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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:

Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series
Aurora Martins, Riccardo Pernice, Celestino Amado, et al.
Entropy (2020) Vol. 22, Iss. 3, pp. 315-315
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Multiscale Entropy Approaches and Their Applications
Anne Humeau‐Heurtier
Entropy (2020) Vol. 22, Iss. 6, pp. 644-644
Open Access | Times Cited: 49
ENTROPY ANALYSIS OF UNIVARIATE BIOMEDICAL SIGNALS: REVIEW AND COMPARISON OF METHODS
Hamed Azami, Luca Faes, Javier Escudero, et al.
Contemporary mathematics and its applications (2022), pp. 233-286
Open Access | Times Cited: 22
Testing dynamic correlations and nonlinearity in bivariate time series through information measures and surrogate data analysis
Hélder Pinto, Ivan Lazić, Yuri Antonacci, et al.
Frontiers in Network Physiology (2024) Vol. 4
Open Access | Times Cited: 4
Estimating the Mutual Information Rate of Short Time Series from Coupled Dynamic Systems
Hélder Pinto, Yuri Antonacci, Chiara Barà, et al.
(2025)
Closed Access
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks
Laura Sparacino, Yuri Antonacci, Gorana Mijatović, et al.
Neurocomputing (2025), pp. 129675-129675
Open Access
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators
Yuri Antonacci, Ludovico Minati, Luca Faes, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e429-e429
Open Access | Times Cited: 24
Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses
Chiara Barà, Andrea Zaccaro, Yuri Antonacci, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105315-105315
Open Access | Times Cited: 6
Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations
Luca Faes, Riccardo Pernice, Gorana Mijatović, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021) Vol. 379, Iss. 2212
Open Access | Times Cited: 15
Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular control
Hélder Pinto, Riccardo Pernice, Maria Eduarda Silva, et al.
Physiological Measurement (2022) Vol. 43, Iss. 8, pp. 085004-085004
Open Access | Times Cited: 10
Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions
Hélder Pinto, Yuri Antonacci, Riccardo Pernice, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 4
Multiscale Information Decomposition of Long Memory Processes: Application to Plateau Waves of Intracranial Pressure
Hélder Pinto, Celeste Dias, Ana Paula Rocha
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 1753-1756
Closed Access | Times Cited: 6
Assessing Information Transfer and Modification in Plateau Waves of Intracranial Pressure
Hélder Pinto, Celeste Dias, Ana Paula Rocha
(2023), pp. 80-83
Closed Access | Times Cited: 2
Information Dynamics of the Heart and Respiration Rates: a Novel Venue for Digital Phenotyping in Humans
Soheil Keshmiri, Sutashu Tomonaga, Haruo Mizutani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human
Soheil Keshmiri, Sutashu Tomonaga, Haruo Mizutani, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108335-108335
Open Access
Crucial events identify early stage of cardiac autonomic neuropathy progression from ECG signals
Sara Nasrat, Korosh Mahmoodi, Ahsan H. Khandoker, et al.
(2024), pp. 1-4
Closed Access
Local and Global Measures of Information Storage for the Assessment of Heartbeat-Evoked Cortical Responses
Chiara Barà, Andrea Zaccaro, Yuri Antonacci, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Assessing Transfer Entropy in cardiovascular and respiratory time series under long-range correlations
Hélder Pinto, Riccardo Pernice, Celestino Amado, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 748-751
Open Access | Times Cited: 3
ANALYSIS OF CARDIOVASCULAR, CARDIORESPIRATORY, AND VASCULO-RESPIRATORY SIGNALS USING DIFFERENT MACHINE LEARNING TECHNIQUES
Kirti Singh, Indu Saini, Neetu Sood
Biomedical Engineering Applications Basis and Communications (2022) Vol. 35, Iss. 01
Closed Access | Times Cited: 1
A framework based on the information domain to measure coupling changes in electrophysiological signals
Kirti Singh, Indu Saini, Neetu Sood
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 5, pp. 055022-055022
Closed Access
Multiscale Entropy Approaches and Their Applications
Anne Humeau‐Heurtier
MDPI eBooks (2020)
Open Access
Peer Review #3 of "Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators (v0.2)"
David Pascucci
(2021)
Open Access
Peer Review #3 of "Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators (v0.1)"
David Pascucci
(2021)
Open Access
Peer Review #1 of "Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators (v0.1)"

(2021)
Open Access
Peer Review #2 of "Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators (v0.2)"

(2021)
Open Access
Peer Review #2 of "Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators (v0.1)"

(2021)
Open Access
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