Bing She
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Human Mobility and Location-Based Analysis 9
- Urban Transport and Accessibility 3
-
- Geographic Information Systems Studies 7
- Co-authors
- Xinyue Ye (10 shared papers)Tao Hu (9 shared papers)Xinyan Zhu (14 shared papers)Xiao Huang (7 shared papers)Siqin Wang (7 shared papers)Zhenlong Li (6 shared papers)Mengxi Zhang (5 shared papers)Shuming Bao (9 shared papers)
- Journals
- International Journal of Digital Earth (2 papers)Geo-spatial Information Science (2 papers)International Journal of Applied Earth Observation and Geoinformation (2 papers)Transactions in GIS (2 papers)Communication Research (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Bing She
28 papers receiving 649 citations
Bing She's Hit Papers
Peers
Comparison fields: 5 of 106
- Transportation 161
- Modeling and Simulation 95
- Geography, Planning and Development 48
- Health 63
- Communication 53
Countries citing papers authored by Bing She
This map shows the geographic impact of Bing She's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing She more than expected).
Fields of papers citing papers by Bing She
This network shows the impact of papers produced by Bing She. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing She. The network helps show where Bing She may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing She, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges Hit paper breakdown → | 2021 | 149 |
| 2 | 2021 | 116 | |
| 3 | 2022 | 50 | |
| 4 | 2020 | 43 | |
| 5 | 2019 | 34 | |
| 6 | 2010 | 34 | |
| 7 | 2018 | 33 | |
| 8 | 2015 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2017 | 26 | |
| 11 | 2016 | 22 | |
| 12 | 2018 | 20 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2009 | 6 | |
| 20 | 2021 | 5 |
About Bing She
Bing She is a scholar working on Transportation, Geography, Planning and Development, Sociology and Political Science, Signal Processing and Epidemiology, having authored 29 papers that have together received 667 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Geographic Information Systems Studies (7 papers), Data Management and Algorithms (6 papers), Data-Driven Disease Surveillance (6 papers), Urban Transport and Accessibility (3 papers), Land Use and Ecosystem Services (3 papers), Spatial and Panel Data Analysis (3 papers) and Disaster Management and Resilience (2 papers). The work is most often cited by research in Transportation (161 citations), Modeling and Simulation (95 citations), Geography, Planning and Development (48 citations), Health (63 citations) and Communication (53 citations). Bing She has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xinyue Ye, Tao Hu, Xinyan Zhu, Xiao Huang, Siqin Wang, Zhenlong Li, Mengxi Zhang, Shuming Bao, Regina Liu and Chih‐Hui Lai. Their work appears in journals such as International Journal of Digital Earth, Geo-spatial Information Science, International Journal of Applied Earth Observation and Geoinformation, Transactions in GIS and Communication Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.