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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:

Estimation of the apnea-hypopnea index in a heterogeneous sleep-disordered population using optimised cardiovascular features
Gabriele B. Papini, Pedro Fonseca, Merel M. van Gilst, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 17

Showing 17 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
Wearable monitoring of sleep-disordered breathing: estimation of the apnea–hypopnea index using wrist-worn reflective photoplethysmography
Gabriele B. Papini, Pedro Fonseca, Merel M. van Gilst, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Obstructive sleep apnea detection from single-lead electrocardiogram signals using one-dimensional squeeze-and-excitation residual group network
Quanan Yang, Lang Zou, Keming Wei, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105124-105124
Closed Access | Times Cited: 59
An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications
Alessandra Galli, Roel J. H. Montree, Shuhao Que, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4035-4035
Open Access | Times Cited: 33
Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram
Shuaicong Hu, Yanan Wang, Jian Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5281-5292
Closed Access | Times Cited: 19
Evaluating consumer and clinical sleep technologies: an American Academy of Sleep Medicine update
Sharon Schutte-Rodin, Maryann C. Deak, Seema Khosla, et al.
Journal of Clinical Sleep Medicine (2021) Vol. 17, Iss. 11, pp. 2275-2282
Open Access | Times Cited: 34
Multi-task self-supervised learning framework via contrastive restoration for sleep apnea syndrome detection using single-lead ECG
Qi Shen, Guanzheng Liu, Zhiqiong Wang, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107631-107631
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
An Update on Obstructive Sleep Apnea for Atherosclerosis: Mechanism, Diagnosis, and Treatment
Jin Chen, Shu Lin, Yiming Zeng
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 22
Respiratory activity extracted from wrist-worn reflective photoplethysmography in a sleep-disordered population
Gabriele B. Papini, Pedro Fonseca, Merel M. van Gilst, et al.
Physiological Measurement (2020) Vol. 41, Iss. 6, pp. 065010-065010
Open Access | Times Cited: 21
A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing
Jiali Xie, Pedro Fonseca, Johannes van Dijk, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 2
IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis
Shuaicong Hu, Yanan Wang, Jian Liu, et al.
Neural Networks (2024) Vol. 181, pp. 106836-106836
Closed Access | Times Cited: 2
The Predictive Role of Subcutaneous Adipose Tissue in the Pathogenesis of Obstructive Sleep Apnoea
Viktória Molnár, Zoltán Lakner, András Molnár, et al.
Life (2022) Vol. 12, Iss. 10, pp. 1504-1504
Open Access | Times Cited: 10
Respiratory events screening using consumer smartwatches
Ілля Федорін, Kostyantyn Slyusarenko, Margaryta Nastenko
(2020)
Closed Access | Times Cited: 11
An introduction to artificial intelligence in sleep medicine
Christopher A. Lovejoy, Abdulrahman Abbas, Deeban Ratneswaran
Journal of Thoracic Disease (2021) Vol. 13, Iss. 10, pp. 6095-6098
Open Access | Times Cited: 5
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
A Minimalist Method Toward Severity Assessment and Progression Monitoring of Obstructive Sleep Apnea on the Edge
Md Juber Rahman, Bashir I. Morshed
ACM Transactions on Computing for Healthcare (2021) Vol. 3, Iss. 2, pp. 1-16
Closed Access | Times Cited: 3
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