Qing-Song Wu
- Transportation top 0.05%
- Transportation Planning and Optimization 60
- Control and Systems Engineering top 0.1%
- Traffic control and management 65
- Building and Construction top 0.2%
- Traffic Prediction and Management Techniques 18
- Automotive Engineering top 1%
- Ocean Engineering top 0.5%
- Evacuation and Crowd Dynamics 31
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- Theoretical and Computational Physics 27
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- Stochastic processes and statistical mechanics 24
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- Markov Chains and Monte Carlo Methods 14
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- Complex Network Analysis Techniques 12
- Journals
- PLoS ONE (1 paper)Advanced Energy Materials (2 papers)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- ChinaNew ZealandAustralia
In The Last Decade
Qing-Song Wu
125 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Transportation 2.9k
- Control and Systems Engineering 3.7k
- Building and Construction 1.8k
- Automotive Engineering 807
- Ocean Engineering 1.0k
Countries citing papers authored by Qing-Song Wu
This map shows the geographic impact of Qing-Song Wu'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 Qing-Song Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing-Song Wu more than expected).
Fields of papers citing papers by Qing-Song Wu
This network shows the impact of papers produced by Qing-Song Wu. 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 Qing-Song Wu. The network helps show where Qing-Song Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing-Song Wu, 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 | 2020 | 35 | |
| 3 | 2018 | 99 | |
| 4 | 2015 | 4 | |
| 5 | 2013 | 38 | |
| 6 | 2011 | 48 | |
| 7 | 2010 | 19 | |
| 8 | 2010 | 154 | |
| 9 | 2010 | 68 | |
| 10 | 2009 | 51 | |
| 11 | 2008 | 11 | |
| 12 | 2008 | 40 | |
| 13 | 2007 | 120 | |
| 14 | 2005 | 1 | |
| 15 | 2005 | 23 | |
| 16 | 2003 | 9 | |
| 17 | 2002 | 142 | |
| 18 | 2002 | 79 | |
| 19 | A new continuum model for traffic flow and numerical testsbreakdown → | 2002 | 484 |
| 20 | Full velocity difference model for a car-following theorybreakdown → | 2001 | 1252 |
About Qing-Song Wu
Qing-Song Wu is a scholar working on Transportation, Control and Systems Engineering and Mathematical Physics, having authored 129 papers that have together received 5.4k indexed citations. Recurring topics across this work include Traffic control and management (65 papers), Transportation Planning and Optimization (60 papers), Evacuation and Crowd Dynamics (31 papers), Theoretical and Computational Physics (27 papers), Stochastic processes and statistical mechanics (24 papers), Traffic Prediction and Management Techniques (18 papers), Markov Chains and Monte Carlo Methods (14 papers) and Complex Network Analysis Techniques (12 papers). The work is most often cited by research in Transportation (2.9k citations), Control and Systems Engineering (3.7k citations) and Building and Construction (1.8k citations). Qing-Song Wu has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Rui Jiang, Zuojin Zhu, Rui Jiang, Mao-Bin Hu, Bin Jia, Rui Jiang, Yonghong Wu, Ruili Wang, Ziyou Gao and Xiang Ling. Their work appears in journals such as PLoS ONE, Advanced Energy Materials and The Journal of Physical Chemistry C.
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.