Ling Bian

3.0k total citations
60 papers, 2.1k citations indexed

About

Ling Bian is a scholar working on Modeling and Simulation, Epidemiology and Ecology. According to data from OpenAlex, Ling Bian has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 12 papers in Epidemiology and 8 papers in Ecology. Recurrent topics in Ling Bian's work include COVID-19 epidemiological studies (17 papers), Data-Driven Disease Surveillance (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Ling Bian is often cited by papers focused on COVID-19 epidemiological studies (17 papers), Data-Driven Disease Surveillance (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Ling Bian collaborates with scholars based in United States, China and Canada. Ling Bian's co-authors include Yuxia Huang, Stephen J. Walsh, Peter A. Rogerson, Hoehun Ha, James R. Olson, Liang Mao, Cynthia Chen, Jingtao Ma, Stephen J. Walsh and Daniel G. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Expert Systems with Applications.

In The Last Decade

Ling Bian

57 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Bian United States 22 405 316 276 261 232 60 2.1k
Robert Haining United Kingdom 35 908 2.2× 491 1.6× 262 0.9× 412 1.6× 119 0.5× 132 4.8k
Ali Asghar Alesheikh Iran 25 845 2.1× 337 1.1× 161 0.6× 299 1.1× 90 0.4× 204 3.1k
Suzana Dragićević Canada 31 1.7k 4.3× 406 1.3× 457 1.7× 552 2.1× 79 0.3× 121 3.3k
Antônio Miguel Vieira Monteiro Brazil 21 864 2.1× 248 0.8× 99 0.4× 267 1.0× 418 1.8× 125 2.2k
Arie Croitoru United States 24 414 1.0× 583 1.8× 423 1.5× 109 0.4× 39 0.2× 57 2.2k
Anthony Stefanidis United States 29 529 1.3× 738 2.3× 640 2.3× 134 0.5× 44 0.2× 97 2.9k
Yunqiang Zhu China 26 808 2.0× 104 0.3× 253 0.9× 421 1.6× 28 0.1× 105 2.8k
Ashton Shortridge United States 28 762 1.9× 274 0.9× 121 0.4× 552 2.1× 94 0.4× 67 2.4k
Wenwu Tang United States 27 989 2.4× 227 0.7× 118 0.4× 729 2.8× 151 0.7× 90 2.6k
Mark Gahegan United States 28 379 0.9× 286 0.9× 943 3.4× 235 0.9× 57 0.2× 93 3.0k

Countries citing papers authored by Ling Bian

Since Specialization
Citations

This map shows the geographic impact of Ling Bian'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 Ling Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Bian more than expected).

Fields of papers citing papers by Ling Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Bian. 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 Ling Bian. The network helps show where Ling Bian may publish in the future.

Co-authorship network of co-authors of Ling Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Bian. A scholar is included among the top collaborators of Ling Bian 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 Ling Bian. Ling Bian 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
2.
Ma, Fenglong, et al.. (2023). Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces. International Journal of Environmental Research and Public Health. 20(10). 5865–5865. 2 indexed citations
3.
Bian, Ling, et al.. (2022). How regularly do people visit service places?. Computers Environment and Urban Systems. 99. 101896–101896. 6 indexed citations
4.
Nikolaev, Alexander, et al.. (2021). Investigating transmission dynamics of influenza in a public indoor venue: An agent-based modeling approach. Computers & Industrial Engineering. 157. 107327–107327. 10 indexed citations
5.
Nikolaev, Alexander, et al.. (2021). Network effects in influenza spread: The impact of mobility and socio-economic factors. Socio-Economic Planning Sciences. 78. 101081–101081. 5 indexed citations
6.
Cui, Yu, Qing He, & Ling Bian. (2021). Generating a synthetic probabilistic daily activity-location schedule using large-scale, long-term and low-frequency smartphone GPS data with limited activity information. Transportation Research Part C Emerging Technologies. 132. 103408–103408. 6 indexed citations
7.
Bian, Ling, et al.. (2016). Scale effects on spatially embedded contact networks. Computers Environment and Urban Systems. 59. 142–151. 12 indexed citations
8.
Bian, Ling, et al.. (2016). A Location-Centric Network Approach to Analyzing Epidemic Dynamics. Annals of the American Association of Geographers. 106(2). 1–9. 18 indexed citations
9.
Huang, Yuxia & Ling Bian. (2015). Using Ontologies and Formal Concept Analysis to Integrate Heterogeneous Tourism Information. IEEE Transactions on Emerging Topics in Computing. 3(2). 172–184. 14 indexed citations
10.
Li, Li, Ling Bian, Laith Yakob, Guofa Zhou, & Guiyun Yan. (2011). Analysing the generality of spatially predictive mosquito habitat models. Acta Tropica. 119(1). 30–37. 7 indexed citations
11.
Mao, Liang & Ling Bian. (2010). Spatial–temporal transmission of influenza and its health risks in an urbanized area. Computers Environment and Urban Systems. 34(3). 204–215. 47 indexed citations
12.
Li, Li, Ling Bian, Laith Yakob, Guofa Zhou, & Guiyun Yan. (2009). Temporal and spatial stability of Anopheles gambiae larval habitat distribution in Western Kenya highlands. International Journal of Health Geographics. 8(1). 70–70. 8 indexed citations
13.
Li, Li, Ling Bian, & Guiyun Yan. (2008). A study of the distribution and abundance of the adult malaria vector in western Kenya highlands. International Journal of Health Geographics. 7(1). 50–50. 14 indexed citations
14.
Bian, Ling & Shixiong Hu. (2007). Identifying components for interoperable process models using concept lattice and semantic reference system. International Journal of Geographical Information Systems. 21(9). 1009–1032. 14 indexed citations
15.
Fang, Li‐Qun, Lei Yan, Song Liang, et al.. (2006). Spatial analysis of hemorrhagic fever with renal syndrome in China. BMC Infectious Diseases. 6(1). 77–77. 98 indexed citations
16.
Mushinzimana, Emmanuel, Stephen Munga, Noboru Minakawa, et al.. (2006). Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands. Malaria Journal. 5(1). 13–13. 121 indexed citations
17.
Bian, Ling. (2004). A Conceptual Framework for an Individual-Based Spatially Explicit Epidemiological Model. Environment and Planning B Planning and Design. 31(3). 381–395. 77 indexed citations
18.
Bian, Ling & Stephen J. Walsh. (2002). Characterizing and Modeling Landscape Dynamics: An Introduction. Photogrammetric Engineering & Remote Sensing. 68(10). 999–1000. 6 indexed citations
19.
Bian, Ling, et al.. (1997). GIS modeling of elk calving habitat in a prairie environment with statistics. Photogrammetric Engineering & Remote Sensing. 63(2). 161–167. 45 indexed citations
20.
Walsh, Stephen J., Daniel G. Brown, Ling Bian, & David R. Butler. (1990). Cartographic modeling of snow avalanche path location within Glacier National Park, Montana. USC Research Bank (University of the Sunshine Coast). 29 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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