1.J. Cheng, Xun Chen*, L. Xu, Z. J. Wang, “Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition”, IEEE Journal of Biomedical and Health Informatics, to appear, 2017. DOI: 10.1109/JBHI.2016.2615472
2.Y. Liu, Xun Chen*, H. Peng, Z. Wang, “Multi-focus image fusion with a deep convolutional neural network”, Information Fusion, vol. 36, pp. 191–207, 2017.
3.Xun Chen, H. Peng, F. Yu, K. Wang, “Independent Vector Analysis Applied to Remove Muscle Artifacts in EEG Data,” IEEE Transactions on Instrumentation & Measurement, to appear, 2017. DOI:10.1109/TIM.2016.2608479
4.Y. Liu, Xun Chen*, R. Ward, Z. J. Wang, “Image Fusion With Convolutional Sparse Representation”, IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1882-1886, 2016.
5.A. Liu, Xun Chen*, M. J. McKeown, Z. J. Wang, “A Combined Static and Dynamic Model for Resting State fMRI Brain Connectivity Networks: Application to Parkinson's Disease,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 1172-1181, 2016.
6.Xun Chen, Z. Jane Wang, M. J. McKeown, “Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods,” IEEE Signal Processing Magazine, vol. 33, no. 3, pp. 86-107, 2016.
7.Liang Zou, Xun Chen*, Z. Jane Wang, “Underdetermined Joint Blind Source Separation for 2 datasets based on Tensor Decomposition,” IEEE Signal Processing Letters, vol. 23, no. 5, pp. 673-677, 2016.
8.Xun Chen, A. Liu, Joyce Chiang, Z. Jane Wang, Martin J. McKeown, Rabab K. Ward, “Removing Muscle Artifacts from EEG Data: Multichannel or Single-Channel Techniques?” IEEE Sensors Journal, vol. 16, no. 7, pp. 1986-1997, 2016.
9.Liang Zou, Xun Chen*, Amir Servati, Saeid Soltanian, Peyman Servati, Z. Jane Wang, “A Blind Source Separation Framework for Monitoring Heart Beat Rate using Nanofiber based Strain Sensors,” IEEE Sensors Journal, vol. 16, no. 3, pp. 762-772, 2016.
10.A. Liu, Xun Chen*, M. J. Mckeown, Z. J. Wang, A Sticky Weighted Regression Model for Time-Varying Resting State Brain Connectivity Estimation, IEEE Transactions on Biomedical Engineering, vol. 62, no. 2, pp. 501-510, 2015.
11.C. He, Xun Chen*, Z. J. Wang, Performance of General STCs over Spatially Correlated MIMO Single-keyhole Channels, IEEE Transactions on Vehicular Technology, vol. 64, no. 7, pp. 3285-3291, 2015.
12.Xun Chen, A. Liu, M. J. McKeown, H. Poizner, Z. J. Wang, An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis, IEEE Transactions on Biomedical Engineering, vol. 61, no. 7, pp. 2187-2198, 2014.
13.Xun Chen, Z. J. Wang, M. J. Mckeown, A Three-step Method for Corticomuscular Activity Modeling with Application to Parkinson's Disease, IEEE Transactions on Information Technology in Biomedicine, vol. 18, no. 4, pp. 1232-1241, 2014.
14.Xun Chen, C. He, Z. J. Wang, M. J. Mckeown, An IC-PLS Framework for Corticomuscular Coupling Analysis, IEEE Transactions on Biomedical Engineering, vol. 60, no. 7, pp. 2022-2033, 2013.
15.Xun Chen, X. Chen, R. K. Ward, Z. J. Wang, A Joint Multimodal Group Analysis Framework for Modeling Corticomuscular Activity, IEEE Transactions on Multimedia, vol. 15, no. 5, pp. 1049-1059, 2013.
16.Xun Chen, Z. J. Wang, “Pattern Recognition of Number Gestures Based on A Wireless Surface EMG System,” Biomedical Signal Processing & Control, vol. 8, no. 2, pp. 184–192, March 2013. (One of the 5 most highly cited papers in this journal)(Most Cited Articles)