Song Gao
- Transportation top 0.02%
- Human Mobility and Location-Based Analysis 72
- Urban Transport and Accessibility 33
- Transportation Planning and Optimization 27
- Geography, Planning and Development top 0.05%
- Geographic Information Systems Studies 39
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 15
- Global and Planetary Change top 1%
- Impact of Light on Environment and Health 14
- Building and Construction top 0.5%
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- Data-Driven Disease Surveillance 33
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- Data Management and Algorithms 27
- Co-authors
- Krzysztof JanowiczYuhao KangYu LiuYingjie HuYu XiaoJinmeng RaoChaogui KangHelen Couclelis
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Song Gao
170 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Transportation 3.9k
- Geography, Planning and Development 954
- Modeling and Simulation 528
- Global and Planetary Change 1.9k
- Building and Construction 1.1k
Countries citing papers authored by Song Gao
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
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
The 25 scholars most cited alongside Song Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 25 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 9 | |
| 9 | Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethicsbreakdown → | 2024 | 33 |
| 10 | On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)breakdown → | 2024 | 45 |
| 11 | 2024 | 4 | |
| 12 | 2023 | 57 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 101 | |
| 18 | 2021 | 101 | |
| 19 | 2019 | 69 | |
| 20 | Information impacts on travelers’ route choice behavior in a congested risky network | 2012 | 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), Data-Driven Disease Surveillance (33 papers), Urban Transport and Accessibility (33 papers), Transportation Planning and Optimization (27 papers), Data Management and Algorithms (27 papers), COVID-19 epidemiological studies (15 papers) and Impact of Light on Environment and Health (14 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.