Pan Chen
Papers
1
Total Citations
12
H-Index
1
About
Dr. Pan Chen is a leading researcher in computational suicide prevention and digital mental health, with a focus on identifying suicide risk signals from social media platforms. Her most cited work, "Characteristics of High Suicide Risk Messages From Users of a Social Network—Sina Weibo 'Tree Hole'" (2022, 12 citations), investigates how individuals with suicidal ideation communicate on Sina Weibo, one of China’s largest social networks. By analyzing posts from the "Zoufan" depression community—a prominent online "tree hole" for emotional disclosure—Dr. Chen’s research provides critical insights into the linguistic and behavioral markers of high suicide risk, including collective suicide warnings. This work has significant implications for developing real-time monitoring systems and crisis intervention strategies in digital spaces. Her contributions bridge clinical psychology, data science, and public health, offering a scalable approach to suicide prevention in high-risk online communities. Dr. Chen’s research is foundational for advancing automated risk detection and ethical AI applications in mental health, making her a key figure in the emerging field of computational suicidology.
Research Focus
Key Achievements
Top Papers
- 1