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Jing Jin*, Hanhan Zhang, Daly Ian, Xingyu Wang, Andrzej Cichocki，An improved P300 pattern in BCI to catch user‘s attention, Journal of Neural Engineering, 2017.https://doi.org/10.1088/1741-2552/aa6213. (EI, SCI, IF:3.493)
Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin, Bei Wang, Xingyu Wang, Andrzej Cichocki, Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces，Expert Systems with Applications, 2017, 96: 302-310 ,DOI10.1016/j.eswa.2017.12.015
Yu Zhang, Bei Wang, Jing Jin, Jian Zhang, Junzhong Zou, Masatoshi Nakamura. A comparison study on multi-domain EEG features for sleep stage classification. Computational Intelligence and Neuroscience, 2017;2017:4574079.doi: 10.1155/2017/4574079
Yu zhang, Guoxu Zhou, Jing Jin, Yangsong Zhang, Xingyu Wang, Andrzej Cichocki, Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition. Neurocomputing, 2017,225(15): 103-110. (EI, SCI, IF:2.392)
Wei Li, Jin Jing, Feng Duan, Cognitive-Based EEG BCIs and Human Brain-Robot Interactions, Computational Intelligence and Neuroscience, 2017 , 2017 :9471841
Yong Jiao, Yu Zhang, Yu Wang, Bei Wang, Jing Jin, Xingyu Wang. A novel multilayer correlation maximization model for improving CCA-based frequency recognition in SSVEP brain-computer interface. International Journal of Neural Systems, 2017https://doi.org/10.1142/S0129065717500393(2017)
Jiankui Feng, Erwei Yin, Jing Jin*, Rami Saab, Ian Daly, Xingyu Wang, Dewen Hu, Andrzej Cichocki, Towards correlation-based time window selection method for motor imagery BCIs, Neural Networks, 2018, doi.org/10.1016/j.neunet.2018.02.011，(EI, SCI, IF:5.287)
Jiao Cheng, Jing Jin*, Ian Daly, Yu Zhang, Bei Wang, Xingyu Wang, Andrzej Cichocki , Effect of a combination of flip and zooming stimuli on the performance of a visual Brain–computer interface for spelling, Biomedical Engineering/Biomedizinische Technik, 2018, https://doi.org/10.1515/bmt-2017-0082 (EI, SCI, IF:0.915)
Minqiang Huang, Jing Jin*, Yu Zhang, Dewen Hu, Xingyu wang，Usage of drip drops as stimuli in an auditory P300 BCI paradigm, Cognitive Neurodynamics, 2018,12(1)：85-9 (EI, SCI, IF:1.828)
Zhaoyang Qiu, Brendan Z. Allison, Jing Jin*, Yu Zhang, Xingyu Wang, Wei Li, Andrzej Cichocki, Optimized motor imagery paradigm based on imagining Chinese characters writing movement, IEEE Transactions on Neural Systems and Rehabilitation Engineering,2017, 25 (7) :1009-1017 (EI, SCI, IF:2.583) SCI
Yu zhang, Yu Wang, Jing Jin*, Xingyu Wang, Sparse bayesian learning for obtaining sparsity of EEG frequency bands based feature vectors in motor imagery classification, 2016,International Journal of Neural systems, 2017, 27(2):1650032 (EI, SCI, IF:6.085)
Jiao Chen, Jing Jin*,Xingyu Wang, Comparison of the BCI Performance between the Semitransparent Face Pattern and the Traditional Face Pattern, Computational Intelligence and Neuroscience, 2017;2017:1323985. doi: 10.1155/2017/1323985 （SCI, EI，IF:1.215）
Sijie Zhou, Brendan Z Allison, Andrea Kübler, Andrzej Cichocki, Wang Xingyu and Jing Jin*, Effects of background music on objective and subjective performance measures in an auditory BCI, Frontiers in Computational Neuroscience. 2016, 10(105), doi: 10.3389/fncom.2016.00105 (EI, SCI, IF:2.653)
Zhao Yang Qiu, Jing Jin*, Hak-Keung Lam, Yu Zhang, Xingyu Wang, Andrzej Cichocki, Improved SFFS method for channel selection in motor imagery based BCI. Neurocomputing, 2016. 27(26): 519–527 (EI, SCI, IF:2.392)
Minqiang Huang, Ian Daly, Jing Jin*, Yu Zhang, Xingyu Wang, Andrzej Cichocki, An exploration of spatial auditory BCI paradigms with different sounds: music notes versus beeps, Cognitive Neurodynamics, 2016: 10(3):201-9. doi: 10.1007/s11571-016-9377-1 (SCI，IF:2.195)
Long Chen, Jing Jin*, Ian Daly,Yu Zhang, Xingyu Wang, Andrzej Cichocki,Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs, Frontiers in Computational Neuroscience,2016, 10(5): 5 , dx.doi.org/10.3389/fncom.2016.00005 (EI, SCI, IF:2.653)
Haiqiang Wang,Yu Zhang, Nicholas R. Waytowich, Dean J. Krusienski, Guoxu Zhou, Jing Jin, Xingyu Wang*, Andrzej Cichocki, Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-based BCI, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(5):532-541, DOI: 10.1109/TNSRE.2016.2519350(EI, SCI, IF:2.583)
Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, and Andrzej Cichocki,Sparse Bayesian Classification of EEG for Brain-Computer Interface. IEEE Transactions on Neural Networks and Learning Systems. 2016, 27(11):2256-2267 Sep 23. (EI, SCI, IF:4.864)
Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki, Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface. Journal of Neuroscience Methods, 2015; 255: 85-91. (SCI，IF:2.053)
Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki, SSVEP recognition using common feature analysis in brain-computer interface. Journal of Neuroscience Methods. 2015; 244:8-15 (IF:2.053)
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