Song Gao

10.5k citations
189 papers · 7.1k indexed · 8 hit papers · h-index 43
Topics
Human Mobility and Location-Based Analysis (72 papers)Geographic Information Systems Studies (39 papers)Data-Driven Disease Surveillance (33 papers)

In The Last Decade

Song Gao

170 papers receiving 6.9k citations

Hit Papers

Social Sensing: A New Approach to Understanding Our Socio...201520262018202220152017201920152022200400600

Peers

Song Gao
Comparison fields: 5 of 170
  • Transportation 3.9k
  • Global and Planetary Change 1.9k
  • Building and Construction 1.1k
  • Geography, Planning and Development 954
  • Epidemiology 681
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Song Gao relative to Harvey J. Miller United States Harvey J. Miller's profile →
Citations per field
00.5×2.6×
Harvey J. Miller · 1×
Citations per year

Countries citing papers authored by Song Gao

Since Specialization
Citations

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

Fields of papers citing papers by Song Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Song Gao. A scholar is included among the top collaborators of Song Gao 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 Song Gao. Song Gao 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
#WorkIndexed citations
1 0
2 2
3 8
4 25
5 4
6 13
7 0
8 9
9
Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethicsbreakdown →
33
10
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)breakdown →
45
11 4
12 57
13 5
14 12
15 15
16 14
17 101
18 101
19 69
20
Information impacts on travelers’ route choice behavior in a congested risky network
3

About Song Gao

Song Gao is a scholar working on Transportation, Geography, Planning and Development and Modeling and Simulation, having authored 189 papers that have together received 7.1k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (72 papers), Geographic Information Systems Studies (39 papers) and Data-Driven Disease Surveillance (33 papers). The work is most often cited by research in Transportation (3.9k citations), Geography, Planning and Development (954 citations) and Modeling and Simulation (528 citations). Song Gao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Krzysztof Janowicz, Yuhao Kang, Yu Liu, Yingjie Hu, Yu Xiao, Jinmeng Rao, Chaogui Kang, Helen Couclelis, Yunlei Liang and Fan Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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