| The WPA-lancet psychiatry commission on the future of psychiatry D Bhugra, A Tasman, S Pathare, S Priebe, S Smith, J Torous, ... The Lancet Psychiatry 4 (10), 775-818, 2017 | 359 | 2017 |
| Predicting active users' personality based on micro-blogging behaviors L Li, A Li, B Hao, Z Guan, T Zhu PloS one 9 (1), e84997, 2014 | 159 | 2014 |
| How fear and collectivism influence public’s preventive intention towards COVID-19 infection: a study based on big data from the social media F Huang, H Ding, Z Liu, P Wu, M Zhu, A Li, T Zhu BMC Public Health 20, 1-9, 2020 | 128 | 2020 |
| How smartphone usage correlates with social anxiety and loneliness Y Gao, A Li, T Zhu, X Liu, X Liu PeerJ 4, e2197, 2016 | 116 | 2016 |
| Using linguistic features to estimate suicide probability of Chinese microblog users L Zhang, X Huang, T Liu, A Li, Z Chen, T Zhu Human Centered Computing: First International Conference, HCC 2014, Phnom …, 2015 | 98 | 2015 |
| Improving user profile with personality traits predicted from social media content R Gao, B Hao, S Bai, L Li, A Li, T Zhu Proceedings of the 7th ACM conference on recommender systems, 355-358, 2013 | 93 | 2013 |
| Detecting depression stigma on social media: A linguistic analysis A Li, D Jiao, T Zhu Journal of affective disorders 232, 358-362, 2018 | 87 | 2018 |
| Creating a Chinese suicide dictionary for identifying suicide risk on social media M Lv, A Li, T Liu, T Zhu PeerJ 3, e1455, 2015 | 73 | 2015 |
| Predicting big five personality traits of microblog users S Bai, B Hao, A Li, S Yuan, R Gao, T Zhu 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 65 | 2013 |
| Sensing Subjective Well-Being from Social Media B Hao, L Li, R Gao, A Li, T Zhu Active Media Technology: 10th International Conference, AMT 2014, Warsaw …, 2014 | 59 | 2014 |
| Predicting depression of social media user on different observation windows Q Hu, A Li, F Heng, J Li, T Zhu 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 49 | 2015 |
| Attitudes towards suicide attempts broadcast on social media: an exploratory study of Chinese microblogs A Li, X Huang, B Hao, B O’Dea, H Christensen, T Zhu PeerJ 3, e1209, 2015 | 46 | 2015 |
| Predicting mental health status on social media: a preliminary study on microblog B Hao, L Li, A Li, T Zhu Cross-Cultural Design. Cultural Differences in Everyday Life: 5th …, 2013 | 46 | 2013 |
| A comparison of the psycholinguistic styles of schizophrenia-related stigma and depression-related stigma on social media: content analysis A Li, D Jiao, X Liu, T Zhu Journal of medical Internet research 22 (4), e16470, 2020 | 38 | 2020 |
| An analysis of stigma and suicide literacy in responses to suicides broadcast on social media A Li, X Huang, D Jiao, B O'Dea, T Zhu, H Christensen Asia‐Pacific Psychiatry 10 (1), e12314, 2018 | 33 | 2018 |
| Suicidal Ideation Risk and Socio-Cultural Factors in China: A Longitudinal Study on Social Media from 2010 to 2018 H Li, Y Han, Y Xiao, X Liu, A Li, T Zhu International Journal of Environmental Research and Public Health 18 (3), 1098, 2021 | 19 | 2021 |
| A systematic analysis of online broadcasts of suicidality in China A Li, X Huang, T Zhu Asia‐Pacific Psychiatry 10 (3), e12302, 2018 | 19 | 2018 |
| Predicting depression from internet behaviors by time-frequency features C Zhu, B Li, A Li, T Zhu 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 383-390, 2016 | 16 | 2016 |
| Predicting psychological features based on web behavioral data: Mental health status and subjective well-being A Li, B Hao, S Bai, T Zhu Chinese Science Bulletin 11, 994-1001, 2015 | 16 | 2015 |
| 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 | 15 | 2021 |
Helen ChristensenProfessor, Psychiatry and Mental Health, University of New South WalesVerified email at unsw.edu.au
