Dr. Xin Li | Visual Landscape Awards | Best Researcher Award
Dr. Xin Li, Beijing University of Civil Engineering and Architecture, China
Professional Profile:
Summary of Suitability for Best Researcher Award
Li Xin holds a Bachelor’s, Master’s, and PhD in Landscape Architecture from Beijing Forestry University and currently lectures at the College of Architecture and Urban Planning at Beijing University of Civil Engineering and Architecture. Her extensive educational background supports her expertise in landscape architecture.
Education 🎓
- PhD in Landscape Architecture
Beijing Forestry University - Master’s Degree in Landscape Architecture
Beijing Forestry University - Bachelor’s Degree in Landscape Architecture
Beijing Forestry University
Work Experience 💼
- Lecturer
College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture- Engaged in theoretical research and design practice in landscape planning and design.
Achievements 🌟
- Distinguished Award, 2022 IFLA Asia, Africa, and Middle East Landscape Professional Award
- Honorable Mention, 2021 IFLA Asia Pacific Landscape Award
- Completed numerous research and practical projects:
- Ongoing Practical Projects: 1
- Journal Papers: 9
- Conference Papers: 4
- Research Projects: 5
- Completed Practical Projects: 10
- Published Articles: 7 articles in SCI and Scopus journals
- Consultancy Projects: 12
Awards and Honors 🏆
- Distinguished Award from IFLA Asia, Africa, and Middle East (2022)
- Honorable Mention from IFLA Asia Pacific (2021)
- Recognized for contributions to landscape perception and health impact research.
Publication Top Notes:
Urban Resilience of Large Public Health Events Based on NPP-VIIRS Nighttime Light Images: A Case Study of 35 Large Cities in China
The Effect of Perceived Real-Scene Environment of a River in a High-Density Urban Area on Emotions
Effects of River Scale on the Aesthetic Quality of Urban On-Water Sightseeing
Prediction of riverside greenway landscape aesthetic quality of urban canalized rivers using environmental modeling
Dynamic simulation of land use change and assessment of carbon storage based on climate change scenarios at the city level: A case study of Bortala, China
Research on visual perception evaluation of urban riverside greenway landscape based on deep learning
Dr. Xin Li | Visual Landscape Awards | Best Researcher Award