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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:

Network Physiology: From Neural Plasticity to Organ Network Interactions
Plamen Ch. Ivanov, Kang K. L. Liu, Aijing Lin, et al.
Springer proceedings in physics (2017), pp. 145-165
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

The New Field of Network Physiology: Building the Human Physiolome
Plamen Ch. Ivanov
Frontiers in Network Physiology (2021) Vol. 1
Open Access | Times Cited: 105
Network Physiology of Exercise: Vision and Perspectives
Natàlia Balagué, Robert Hristovski, Maricarmen Almarcha, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 92
Network Physiology of Cortico–Muscular Interactions
Rossella Rizzo, Xiyun Zhang, Jilin W. J. L. Wang, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 47
Multivariate Correlation Measures Reveal Structure and Strength of Brain–Body Physiological Networks at Rest and During Mental Stress
Riccardo Pernice, Yuri Antonacci, Matteo Zanetti, et al.
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 37
Network of muscle fibers activation facilitates inter-muscular coordination, adapts to fatigue and reflects muscle function
Sergi García‐Retortillo, Carlos Romero-Gómez, Plamen Ch. Ivanov
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 15
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
Network Physiology of Exercise: Beyond Molecular and Omics Perspectives
Natàlia Balagué, Robert Hristovski, Maricarmen Almarcha, et al.
Sports Medicine - Open (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 21
Metabolic Physiological Networks: The Impact of Age
Antonio Barajas‐Martínez, Jonathan F. Easton, Ana Leonor Rivera, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 18
Towards new concepts for a biological neuroscience of consciousness
Camilo Miguel Signorelli, Daniel Meling
Cognitive Neurodynamics (2021) Vol. 15, Iss. 5, pp. 783-804
Open Access | Times Cited: 17
Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders
Rossella Rizzo, Jilin W. J. L. Wang, Anna DePold Hohler, et al.
Frontiers in Network Physiology (2023) Vol. 3
Open Access | Times Cited: 6
Weighted multivariate composite multiscale sample entropy analysis for the complexity of nonlinear times series
Ningning Zhang, Aijing Lin, Hui Ma, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 508, pp. 595-607
Closed Access | Times Cited: 16
Integrative Analysis of miRNA and mRNA Expression Profiles Associated With Human Atrial Aging
Yan Yao, Chenxi Jiang, Fan Wang, et al.
Frontiers in Physiology (2019) Vol. 10
Open Access | Times Cited: 13
Generalized Poincaré plots analysis of heart period dynamics in different physiological conditions: Trained vs. untrained men
M. Platiša, Tijana Bojić, Sanja Mazić, et al.
PLoS ONE (2019) Vol. 14, Iss. 7, pp. e0219281-e0219281
Open Access | Times Cited: 9
Probabilistic divergence of permutations for nonlinearity detection
Wenpo Yao, Jin Li, Fengzhen Hou, et al.
Physica A Statistical Mechanics and its Applications (2019) Vol. 532, pp. 121802-121802
Closed Access | Times Cited: 8
From Exercise Physiology to Network Physiology of Exercise
Natàlia Balagué, Sergi García‐Retortillo, Robert Hristovski, et al.
IntechOpen eBooks (2022)
Open Access | Times Cited: 5
Symbolic joint entropy reveals the coupling of various brain regions
Xiaofei Ma, Xiaolin Huang, Sidan Du, et al.
Physica A Statistical Mechanics and its Applications (2017) Vol. 490, pp. 1087-1095
Closed Access | Times Cited: 7
Differentiation of Heart Failure Patients by the Ratio of the Scaling Exponents of Cardiac Interbeat Intervals
M. Platiša, N. Radovanović, Aleksandar Kalauzi, et al.
Frontiers in Physiology (2019) Vol. 10
Open Access | Times Cited: 7
Sleep-Dependent Directional Interactions of the Central Nervous System-Cardiorespiratory Network
Juan Yang, Yu Pan, Tingting Wang, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 68, Iss. 2, pp. 639-649
Closed Access | Times Cited: 7
Network physiology of ‘fight or flight’ response in facial superficial blood vessels
Amin Derakhshan, Mohammad Mikaeili, Ali Motie Nasrabadi, et al.
Physiological Measurement (2018) Vol. 40, Iss. 1, pp. 014002-014002
Closed Access | Times Cited: 6
Signal processing in Network Physiology: quantifying network dynamics of organ interactions
Plamen Ch. Ivanov, Jilin W. J. L. Wang, Xiyun Zhang
2021 29th European Signal Processing Conference (EUSIPCO) (2020), pp. 945-949
Closed Access | Times Cited: 6
The New Frontier of Network Physiology: Emerging Physiologic States in Health and Disease from Integrated Organ Network Interactions
Plamen Ch. Ivanov, Jilin W. J. L. Wang, Xiyun Zhang, et al.
MATRIX book series (2021), pp. 237-254
Closed Access | Times Cited: 6
Effects of Acute Partial Sleep Deprivation and High-Intensity Interval Exercise on Postprandial Network Interactions
Zacharias Papadakis, Sergi García‐Retortillo, Panagiotis Koutakis
Frontiers in Network Physiology (2022) Vol. 2
Open Access | Times Cited: 4
Physiologic regulation in sleep
Plamen Ch. Ivanov, Pier Luigi Parmeggiani, Ronny P. Bartsch
Elsevier eBooks (2023), pp. 39-50.e1
Closed Access | Times Cited: 2
A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment
Faezeh Marzbanrad, Negin Yaghmaie, Herbert F. Jelinek
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning
Samara Acosta-Jiménez, Miguel M. Mendoza-Mendoza, Carlos E. Galván-Tejada, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 14, Iss. 1
Closed Access
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