Ling Bian

57 papers receiving 2.0k citations

Peers

Ling Bian
Comparison fields: 5 of 153
  • Geography, Planning and Development 276
  • Modeling and Simulation 229
  • Transportation 316
  • Media Technology 189
  • Ecological Modeling 90
Replace Yunqiang Zhu with:
Yunqiang Zhu China
Robert Haining United Kingdom
Suzana Dragićević Canada
Ali Asghar Alesheikh Iran
Antônio Miguel Vieira Monteiro Brazil
Budhendra Bhaduri United States
Yunyan Du China
Stefan Leyk United States
Geoffrey M. Jacquez United States
Ashton Shortridge 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012218
2 2011195
3 2014188
4 2007153
5 2012123
6 2014123
7 2006121
8 1993114
9 200698
10 200477
11 200751
12 201047
13
GIS modeling of elk calving habitat in a prairie environment with statistics
199745
14 200245
15 201037
16 201232
17 200732
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, Geography, Planning and Development, Transportation, Ecological Modeling and Media Technology, having authored 60 papers that have together received 2.1k 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 (7 papers), Data Management and Algorithms (6 papers), Complex Network Analysis Techniques (6 papers), Influenza Virus Research Studies (6 papers) and Land Use and Ecosystem Services (5 papers). The work is most often cited by research in Geography, Planning and Development (276 citations), Modeling and Simulation (229 citations), Transportation (316 citations), Media Technology (189 citations) and Ecological Modeling (90 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, James R. Olson, Hoehun Ha, Liang Mao, Jingtao Ma, Cynthia Chen, Stephen J. Walsh and Daniel G. Brown. Their work appears in journals such as Transactions in GIS, Photogrammetric Engineering & Remote Sensing, Computers Environment and Urban Systems, Annals of the American Association of Geographers and The Professional Geographer.

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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