Jingjing Huang

Shanghai Jiao Tong University, Donghua University

Papers

2

Total Citations

36

H-Index

2

About

Jingjing Huang is a multidisciplinary researcher whose work spans two remarkably distinct yet equally impactful fields: digital mental health and advanced materials science. In the domain of psychiatry and clinical psychology, Huang has made significant strides in exploring the integration of artificial intelligence into psychotherapy, particularly for anxiety disorders — the most prevalent psychiatric conditions in China. Their 2022 prospective, national multicenter randomized controlled trial protocol investigating AI-assisted psychotherapy has already garnered 21 citations, highlighting the growing urgency for scalable, technology-driven mental health solutions in resource-limited settings. Complementing this work, Huang has also demonstrated remarkable versatility through pioneering contributions to smart materials engineering, specifically the development of temperature-adaptive elastic conductive fibers designed for electronic textiles, wearables, and soft robotics. Their 2025 publication on component-dynamic-coordinated strategies for high-performance elastic conductive fibers has rapidly accumulated 15 citations, signaling its immediate relevance to the field. Together, these contributions position Huang as a uniquely cross-disciplinary scientist whose research bridges human well-being and technological innovation, addressing pressing challenges in both healthcare delivery and next-generation functional materials.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Efficacy of Artificial Intelligence-Assisted Psychotherapy in Patients With Anxiety Disorders: A Prospective, National Multicenter Randomized Controlled Trial Protocol
21 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Shanghai Jiao Tong University, Donghua University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago