Bing She

31 papers receiving 697 citations

Bing She's Hit Papers

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges 2021 · 155 citations
1550+1+3Years since publication50100150

Peers

Bing She
Comparison fields: 5 of 114
  • Transportation 175
  • Modeling and Simulation 95
  • Geography, Planning and Development 60
  • Health 63
  • Communication 53
Replace Wei Zhai with:
Wei Zhai United States
Zhewei Liu Hong Kong
Atsushi Nara United States
Xiaokang Fu China
Anshu Zhang Hong Kong
Lorenzo Gabrielli Italy
Su Yeon Han United States
Junghwan Kim United States
Rafael Prieto-Curiel United Kingdom
Bing She relative to Wei Zhai United States Wei Zhai's profile →
Citations per field
00.5×2×2.9×
Wei Zhai · 1×
Citations per year

Countries citing papers authored by Bing She

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bing She Line = papers co-authored together Bing She links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 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 →
2021155
2 2021119
3 202255
4 202044
5 201042
6 201940
7 201835
8 201530
9 201529
10 201726
11 201622
12 201820
13 201917
14 202211
15 201910
16 20239
17 20099
18 20198
19 20197
20 20216

About Bing She

Bing She is a scholar working on Transportation, Geography, Planning and Development, Signal Processing, Sociology and Political Science and Information Systems, having authored 33 papers that have together received 718 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (11 papers), Geographic Information Systems Studies (8 papers), Data Management and Algorithms (7 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 (175 citations), Modeling and Simulation (95 citations), Geography, Planning and Development (60 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 Tao Hu, Xinyue Ye, Xinyan Zhu, Siqin Wang, Xiao Huang, Zhenlong Li, Mengxi Zhang, Shuming Bao, Regina Liu and Chih‐Hui Lai. Their work appears in journals such as Transactions in GIS, International Journal of Applied Earth Observation and Geoinformation, International Journal of Digital Earth, Geo-spatial Information Science and International Journal of Environmental Research and Public Health.

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.

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