| Year |
Citation |
Score |
| 2023 |
Wang R, He Q, Han C, Wang H, Shi L, Che Y. A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network. Frontiers in Neuroscience. 17: 1177424. PMID 37614342 DOI: 10.3389/fnins.2023.1177424 |
0.668 |
|
| 2023 |
Wang R, Wang H, Shi L, Han C, He Q, Che Y, Luo L. A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network. Frontiers in Aging Neuroscience. 15: 1160534. PMID 37455939 DOI: 10.3389/fnagi.2023.1160534 |
0.647 |
|
| 2022 |
Wang R, Wang H, Shi L, Han C, Che Y. Epileptic Seizure Detection Using Geometric Features Extracted from SODP Shape of EEG Signals and AsyLnCPSO-GA. Entropy (Basel, Switzerland). 24. PMID 36359630 DOI: 10.3390/e24111540 |
0.665 |
|
| 2022 |
Qin Y, Hu Z, Chen Y, Liu J, Jiang L, Che Y, Han C. Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals. Entropy (Basel, Switzerland). 24. PMID 36010760 DOI: 10.3390/e24081093 |
0.679 |
|
| 2021 |
Qin Q, Liu Y, Shan B, Che Y, Han C, Qin Y, Wang R, Wang J. Spike-sorting analysis of neural electrical signals evoked by acupuncture based on model. Cognitive Neurodynamics. 15: 131-140. PMID 33786084 DOI: 10.1007/s11571-020-09650-1 |
0.686 |
|
| 2020 |
Qin Q, Liu YJ, Shan BN, Che YQ, Han CX, Qin YM, Wang J. Spiking Correlation Analysis of Synchronous Spikes Evoked by Acupuncture Mechanical Stimulus. Frontiers in Computational Neuroscience. 14: 532193. PMID 33304259 DOI: 10.3389/fncom.2020.532193 |
0.691 |
|
| 2020 |
Chang S, Wei X, Su F, Liu C, Yi G, Wang J, Han C, Che Y. Model Predictive Control for Seizure Suppression Based on Nonlinear Auto-Regressive Moving-Average Volterra Model. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 32763855 DOI: 10.1109/Tnsre.2020.3014927 |
0.687 |
|
| 2019 |
Han C, Sun X, Yang Y, Che Y, Qin Y. Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals. Entropy (Basel, Switzerland). 21. PMID 33267067 DOI: 10.3390/e21040353 |
0.68 |
|
| 2019 |
Ge Y, Cao Y, Yi G, Han C, Qin Y, Wang J, Che Y. Robust closed-loop control of spike-and-wave discharges in a thalamocortical computational model of absence epilepsy. Scientific Reports. 9: 9093. PMID 31235838 DOI: 10.1038/s41598-019-45639-5 |
0.684 |
|
| 2018 |
Qin Y, Han C, Che Y, Zhao J. Vibrational resonance in a randomly connected neural network. Cognitive Neurodynamics. 12: 509-518. PMID 30250629 DOI: 10.1007/S11571-018-9492-2 |
0.678 |
|
| 2014 |
Wei X, Chen Y, Lu M, Deng B, Yu H, Wang J, Che Y, Han C. An ephaptic transmission model of CA3 pyramidal cells: an investigation into electric field effects. Cognitive Neurodynamics. 8: 177-97. PMID 24808928 DOI: 10.1007/S11571-013-9269-6 |
0.667 |
|
| 2013 |
Han CX, Wang J, Yi GS, Che YQ. Investigation of EEG abnormalities in the early stage of Parkinson's disease. Cognitive Neurodynamics. 7: 351-9. PMID 24427211 DOI: 10.1007/S11571-013-9247-Z |
0.651 |
|
| 2013 |
Che Y, Li R, Han C, Cui S, Wang J, Wei X, Deng B. Topology identification of uncertain nonlinearly coupled complex networks with delays based on anticipatory synchronization. Chaos (Woodbury, N.Y.). 23: 013127. PMID 23556964 DOI: 10.1063/1.4793541 |
0.677 |
|
| 2012 |
Che Y, Geng LH, Han C, Cui S, Wang J. Parameter estimation of the FitzHugh-Nagumo model using noisy measurements for membrane potential. Chaos (Woodbury, N.Y.). 22: 023139. PMID 22757546 DOI: 10.1063/1.4729458 |
0.644 |
|
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