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:
Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder
Fahimeh Mohagheghian, Dong Han, Om Ghetia, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121611-121611
Open Access | Times Cited: 5
Fahimeh Mohagheghian, Dong Han, Om Ghetia, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121611-121611
Open Access | Times Cited: 5
Showing 5 citing articles:
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Recent advances in the tools and techniques for AI-aided diagnosis of atrial fibrillation
Md Saiful Islam, M. R. Islam, Sanjid-E-Elahi, et al.
Biophysics Reviews (2025) Vol. 6, Iss. 1
Closed Access
Md Saiful Islam, M. R. Islam, Sanjid-E-Elahi, et al.
Biophysics Reviews (2025) Vol. 6, Iss. 1
Closed Access
Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability
Caterina Fuster-Barceló, Alejandro Guerrero-López, Carmen Cámara, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108325-108325
Closed Access | Times Cited: 3
Caterina Fuster-Barceló, Alejandro Guerrero-López, Carmen Cámara, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108325-108325
Closed Access | Times Cited: 3
RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals
Amin Aminifar, Soheil Khooyooz, Anice Jahanjoo, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2024), pp. 1-5
Closed Access | Times Cited: 2
Amin Aminifar, Soheil Khooyooz, Anice Jahanjoo, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2024), pp. 1-5
Closed Access | Times Cited: 2
A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals
Soheil Khooyooz, Anice Jahanjoo, Amin Aminifar, et al.
(2024), pp. 1-5
Closed Access
Soheil Khooyooz, Anice Jahanjoo, Amin Aminifar, et al.
(2024), pp. 1-5
Closed Access
