| Researching mental health disorders in the era of social media: systematic review A Wongkoblap, MA Vadillo, V Curcin Journal of medical Internet research 19 (6), e228, 2017 | 305 | 2017 |
| Public opinions on using social media content to identify users with depression and target mental health care advertising: mixed methods survey E Ford, K Curlewis, A Wongkoblap, V Curcin JMIR mental health 6 (11), e12942, 2019 | 55 | 2019 |
| Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study A Wongkoblap, M Vadillo, V Curcin JMIR Mental Health, 2021 | 43* | 2021 |
| Modeling depression symptoms from social network data through multiple instance learning A Wongkoblap, MA Vadillo, V Curcin AMIA Summits on Translational Science Proceedings 2019, 44, 2019 | 31 | 2019 |
| A multilevel predictive model for detecting social network users with depression A Wongkoblap, MA Vadillo, V Curcin 2018 IEEE International Conference on Healthcare Informatics (ICHI), 130-135, 2018 | 30 | 2018 |
| Detecting and treating mental illness on social networks A Wongkoblap, MA Vadillo, V Curcin 2017 IEEE International Conference on Healthcare Informatics (ICHI), 330-330, 2017 | 25 | 2017 |
| Social media big data analysis for mental health research A Wongkoblap, MA Vadillo, V Curcin Mental Health in a Digital World, 109-143, 2022 | 14 | 2022 |
| Predicting social network users with depression from simulated temporal data A Wongkoblap, MA Vadillo, V Curcin IEEE EUROCON 2019-18th International Conference on Smart Technologies, 1-6, 2019 | 14 | 2019 |
| Classifying depressed users with multiple instance learning from social network data A Wongkoblap, MA Vadillo, V Curcin 2018 IEEE International Conference on Healthcare Informatics (ICHI), 436-436, 2018 | 10 | 2018 |
| Automatic Profiles Collection from Twitter Users with Depressive Symptoms A Wongkoblap Healthcare Transformation with Informatics and Artificial Intelligence, 419-422, 2023 | 2 | 2023 |
| Multiple Instance Learning for Detecting Depression Markers in Social Media Content A Wongkoblap King's College London, 2021 | 1 | 2021 |
| Linking mental health to social network data A Wongkoblap, MAV Nistal, V Curcin Proceedings-Informatics for Health 2017, 33, 2017 | | 2017 |
Vasa CurcinProfessor of health informatics, King's College Londonبريد إلكتروني تم التحقق منه على kcl.ac.uk