Biography and Research Information
OverviewAI-generated summary
Mengbi Ye's research focuses on the application of artificial intelligence and data analysis in understanding human behavior and mobility patterns. Ye's work includes a systematic review of geospatial artificial intelligence (GeoAI) within quantitative human geography, aiming to map the current landscape and identify future research directions. Additionally, Ye has investigated the mobility patterns of Mass Rapid Transit (MRT) passengers in Singapore during the COVID-19 pandemic, utilizing smart card data to analyze changes in travel behavior. Ye has published four papers, accumulating 153 citations, and holds an h-index of 2. 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: 155
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
Mingjia Chen
National University of Singapore (SG)
1 shared publication
- Understanding the mobility patterns of Mass Rapid Transit (<scp>MRT</scp>) passengers amid <scp>COVID</scp>‐19 in Singapore using smart card data
Yingwei Yan
National University of Singapore (SG)
1 shared publication
- Understanding the mobility patterns of Mass Rapid Transit (<scp>MRT</scp>) passengers amid <scp>COVID</scp>‐19 in Singapore using smart card data
Chen‐Chieh Feng
National University of Singapore (SG)
1 shared publication
- Understanding the mobility patterns of Mass Rapid Transit (<scp>MRT</scp>) passengers amid <scp>COVID</scp>‐19 in Singapore using smart card data
Shuting Chen
National University of Singapore (SG)
1 shared publication
- Understanding the mobility patterns of Mass Rapid Transit (<scp>MRT</scp>) passengers amid <scp>COVID</scp>‐19 in Singapore using smart card data
Jing Wang
National University of Singapore (SG)
1 shared publication
- Understanding the mobility patterns of Mass Rapid Transit (<scp>MRT</scp>) passengers amid <scp>COVID</scp>‐19 in Singapore using smart card data
Siqin Wang
University of Southern California (US)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Xiao Huang
Emory University (US)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Pengyuan Liu
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Mengxi Zhang
Carilion Clinic (US)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Filip Biljecki
National University of Singapore (SG)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Tao Hu
Oklahoma State University (US)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Xiaokang Fu
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Lingbo Liu
Harvard University (US)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Xintao Liu
Hong Kong Polytechnic University (HK)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Ruomei Wang
University of Southern California (US)
1 shared publication
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
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