Ling Bian

57 papers receiving 2.0k citations

Peers

Ling Bian
Comparison fields: 5 of 149
  • Geography, Planning and Development 275
  • Transportation 314
  • Modeling and Simulation 206
  • Media Technology 190
  • Signal Processing 215
Replace Yunqiang Zhu with:
Yunqiang Zhu China
Robert Haining United Kingdom
Suzana Dragićević Canada
Ali Asghar Alesheikh Iran
Antônio Miguel Vieira Monteiro Brazil
Yunyan Du China
Budhendra Bhaduri United States
Stefan Leyk United States
Tao Pei China
Arie Croitoru United States
Ling Bian relative to Yunqiang Zhu China Yunqiang Zhu's profile →
Citations per field
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Yunqiang Zhu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ling Bian, 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 Ling Bian Line = papers co-authored together Ling Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012218
2 2011194
3 2014189
4 2007154
5 2014125
6 2012124
7 2006120
8 1993114
9 200698
10 200478
11 200751
12 201047
13
GIS modeling of elk calving habitat in a prairie environment with statistics
199745
14 200245
15 201036
16 200732
17 201232
18 199931
19 199330
20
Cartographic modeling of snow avalanche path location within Glacier National Park, Montana
199029

About Ling Bian

Ling Bian is a scholar working on Modeling and Simulation, Epidemiology, Artificial Intelligence, Transportation and Geography, Planning and Development, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Data-Driven Disease Surveillance (9 papers), Human Mobility and Location-Based Analysis (8 papers), Geographic Information Systems Studies (8 papers), Data Management and Algorithms (7 papers), Influenza Virus Research Studies (6 papers), Complex Network Analysis Techniques (6 papers) and Land Use and Ecosystem Services (5 papers). The work is most often cited by research in Geography, Planning and Development (275 citations), Transportation (314 citations), Modeling and Simulation (206 citations), Media Technology (190 citations) and Signal Processing (215 citations). Ling Bian has collaborated with scholars based in United States, China and Canada. Frequent 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. Their work appears in journals such as Transactions in GIS, The Professional Geographer, Photogrammetric Engineering & Remote Sensing, Annals of the American Association of Geographers and Computers Environment and Urban Systems.

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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