distribution based obstructive sleep apnea detection using single lead ECG signal
Amit Bhongade, Tapan Kumar Gandhi
Biomedical Engineering Advances (2025), pp. 100159-100159
Open Access
Personalized Transfer Learning for Single-Lead ECG-Based Sleep Apnea Detection: Exploring the Label Mapping Length and Transfer Strategy Using Hybrid Transformer Model
Shuaicong Hu, Yanan Wang, Jian Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 11
Automated sleep scoring system using multi-channel data and machine learning
Recep Sinan Arslan, Hasan Ulutaş, Ahmet Sertol Köksal, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105653-105653
Closed Access | Times Cited: 16
Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features
Jianhua Zheng, Z. Zhang, Jinhe Wang, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22727-e22727
Open Access | Times Cited: 7
The novel approach of temporal dependency complexity analysis of heart rate variability in obstructive sleep apnea
Lan Tang, Guanzheng Liu
Computers in Biology and Medicine (2021) Vol. 135, pp. 104632-104632
Closed Access | Times Cited: 16
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
IEEE Access (2022) Vol. 10, pp. 92710-92725
Open Access | Times Cited: 12
Artificial intelligence-based obstructive sleep apnea detection using ECG signals
Usha Rani Kandukuri, Nalla Maheswara Rao, J. Sivaraman, et al.
Elsevier eBooks (2024), pp. 181-201
Closed Access | Times Cited: 1
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
ECG Signal Modeling Using Volatility Properties: Its Application in Sleep Apnea Syndrome
Maryam Faal, Farshad Almasganj
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 7
Respiratory Effort Signal Based Sleep Apnea Detection System Using Improved Random Forest Classifier
Anju Prabha, Jyoti Yadav, Asha Rani, et al.
IETE Journal of Research (2021) Vol. 69, Iss. 9, pp. 6326-6339
Closed Access | Times Cited: 7
ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks
Sarika Khandelwal, Nilima Salankar, Saeed Mian Qaisar, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293610-e0293610
Open Access | Times Cited: 2
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