Acoustic differences between healthy and depressed people: a cross-situation study J Wang, L Zhang, T Liu, W Pan, B Hu, T Zhu BMC psychiatry 19, 1-12, 2019 | 71 | 2019 |
See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data N Zhao, Z Zhang, Y Wang, J Wang, B Li, T Zhu, Y Xiang PLoS one 14 (5), e0216591, 2019 | 62 | 2019 |
Is transcranial direct current stimulation, alone or in combination with antidepressant medications or psychotherapies, effective in treating major depressive disorder? A … J Wang, H Luo, R Schülke, X Geng, BJ Sahakian, S Wang BMC medicine 19, 1-14, 2021 | 38 | 2021 |
Detecting depression through gait data: examining the contribution of gait features in recognizing depression Y Wang, J Wang, X Liu, T Zhu Frontiers in psychiatry 12, 661213, 2021 | 29 | 2021 |
Depression recognition based on speech analysis W Pan, J Wang, T Liu, X Liu, M Liu, B Hu, T Zhu Chin Sci Bull 63 (20), 2081-2092, 2018 | 24 | 2018 |
Using i-vectors from voice features to identify major depressive disorder Y Di, J Wang, W Li, T Zhu Journal of Affective Disorders 288, 161-166, 2021 | 23 | 2021 |
Objective assessments of mental fatigue during a continuous long-term stress condition H Zhang, J Wang, X Geng, C Li, S Wang Frontiers in human neuroscience 15, 733426, 2021 | 19 | 2021 |
A multi-sensor wearable system for the quantitative assessment of Parkinson’s disease H Zhang, C Li, W Liu, J Wang, J Zhou, S Wang Sensors 20 (21), 6146, 2020 | 18 | 2020 |
Can visual cortex non-invasive brain stimulation improve normal visual function? A systematic review and meta-analysis UM Bello, J Wang, ASY Park, KWS Tan, BWS Cheung, B Thompson, ... Frontiers in neuroscience 17, 1119200, 2023 | 16 | 2023 |
Chinese mood variation analysis based on Sina Weibo W Jingying, GAN Shuoqiu, Z Nan, LIU Tianli, ZHU Tingshao Journal of University of Chinese Academy of Sciences 33 (6), 815, 2016 | 10 | 2016 |
Reform on psychological research in big data age T Zhu, J Wang, N Zhao, X Liu J. Xinjiang Normal Univ 36 (4), 100-107, 2015 | 10 | 2015 |
Detecting postpartum depression in depressed people by speech features J Wang, X Sui, B Hu, J Flint, S Bai, Y Gao, Y Zhou, T Zhu Human Centered Computing: Third International Conference, HCC 2017, Kazan …, 2018 | 7 | 2018 |
Identifying comorbidities from depressed people via voice analysis J Wang, X Sui, T Zhu, J Flint 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 7 | 2017 |
Combining polygenic risk score and voice features to detect major depressive disorders Y Di, J Wang, X Liu, T Zhu Frontiers in Genetics 12, 761141, 2021 | 5 | 2021 |
Measurement of step angle for quantifying the gait impairment of Parkinson’s disease by wearable sensors: controlled study J Wang, D Gong, H Luo, W Zhang, L Zhang, H Zhang, J Zhou, S Wang JMIR mHealth and uHealth 8 (3), e16650, 2020 | 5 | 2020 |
Automatic emotion recognition based on non-contact gaits information J Wang, B Li, C Zhu, S Li, T Zhu Advanced Methodologies and Technologies in Artificial Intelligence, Computer …, 2019 | 5 | 2019 |
Detecting suicide ideation from Sina microblog Y Gao, B Li, X Wang, J Wang, Y Zhou, S Bai, T Zhu 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 5 | 2017 |
Life satisfaction among microblog users: an analysis on linguistic and behavior features J WANG, T ZHU, B HAO Chinese Journal of Public Health 32 (2), 225-229, 2016 | 2 | 2016 |
Classify sina weibo users into high or low happiness groups using linguistic and behavior features J Wang, T Liu, T Zhu, L Zhang, B Hao, Z Chen arXiv preprint arXiv:1507.01796, 2015 | 2 | 2015 |
Epileptic states recognition using transfer learning L Shen, X Geng, H Luo, J Wang, S Wang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 1 | 2019 |