Bing She

1.1k citations
29 papers · 648 · 1 hit paper · h-index 13

Impact in

Papers in

Bing She

28 papers receiving 627 citations

Bing She's Hit Papers

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges 2021 · 142 citations
1420+1+3Years since publication4080120

Peers

Bing She
Comparison fields: 5 of 108
  • Transportation 161
  • Modeling and Simulation 100
  • Geography, Planning and Development 48
  • Health 74
  • Communication 56
Replace Wei Zhai with:
Wei Zhai United States
Zhewei Liu Hong Kong
Vanessa Frías-Martínez United States
Hamdi Kavak United States
Shoko Wakamiya Japan
Xiaokang Fu China
Anshu Zhang Hong Kong
Su Yeon Han United States
Bing She relative to Wei Zhai United States Wei Zhai's profile →
Citations per field
00.5×3.1×
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 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 →
2021142
2 2021115
3 202246
4 202042
5 201034
6 201832
7 201932
8 201529
9 201528
10 201726
11 201622
12 201819
13 201916
14 201910
15 20238
16 20227
17 20197
18 20197
19 20096
20 20215

About Bing She

Bing She is a scholar working on Transportation, Sociology and Political Science, Epidemiology, Geography, Planning and Development and Signal Processing, having authored 29 papers that have together received 648 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), Land Use and Ecosystem Services (3 papers), Misinformation and Its Impacts (3 papers), Urban Transport and Accessibility (3 papers) and Spatial and Panel Data Analysis (3 papers). The work is most often cited by research in Transportation (161 citations), Modeling and Simulation (100 citations), Geography, Planning and Development (48 citations), Health (74 citations) and Communication (56 citations). Bing She has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xinyue Ye, Tao Hu, 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 International Journal of Digital Earth, Geo-spatial Information Science, International Journal of Applied Earth Observation and Geoinformation, Transactions in GIS and iScience.

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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