Bing She

1.1k total citations · 1 hit paper
29 papers, 648 citations indexed

About

Bing She is a scholar working on Transportation, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Bing She has authored 29 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transportation, 7 papers in Sociology and Political Science and 7 papers in Epidemiology. Recurrent topics in Bing She's work include Human Mobility and Location-Based Analysis (9 papers), Geographic Information Systems Studies (7 papers) and Data Management and Algorithms (6 papers). Bing She is often cited by papers focused on Human Mobility and Location-Based Analysis (9 papers), Geographic Information Systems Studies (7 papers) and Data Management and Algorithms (6 papers). Bing She collaborates with scholars based in United States, China and Australia. Bing She's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Bing She

28 papers receiving 627 citations

Hit Papers

Human mobility data in the COVID-19 pandemic: characteris... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bing She United States 13 178 161 104 100 89 29 648
Md. Mokhlesur Rahman United States 13 102 0.6× 170 1.1× 99 1.0× 112 1.1× 57 0.6× 30 622
Leo Ferres Chile 12 108 0.6× 188 1.2× 90 0.9× 81 0.8× 47 0.5× 38 601
Samarth Swarup United States 16 239 1.3× 47 0.3× 194 1.9× 170 1.7× 129 1.4× 89 976
Wei Zhai United States 15 205 1.2× 300 1.9× 47 0.5× 85 0.8× 50 0.6× 44 764
Zhewei Liu Hong Kong 16 161 0.9× 226 1.4× 56 0.5× 67 0.7× 36 0.4× 42 649
Junghwan Kim United States 17 154 0.9× 371 2.3× 68 0.7× 107 1.1× 61 0.7× 61 910
Vanessa Frías-Martínez United States 20 222 1.2× 743 4.6× 90 0.9× 103 1.0× 204 2.3× 60 1.2k
Xiaokang Fu China 13 70 0.4× 152 0.9× 65 0.6× 110 1.1× 88 1.0× 38 701

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-authorship network of co-authors of Bing She

This figure shows the co-authorship network connecting the top 25 collaborators of Bing She. A scholar is included among the top collaborators of Bing She based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing She. Bing She is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Siqin, Xiao Huang, Bing She, & Zhenlong Li. (2023). Diverged landscape of restaurant recovery from the COVID-19 pandemic in the United States. iScience. 26(6). 106811–106811. 8 indexed citations
2.
Huang, Xiao, Siqin Wang, Mengxi Zhang, et al.. (2022). Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation. 113. 102967–102967. 46 indexed citations
3.
Wang, Siqin, Xiao Huang, Tao Hu, et al.. (2022). A global portrait of expressed mental health signals towards COVID-19 in social media space. International Journal of Applied Earth Observation and Geoinformation. 116. 103160–103160. 7 indexed citations
4.
Wang, Siqin, Xiao Huang, Bing She, & Zhenlong Li. (2022). Diverged Landscape of Restaurant Recovery: The Effect of COVID-19 on the Restaurant Industry in the United States. SSRN Electronic Journal. 1 indexed citations
5.
Hu, Tao, Siqin Wang, Wei Luo, et al.. (2021). Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective. Journal of Medical Internet Research. 23(9). e30854–e30854. 115 indexed citations
6.
Hu, Tao, Siqin Wang, Bing She, et al.. (2021). Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges. International Journal of Digital Earth. 14(9). 1126–1147. 142 indexed citations breakdown →
7.
Hu, Tao, Siqin Wang, Bing She, et al.. (2021). Human Mobility Data in the COVID-19 Pandemic: Characteristics, Applications, and Challenges. SSRN Electronic Journal. 5 indexed citations
8.
Zhu, Xinyan, Tao Hu, Xinyue Ye, et al.. (2019). Development and implementation of a dynamic and 4D GIS based on semantic location model. Geo-spatial Information Science. 22(3). 193–213. 10 indexed citations
9.
She, Bing, Tao Hu, Xinyan Zhu, & Shuming Bao. (2019). Bridging open source tools and Geoportals for interactive spatial data analytics. Geo-spatial Information Science. 22(3). 185–192. 7 indexed citations
10.
Zhu, Xinyan, et al.. (2019). Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China. Sustainability. 11(21). 6152–6152. 16 indexed citations
11.
Fan, Yaxin, Xinyan Zhu, Bing She, Wei Guo, & Tao Guo. (2018). Network-constrained spatio-temporal clustering analysis of traffic collisions in Jianghan District of Wuhan, China. PLoS ONE. 13(4). e0195093–e0195093. 32 indexed citations
12.
Ye, Xinyue, V. Kelly Turner, & Bing She. (2018). Automating land parcel classification for neighborhood-scale urban analysis. International Journal of Digital Earth. 12(12). 1396–1405. 2 indexed citations
13.
She, Bing, Juan C. Duque, & Xinyue Ye. (2016). The Network-Max-P-Regions model. International Journal of Geographical Information Systems. 31(5). 962–981. 22 indexed citations
14.
She, Bing, Xinyan Zhu, Xinyue Ye, et al.. (2015). Weighted network Voronoi Diagrams for local spatial analysis. Computers Environment and Urban Systems. 52. 70–80. 29 indexed citations
15.
Guo, Wei, Bing She, & Xinyan Zhu. (2014). Remote Sensing Image On‐Demand Computing Schema for theChinaZY‐3 Satellite Private Cloud‐Computing Platform. Transactions in GIS. 18(S1). 53–75. 2 indexed citations
16.
Ye, Xinyue, Bing She, Ling Wu, Xinyan Zhu, & Yeqing Cheng. (2014). An open source toolkit for identifying comparative space-time research questions. Chinese Geographical Science. 24(3). 348–361. 1 indexed citations
17.
She, Bing. (2013). A Fuzzy Description Method for Directional Relationship Based on Adaptive Sampling Granularity Model. Acta Geodaetica et Cartographica Sinica.
18.
She, Bing, Xinyan Zhu, & Weidong Xiao. (2012). BUILDING AN INTEGRATED WEB-BASED ENVIRONMENT FOR EXPLORATORY SPATIOTEMPORAL DATA ANALYSIS. SHILAP Revista de lepidopterología. I-4. 169–174. 1 indexed citations
19.
She, Bing, Xinyan Zhu, & Shuming Bao. (2010). Spatial data integration and analysis with spatial intelligence. 33. 1–6. 3 indexed citations
20.
Guo, Wei, et al.. (2010). OpenRS-Cloud: A remote sensing image processing platform based on cloud computing environment. Science in China. Series E, Technological sciences. 53(S1). 221–230. 34 indexed citations

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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