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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:

Wearable Photoplethysmography for Cardiovascular Monitoring
Peter Charlton, P. A. Kyriacou, Jonathan Mant, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 3, pp. 355-381
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

State of the science and recommendations for using wearable technology in sleep and circadian research
Massimiliano de Zambotti, Cathy Goldstein, Jesse D. Cook, et al.
SLEEP (2023) Vol. 47, Iss. 4
Closed Access | Times Cited: 55
The 2023 wearable photoplethysmography roadmap
Peter Charlton, John Allen, Raquel Bailón, et al.
Physiological Measurement (2023) Vol. 44, Iss. 11, pp. 111001-111001
Open Access | Times Cited: 43
Effect of skin color on optical properties and the implications for medical optical technologies: a review
Kerry Setchfield, Alistair Gorman, Hamish Simpson, et al.
Journal of Biomedical Optics (2024) Vol. 29, Iss. 01
Open Access | Times Cited: 16
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
Peter Charlton, Birutė Paliakaitė, Kristjan Pilt, et al.
AJP Heart and Circulatory Physiology (2021) Vol. 322, Iss. 4, pp. H493-H522
Open Access | Times Cited: 73
Data quality evaluation in wearable monitoring
Sebastian Böttcher, Solveig Vieluf, Elisa Bruno, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 46
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Peter Charlton, Kevin Kotzen, Elisa Mejía‐Mejía, et al.
Physiological Measurement (2022) Vol. 43, Iss. 8, pp. 085007-085007
Open Access | Times Cited: 44
An n‐Type All‐Fused‐Ring Molecule with Photoresponse to 1000 nm for Highly Sensitive Near‐Infrared Photodetector
Yingze Zhang, Yingjian Yu, Xinyu Liu, et al.
Advanced Materials (2023) Vol. 35, Iss. 20
Closed Access | Times Cited: 40
Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet
Jordi Alastruey, Peter Charlton, Vasiliki Bikia, et al.
AJP Heart and Circulatory Physiology (2023) Vol. 325, Iss. 1, pp. H1-H29
Open Access | Times Cited: 27
Reimagining the Value of Brachial-Ankle Pulse Wave Velocity as a Biomarker of Cardiovascular Disease Risk—A Call to Action on Behalf of VascAgeNet
Keeron Stone, Dave Veerasingam, Michelle L. Meyer, et al.
Hypertension (2023) Vol. 80, Iss. 10, pp. 1980-1992
Open Access | Times Cited: 25
PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
Weinan Wang, Pedram Mohseni, Kevin L. Kilgore, et al.
Frontiers in Digital Health (2023) Vol. 4
Open Access | Times Cited: 23
Arterial stiffness assessment using PPG feature extraction and significance testing in an in vitro cardiovascular system
Redjan Ferizoli, Parmis Karimpour, James M. May, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Cuffless Blood Pressure in clinical practice: challenges, opportunities and current limits.
Benoît Henry, Maxime Merz, Harry Hoang, et al.
Blood Pressure (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 10
Wearables in Chronomedicine and Interpretation of Circadian Health
Denis Gubin, Dietmar Weinert, Oliver Stefani, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 327-327
Open Access | Times Cited: 1
Recent Advances in Non-Invasive Blood Pressure Monitoring and Prediction Using a Machine Learning Approach
Siti Nor Ashikin Ismail, Nazrul Anuar Nayan, Rosmina Jaafar, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6195-6195
Open Access | Times Cited: 29
A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG
Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2442-2442
Open Access | Times Cited: 22
Challenges and prospects of visual contactless physiological monitoring in clinical study
Bin Huang, Shen Hu, Zimeng Liu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 22
Ultralow-Power Photoplethysmography (PPG) Sensors: A Methodological Review
Zobair Ebrahimi, Benoit Gosselin
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 16467-16480
Closed Access | Times Cited: 21
Intelligent cardiovascular disease diagnosis using deep learning enhanced neural network with ant colony optimization
Biao Xia, Nisreen Innab, K. Venkatachalam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Sensitivity and Specificity of Wearables for Atrial Fibrillation in Elderly Populations: A Systematic Review
Faiza Babar, Abdul Manan Cheema, Zubair Ahmad, et al.
Current Cardiology Reports (2023) Vol. 25, Iss. 7, pp. 761-779
Open Access | Times Cited: 16
Leveraging Regression Analysis to Predict Overlapping Symptoms of Cardiovascular Diseases
Sara Ghorashi, Khunsa Rehman, Anam Riaz, et al.
IEEE Access (2023) Vol. 11, pp. 60254-60266
Open Access | Times Cited: 15
Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives
Zoi Papalamprakopoulou, D. N. Stavropoulos, Serafeim Moustakidis, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 5
Photoplethysmography for the Assessment of Arterial Stiffness
Parmis Karimpour, James M. May, P. A. Kyriacou
Sensors (2023) Vol. 23, Iss. 24, pp. 9882-9882
Open Access | Times Cited: 12
pyPPG: a Python toolbox for comprehensive photoplethysmography signal analysis
Márton Áron Goda, Peter Charlton, Joachim A. Behar
Physiological Measurement (2024) Vol. 45, Iss. 4, pp. 045001-045001
Open Access | Times Cited: 4
Advanced point-of-care biomarker testing for the diagnosis of cardiovascular diseases
Wai‐Kit Ming, Yidan Zhu, Wenjun Jiang, et al.
Sensing and Bio-Sensing Research (2025), pp. 100747-100747
Open Access
Vascular reactivity characterized by PPG-derived pulse wave velocity
Pablo Armañac‐Julián, Spyridon Kontaxis, Jesús Lázaro, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107641-107641
Open Access
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