Mengbi Ye
Researcher
Also affiliated: United States Food and Drug Administration (2016); Center for Devices and Radiological Health (2016); National University of Singapore (2023); Office of Science (2016)
Unknown Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Mengbi Ye's research investigates the application of artificial intelligence in understanding human mobility patterns, particularly in the context of urban transportation and public health. Their work includes a systematic review of geospatial artificial intelligence (GeoAI) in human geography, published in 2024. Another recent publication from 2023 analyzes the mobility patterns of Mass Rapid Transit (MRT) passengers in Singapore during the COVID-19 pandemic using smart card data. Ye has a h-index of 2 with 4 total publications and 156 citations. Key collaborators include Moein Hemmati and Michaelmary Chukwu, both from the University of Arkansas at Fayetteville, with whom Ye has co-authored one publication each.
Metrics
- h-index: 2
- Publications: 4
- Citations: 158
Selected Publications
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Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review (2024)
Collaboration Network
Top Collaborators
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
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