Yonghong Chen

Cognitive Neuroscience · 2004–2006

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 15 citations into it; #1,547 of 10,852 by trust here, #2,376 by citations
• Artificial Intelligence — 10 citations into it; #12,742 of 35,345 by trust here, #17,412 by citations
• Control and Systems Engineering — 10 citations into it
• Signal Processing — 6 citations into it; #3,171 of 7,572 by trust here, #4,900 by citations

Whom Yonghong Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Clive W. J. Granger
2. Mingzhou Ding
3. Yuzo Hosoya
4. Thomas Schreiber
5. Steven L. Bressler
6. Andrea Brovelli
7. Maciej Kaminski
8. Alard Roebroeck
9. R. Quian Quiroga
10. Elia Formisano

Who trusts Yonghong Chen overall

1. Jerry Quispe
2. Mingzhou Ding
3. M. Dhamala
4. Xiaohai Sun
5. Lionel C. Barnett
6. Anil K. Seth
7. Xiao-Jing Wang
8. Justin H. G. Dauwels
9. Steven L. Bressler
10. Govindan Rangarajan

Papers from Yonghong Chen's perspective

Ordered by how strongly the researchers Yonghong Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
2. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance (Biological cybernetics)
3. Investigating causal relations by econometric models and cross-spectral methods
4. Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. (Magnetic Resonance Imaging)
5. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. (Proceedings of the National Academy of Sciences of the United States of America)
6. Elimination of Third‐series Effect and Defining Partial Measures of Causality
7. Time Series Modelling and Interpretation
8. Mapping directed influence over the brain using Granger causality and fMRI (NeuroImage)
9. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment (Biological cybernetics)
10. Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. (Journal of Neuroscience Methods)

Their papers

• Analyzing multiple nonlinear time series with extended Granger causality (2004) — 397 citations
• Granger Causality: Basic Theory and Application to Neuroscience (2006) — 705 citations
• Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. (2006) — 342 citations
• Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. (2004) — 1,122 citations