主要研究方向，大数据医学影像处理，模式识别。

现任Frontier in neuroscience(2区) 客座主编

1. Yang Gao，Yan Tang*，Hao Zhang，Yuan Yang，Tingting Dong，Qiaolan Jia. Sex Diferences of Cerebellum and Cerebrum: Evidence from Graph Convolutional Network.InterdiscipSciComputLifeSci(2022).https://doi.org/10.1007/s12539-021-00498-5

2. Tingting Dong , Qiuping Huang , Shucai Huang , Jiang Xin , Qiaolan Jia , Yang Gao, Hongxian Shen, Yan Tang* and Hao Zhang.Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging Front. Psychol. 12:717519.doi: 10.3389/fpsyg.2021.717519

3. Xin Lai , Qiuping Huang, Jiang Xin, Hufei Yu, Jingxi Wen, Shucai Huang,Hao Zhang, Hongxian Shen and Yan Tang*.Identifying Methamphetamine Abstainers With Convolutional Neural Networks and Short-Time Fourier Transform[J]. Frontiers in psychology, 12:684001.

4. Man Sun1, Hua Xie and Yan Tang*. Directed Network Defects in Alzheimer's Disease Using Granger Causality and Graph Theory[J]. Current Alzheimer Research, 2020.

5.Jiang Xin, Yaoxue Zhang, Yan Tang* and Yuan Yang.Brain Differences Between Men and Women: Evidence From DeepLearning. Front. Neurosci. 13:185.doi: 10.3389/fnins.2019.00185

6.Kailin Zhang, Yan Tang*, Li Meng, Liping Zhu, Xiaoting Zhou, Yuwen Zhao, Xinxiang Yan,Beisha Tang, Jifeng Guo. The Effects of SNCA rs894278 on Resting-State Brain Activity in Parkinson's Disease.[J]. Frontiers in neuroscience, 2019.

7.Yan Tang*,  Liu Bailin ,  Yuan Yang , Chang-min Wang , Li Meng , Bei-sha Tang, Ji-feng Guo. Identifying mild-moderate Parkinson's disease using whole-brain functional connectivity[J]. Clinical Neurophysiology, 2018, 129(12).

8.Hua Zhou, Zuping Zhang, Fang Huang, andYan Tang*. Impact of Cerebral Microbleeds on White Matter Microstructures in Ischemic Cerebral Vascular Disease: A Diffusion Tensor Imaging Study[J]. Journal of Medical Imaging and Health Informatics, 2018.

9.Hua Zhou , Yan Tang*and Zhi Yuan. White matter asymmetries in patients with cerebral small vessel disease[J]. Journal of Integrative Neuroscience, 2018, 17(2):293.

10.Yan Tang*, Xue Xiao, Hua Xie, Chang-min Wan, Li Meng, Zhen-hua Liu,Wei-hua Liao, Bei-sha Tangand Ji-feng Guo Altered Functional Brain Connectomes between Sporadic and Familial Parkinson’s Patients. Front. Neuroanat. 11:99.doi: 10.3389/fnana.2017.00099

11.Yan Tang*, Li Meng, Chang-min Wan, Zhen-hua Liu, Wei-hua Liao,Xin-xiang Yan, Xiao-yu Wang, Bei-sha Tang, Ji-feng Guo. Identifying the presence of Parkinson's disease using low-frequency fluctuations in BOLD signals[J]. Neuroscience Letters, 2017, 645:1-6

12.Yan Tang*, Jun Long, WeiWang, Jian Liao, HuaXie, Guihu Zhao and Hao Zhang. Aberrant functional brain connectome in people with antisocial personality disorder. Sci Rep. 2016 Jun 3;6:26209. doi: 10.1038/srep26209. PMID: 27257047; PMCID: PMC4891727.

13.Hua Zhou, Yan Tang*, Yin Liu, and Wei Wang.Atypical Cortical Thickness and Subcortical Volumes in Cerebral Microbleed Patients:A Combined Free Surfer and Diffusion Tensor Imaging Study.Journal of Medical Imaging and Health Informatics Vol. 5, 1–8, 2015.

14.Yan Tang*, weixiong Jiang, Jian Liao, Wei Wang and AijingLuo,Identifying individuals with antisocial personality disorder using resting-state fMRI, Plos one, 2013 8(4):e60652

15.Jiang W,Liu H, Liao J,Ma X, Rong P,Yan Tang*, Wang W. A functional MRI study of deception among offenders with antisocial personality disorders, neuroscience, 2013 6(244):90-8

16.Yan Tang*, Liu w,Chen J,Liao J, Hu D, Wang W. Altered spontaneous activity in antisocial personality disorder revealed by regional homogeneity, neuroreport, 2013: doi: 10.1097/WNR.0b013e3283627993

17.Yan Tang*, Lifeng  WangI, Fang Cao, Liwen Tan.　Identify schizophrenia using resting-state functional connectivity: an exploratory research and analysis, BioMedical Engineering OnLine, 2012, 8

18.Zhou Hua, Yan Tang*．Removal of ballistocardiogram artifacts from EEG recorded during continuous fMRI using JADE. The 5th International Conference on Bioinformatics and Biomedical Engineering．2011：1-4

19.Yu Xunquan, Yan Tang*. Research of Brain-Computer Interface based on the Time-Frequency-Spatial Filter.  The 3th International Conference on Bioinformatics and Biomedical Engineering．Beijing, China ,2009：1-4

20.Yan Tang*, Tang Jingtian, Gong Andong, Wang Wei．Classifying EEG signals based HMM-AR． 2st International Conference on Bioinformatics and Biomedical Engineering ． Shanghai,  China, 2008, 5：2111~2114

21.Yan Tang*, Tang Jingtian, Gong Andong．Multi-Class EEG Classification for Brain Computer Interface based on CSP．International Conference on BioMedical Engineering and Informatics． Hainan, China, 2008,5:469-472

22.Gong Andong, Cai zixing, Yan Tang*．Distinguishing between left and right finger movement from EEG using SVM． 1st International Conference on Bioinformatics and Biomedical Engineering．Wuhan, China, 2007,7：572~575．

23.Yan Tang*, Tang Jingtian, Gong Andong．Removal of ocular artifact from EEG using JADE． 1st International Conference on Bioinformatics and Biomedical Engineering．Wuhan, China, 2007, 7：576~579．

24.Zou Qing, Tang Jingtian, Yan Tang*．Hilbert-Huang transform for ECG de-noising． 1st International Conference on Bioinformatics and Biomedical Engineering．Wuhan, China, 2007, 7：676~679．