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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:

Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiography
Antonio Maria Chiarelli, Francesco Bianco, David Perpetuini, et al.
Medical Engineering & Physics (2019) Vol. 73, pp. 39-50
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review
Malak Abdullah Almarshad, Md Saiful Islam, Saad Al-Ahmadi, et al.
Healthcare (2022) Vol. 10, Iss. 3, pp. 547-547
Open Access | Times Cited: 80
Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A Review
Chiara Filippini, David Perpetuini, Daniela Cardone, et al.
Applied Sciences (2020) Vol. 10, Iss. 8, pp. 2924-2924
Open Access | Times Cited: 93
Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning
Fabian Schrumpf, Patrick Frenzel, Christoph Aust, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6022-6022
Open Access | Times Cited: 92
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: 71
Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis
Solam Lee, Yuseong Chu, Jiseung Ryu, et al.
Yonsei Medical Journal (2022) Vol. 63, Iss. Suppl, pp. S93-S93
Open Access | Times Cited: 49
A Deep Learning Approach for Mental Fatigue State Assessment
Jia‐Xing Fan, Lin Dong, Gang Sun, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 555-555
Open Access
Prediction of state anxiety by machine learning applied to photoplethysmography data
David Perpetuini, Antonio Maria Chiarelli, Daniela Cardone, et al.
PeerJ (2021) Vol. 9, pp. e10448-e10448
Open Access | Times Cited: 31
Regions of interest selection and thermal imaging data analysis in sports and exercise science: a narrative review
David Perpetuini, Damiano Formenti, Daniela Cardone, et al.
Physiological Measurement (2021) Vol. 42, Iss. 8, pp. 08TR01-08TR01
Closed Access | Times Cited: 27
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches
Antonio Maria Chiarelli, Pierpaolo Croce, Giovanni Assenza, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 12, pp. 2050067-2050067
Closed Access | Times Cited: 30
Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach
David Perpetuini, Antonio Maria Chiarelli, Daniela Cardone, et al.
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 2137-2137
Open Access | Times Cited: 24
Convolutional Neural Networks for Differential Diagnosis of Raynaud’s Phenomenon Based on Hands Thermal Patterns
Chiara Filippini, Daniela Cardone, David Perpetuini, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3614-3614
Open Access | Times Cited: 22
Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation
Roberto Guidotti, Cosimo Del Gratta, Mauro Gianni Perrucci, et al.
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 1086-1086
Open Access | Times Cited: 22
Photoplethysmogram based vascular aging assessment using the deep convolutional neural network
Hang‐Sik Shin, Gyu‐Jeong Noh, Byung‐Moon Choi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment
David Perpetuini, Antonio Maria Chiarelli, Lidia Maddiona, et al.
Sensors (2019) Vol. 19, Iss. 24, pp. 5570-5570
Open Access | Times Cited: 22
An XGBoost-based model for assessment of aortic stiffness from wrist photoplethysmogram
Yunlong Li, Yang Xu, Zuchang Ma, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107128-107128
Closed Access | Times Cited: 11
Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study
Junyung Park, Hang‐Sik Shin
JMIR Medical Informatics (2022) Vol. 10, Iss. 3, pp. e33439-e33439
Open Access | Times Cited: 10
A Survey of PPG's Application in Authentication
Lin Li, Chao Chen, Lei Pan, et al.
Computers & Security (2023) Vol. 135, pp. 103488-103488
Open Access | Times Cited: 4
Left Atrial Remodeling and Stroke in Patients With Sinus Rhythm and Normal Ejection Fraction: ARIC‐NCS
Francesco Bianco, Raffaele De Caterina, Alvin Chandra, et al.
Journal of the American Heart Association (2022) Vol. 11, Iss. 9
Open Access | Times Cited: 7
Age-Related Changes in the Characteristics of the Elderly Females Using the Signal Features of an Earlobe Photoplethysmogram
Jeong-Woo Seo, Jung-Mi Choi, Kun Ho Lee, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7782-7782
Open Access | Times Cited: 8
Analysis of the Radial Pulse Wave and its Clinical Applications: A Survey
Jinzhong Yang, Lin Yang, Wenyan Liu, et al.
IEEE Access (2021) Vol. 9, pp. 157940-157959
Open Access | Times Cited: 8
Hypoxia Detection for Confined-Space Workers: Photoplethysmography and Machine-Learning Techniques
Yixuan Wei, Longzhe Jin, Shu Wang, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Closed Access | Times Cited: 5
Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection
Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, et al.
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM) (2023), pp. 72-77
Closed Access | Times Cited: 2
Vascular Age Prediction with PPG-Based LSTM Model
Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology
Muhammad Saran Khalid, Ikramah Shahid Quraishi, Muhammad Wasim Nawaz, et al.
Physiological Measurement (2024) Vol. 13, Iss. 2, pp. 025005-025005
Open Access
Neural network models for predicting vascular age from PPG signals: A comparative study
Kiana Pilevar Abrisham, Khalil Alipour, Bahram Tarvirdizadeh, et al.
IET Wireless Sensor Systems (2024)
Open Access
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