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:
Testing different methodologies for Granger causality estimation: A simulation study
Yuri Antonacci, Laura Astolfi, Luca Faes
2021 29th European Signal Processing Conference (EUSIPCO) (2020)
Open Access | Times Cited: 16
Yuri Antonacci, Laura Astolfi, Luca Faes
2021 29th European Signal Processing Conference (EUSIPCO) (2020)
Open Access | Times Cited: 16
Showing 16 citing articles:
Anomaly Detection and Repairing for Improving Air Quality Monitoring
Federica Rollo, Chiara Bachechi, Laura Po
Sensors (2023) Vol. 23, Iss. 2, pp. 640-640
Open Access | Times Cited: 19
Federica Rollo, Chiara Bachechi, Laura Po
Sensors (2023) Vol. 23, Iss. 2, pp. 640-640
Open Access | Times Cited: 19
Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques
Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, et al.
IEEE Access (2024) Vol. 12, pp. 30638-30652
Open Access | Times Cited: 7
Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, et al.
IEEE Access (2024) Vol. 12, pp. 30638-30652
Open Access | Times Cited: 7
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
Yuri Antonacci, Ludovico Minati, Luca Faes, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e429-e429
Open Access | Times Cited: 24
Brain Connectivity Studies on Structure‐Function Relationships: A Short Survey with an Emphasis on Machine Learning
Simon Wein, Gustavo Deco, Ana Maria Tomé, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 20
Simon Wein, Gustavo Deco, Ana Maria Tomé, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 20
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
M. Ali Vosoughi, Axel Wismüller
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1456-1460
Open Access | Times Cited: 13
M. Ali Vosoughi, Axel Wismüller
2021 29th European Signal Processing Conference (EUSIPCO) (2021), pp. 1456-1460
Open Access | Times Cited: 13
Relation Discovery in Nonlinearly Related Large-Scale Settings
Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 5103-5107
Closed Access | Times Cited: 9
Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 5103-5107
Closed Access | Times Cited: 9
Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality
Angeliki Papana
Entropy (2021) Vol. 23, Iss. 12, pp. 1570-1570
Open Access | Times Cited: 6
Angeliki Papana
Entropy (2021) Vol. 23, Iss. 12, pp. 1570-1570
Open Access | Times Cited: 6
Measuring Connectivity in Linear Multivariate Processes with Penalized Regression Techniques
Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Granger Causality Pattern Learning Equipped with Noise Invalidation Soft Thresholding
Khashayar Bayati, Karthikeyan Umapathy, Soosan Beheshti
(2023), pp. 2028-2032
Closed Access | Times Cited: 2
Khashayar Bayati, Karthikeyan Umapathy, Soosan Beheshti
(2023), pp. 2028-2032
Closed Access | Times Cited: 2
Investigating Large-Scale Network with Unified Granger Causality Analysis
Zhenghui Hu, Fei Li, Minjia Cheng, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 3
Zhenghui Hu, Fei Li, Minjia Cheng, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 3
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
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
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
(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
(2021)
Open Access
