Dr. Lan is a human geographer with expertise in Geographic Information Systems (GIS), spatial statistics, crime science, public health, and big data mining. He is particularly interested in applying interdisciplinary theories and methods to address real-world problems. He believes that researchers should actively embrace emerging data sources and data-driven approaches, while ensuring that their work remains grounded in and informed by established theoretical frameworks.

Dr. Lan currently serves as the Director of the Spatial Social Science Research Lab. His research and publications focus on the application of spatial analysis to spatiotemporal crime patterns, theoretical advancements in criminology, and the ongoing substance abuse epidemic:

1. Spatiotemporal analysis and its applications in crime, public health, and human sustainability
2. Data mining, GeoAI, and natural language processing (NLP), particularly applied to social media big data
3. The substance abuse epidemic and drug-related issues

Research Profiles

• Google Scholar: https://scholar.google.com/citations?user=I6XAgVEAAAAJ&hl
• ORCID: https://orcid.org/0000-0002-4528-9544
• ResearchGate: https://www.researchgate.net/profile/Minxuan_Lan
• ScholarGPS: https://scholargps.com/scholars/68302453956566/minxuan-lan 
• Web of Science: https://www.webofscience.com/wos/author/record/1957117