Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Pulse Rate and Transit Time Analysis to Predict Hypotension Events After Spinal Anesthesia During Programmed Cesarean Labor
Juan Bolea, Jesús Lázaro, Eduardo Gil, et al.
Annals of Biomedical Engineering (2017) Vol. 45, Iss. 9, pp. 2253-2263
Closed Access | Times Cited: 21

Showing 21 citing articles:

Heart Rate Variability (HRV) and Pulse Rate Variability (PRV) for the Assessment of Autonomic Responses
Elisa Mejía‐Mejía, Karthik Budidha, Tomas Ysehak Abay, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 127
Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability
Elisa Mejía‐Mejía, James M. May, Róbinson Torres, et al.
Physiological Measurement (2020) Vol. 41, Iss. 7, pp. 07TR01-07TR01
Open Access | Times Cited: 110
Photoplethysmography signal processing and synthesis
Elisa Mejía‐Mejía, John Allen, Karthik Budidha, et al.
Elsevier eBooks (2021), pp. 69-146
Closed Access | Times Cited: 55
Preoperative heart rate variability as a predictor of perioperative outcomes: a systematic review without meta-analysis
Mikkel Nicklas Frandsen, Jesper Mehlsen, Nicolai Bang Foss, et al.
Journal of Clinical Monitoring and Computing (2022) Vol. 36, Iss. 4, pp. 947-960
Open Access | Times Cited: 23
Prediction of spinal anesthesia-induced hypotension during elective cesarean section: a systematic review of prospective observational studies
Changhao Yu, Jinjian Gu, Zhimin Liao, et al.
International Journal of Obstetric Anesthesia (2021) Vol. 47, pp. 103175-103175
Open Access | Times Cited: 31
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
Elisa Mejía‐Mejía, James M. May, Mohamed Elgendi, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 31
Classification of blood pressure in critically ill patients using photoplethysmography and machine learning
Elisa Mejía‐Mejía, James M. May, Mohamed Elgendi, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106222-106222
Closed Access | Times Cited: 28
Development of a Base-Actuated Three-Rhombus Configured Remote Center of Motion Mechanism for Lumbar Puncture
Yuzhou Duan, Jie Ling, Feng Zhao, et al.
Journal of Mechanisms and Robotics (2023) Vol. 16, Iss. 5
Closed Access | Times Cited: 6
Learning and non-learning algorithms for cuffless blood pressure measurement: a review
Nishigandha Agham, Uttam Chaskar
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 6, pp. 1201-1222
Closed Access | Times Cited: 14
Pre‐operative autonomic nervous system function – a missing link for post‐induction hypotension?
Mikkel Nicklas Frandsen, Jesper Mehlsen, Nicolai Bang Foss, et al.
Anaesthesia (2021) Vol. 77, Iss. 2, pp. 139-142
Closed Access | Times Cited: 13
Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography
Tudor Besleaga, Sveeta Badiani, Guy Lloyd, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 6, pp. 2409-2416
Open Access | Times Cited: 10
Intraoperative Beat-to-Beat Pulse Transit Time (PTT) Monitoring via Non-Invasive Piezoelectric/Piezocapacitive Peripheral Sensors Can Predict Changes in Invasively Acquired Blood Pressure in High-Risk Surgical Patients
Michael Nordine, Marius Pille, Jan F. Kraemer, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3304-3304
Open Access | Times Cited: 2
Low-frequency variability in photoplethysmography and autonomic function assessment
John Allen, Fei Chen
Elsevier eBooks (2021), pp. 277-318
Closed Access | Times Cited: 5
Intraoperative Beat-to-Beat Pulse Transit Time (PTT) Monitoring via Non-invasive Piezoelectric/Piezocapacitive Peripheral Sensors Can Predict Changes in Invasively Acquired Blood Pressure in High-Risk Surgical Patients
M Nordine, M Pille, J Kraemer, et al.
(2023)
Open Access | Times Cited: 1
Nonlinear Pulse Wave Dynamics in Prediction of Coronary Heart Disease and Myocardial Infarction
Rahul Kumar, Yogender Aggarwal, Vinod Kumar Nigam, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 5247-5257
Closed Access | Times Cited: 1
Asthmatic subjects stratification using autonomic nervous system information
Javier Milagro, Lorena Soto‐Retes, Jordi Giner, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102802-102802
Closed Access | Times Cited: 2
Comparison of Maternal Stress Response to Midazolam/Fentanyl and Propofol During Cesarean Delivery Under Spinal Anesthesia: A Double-Blinded Randomized Controlled Trial
Afshin Mansourian, Leila Malekmakan, Taraneh Tadayon, et al.
Women’s Health Bulletin (2018) Vol. 6, Iss. 1
Closed Access | Times Cited: 1
Real Time Non-Invasive Hemodynamic Assessment of Ventricular Tachycardia
Tudor Besleaga, Pier D. Lambiase, Adam Graham, et al.
IEEE Access (2020) Vol. 8, pp. 138652-138660
Open Access | Times Cited: 1
Heart Rate Variability Analysis Assessment for Asthma Control Stratification
Javier Milagro, L.P. Soto, Jordi Giner, et al.
Computing in cardiology (2019)
Open Access | Times Cited: 1
Heart Rate Variability Analysis Assessment for Asthma Control Stratification
Javier Milagro, Lorena Soto‐Retes, Jordi Giner, et al.
(2019), pp. 1-4
Closed Access
Application of Neural Networks in the Problem of Indirect Estimation of Blood Pressure According to the Heart Rate Variability Features
Anton Dolganov
2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials (EDM) (2021), pp. 415-418
Closed Access
Page 1

Scroll to top