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:
Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications
Fabian Schrumpf, Paul Rudi Serdack, Mirco Fuchs
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 2171-2180
Open Access | Times Cited: 8
Fabian Schrumpf, Paul Rudi Serdack, Mirco Fuchs
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 2171-2180
Open Access | Times Cited: 8
Showing 8 citing articles:
Identification of Coronary Artery Diseases Using Photoplethysmography Signals and Practical Feature Selection Process
Amjed Al Fahoum, Ansam Omar Abu Al-Haija, Hussam Alshraideh
Bioengineering (2023) Vol. 10, Iss. 2, pp. 249-249
Open Access | Times Cited: 41
Amjed Al Fahoum, Ansam Omar Abu Al-Haija, Hussam Alshraideh
Bioengineering (2023) Vol. 10, Iss. 2, pp. 249-249
Open Access | Times Cited: 41
Robust optimization for PPG-based blood pressure estimation
Sungjun Lim, Taero Kim, Hyeonjeong Lee, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107585-107585
Closed Access
Sungjun Lim, Taero Kim, Hyeonjeong Lee, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107585-107585
Closed Access
Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal
Pankaj, Ashish Kumar, Manjeet Kumar, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 739-750
Open Access | Times Cited: 9
Pankaj, Ashish Kumar, Manjeet Kumar, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 739-750
Open Access | Times Cited: 9
Video-based beat-by-beat blood pressure monitoring via transfer deep-learning
Osama A. Omer, Mostafa Salah, Loay Hassan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4564-4584
Open Access | Times Cited: 3
Osama A. Omer, Mostafa Salah, Loay Hassan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4564-4584
Open Access | Times Cited: 3
Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis
Afaq Khattak, Jianping Zhang, Pak Wai Chan, et al.
Atmosphere (2024) Vol. 15, Iss. 5, pp. 545-545
Open Access | Times Cited: 2
Afaq Khattak, Jianping Zhang, Pak Wai Chan, et al.
Atmosphere (2024) Vol. 15, Iss. 5, pp. 545-545
Open Access | Times Cited: 2
Feasibility of Remote Blood Pressure Estimation via Narrow-band Multi-wavelength Pulse Transit Time
Gašper Slapničar, Wenjin Wang, Mitja Luštrek
ACM Transactions on Sensor Networks (2023) Vol. 20, Iss. 4, pp. 1-21
Open Access | Times Cited: 6
Gašper Slapničar, Wenjin Wang, Mitja Luštrek
ACM Transactions on Sensor Networks (2023) Vol. 20, Iss. 4, pp. 1-21
Open Access | Times Cited: 6
Estimation of Continuous Arterial Blood Pressure Waveform from Photoplethysmogram in Terms of Loss Function Focus on Blood Pressure
Haesung Oh, Sujeong Han, Jaesung Lee
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-3
Closed Access
Haesung Oh, Sujeong Han, Jaesung Lee
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-3
Closed Access
Machine Learning Approaches for Blood Pressure Classification from Photoplethysmogram: A Comparative Analysis
Mathew Cigi, Raj Kiran, P. M. Nabeel, et al.
(2024), pp. 1-4
Closed Access
Mathew Cigi, Raj Kiran, P. M. Nabeel, et al.
(2024), pp. 1-4
Closed Access
