| 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 |
| Stigma toward Wuhan people during the COVID-19 epidemic: an exploratory study based on social media Y Di, A Li, H Li, P Wu, S Yang, M Zhu, T Zhu, X Liu BMC public health 21, 1-9, 2021 | 16 | 2021 |
| The impact of mortality salience, negative emotions and cultural values on suicidal ideation in COVID-19: a conditional process model F Huang, S Li, D Li, M Yang, H Ding, Y Di, T Zhu International journal of environmental research and public health 19 (15), 9200, 2022 | 5 | 2022 |
| 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 |
| Genetic association analysis of human median voice pitch identifies a common locus for tonal and non-tonal languages Y Di, J Mefford, E Rahmani, J Wang, V Ravi, A Gorla, A Alwan, T Zhu, ... Communications Biology 7 (1), 540, 2024 | | 2024 |
| Predictive modeling of neuroticism in depressed and non-depressed cohorts using voice features Q Luo, Y Di, T Zhu Journal of affective disorders 352, 395-402, 2024 | | 2024 |
| Unraveling the Associations Between Voice Pitch and Major Depressive Disorder: A Multisite Genetic Study Y Di, E Rahmani, J Mefford, J Wang, V Ravi, A Gorla, A Alwan, K Kendler, ... | | 2024 |
| Effect of transcranial direct current stimulation on visual attention span C WANG, WU Fangfang, DI Yazheng, J ZHANG, LI Chong, JI Linhong Journal of Tsinghua University (Science and Technology) 60 (12), 999-1006, 2020 | | 2020 |
