Sun Duo
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
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- Complex Network Analysis Techniques
Papers in
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- Recommender Systems and Techniques 4
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- Traffic control and management 3
- Co-authors
- Bing-Hong Wang (5 shared papers)Chun-Xiao Jia (3 shared papers)Run-Ran Liu (3 shared papers)Zhong-Jun Ding (2 shared papers)Tao Zhou (2 shared papers)Bokui Chen (1 shared paper)Jun Zhou (1 shared paper)Weng‐Fai Wong (1 shared paper)
- Journals
- Computer Physics Communications (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Information Sciences (1 paper)Journal of Anhui University (1 paper)Physics Procedia (2 papers)
- Partner nations
- ChinaSwitzerlandSingapore
In The Last Decade
Sun Duo
10 papers receiving 313 citations
Peers
Comparison fields: 5 of 48
- Transportation 88
- Statistical and Nonlinear Physics 70
- Information Systems 114
- Control and Systems Engineering 102
- Automotive Engineering 51
Countries citing papers authored by Sun Duo
This map shows the geographic impact of Sun Duo'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 Sun Duo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Duo more than expected).
Fields of papers citing papers by Sun Duo
This network shows the impact of papers produced by Sun Duo. 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 Sun Duo. The network helps show where Sun Duo may publish in the future.
Co-authors
The 11 scholars most cited alongside Sun Duo, 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 | 2020 | 98 | |
| 2 | 2009 | 63 | |
| 3 | 2008 | 59 | |
| 4 | 2012 | 28 | |
| 5 | 2009 | 19 | |
| 6 | 2011 | 19 | |
| 7 | 2008 | 16 | |
| 8 | 2012 | 12 | |
| 9 | 2010 | 3 | |
| 10 | An clustering and optimized collaborative filtering recommendation based on interest measure | 2007 | 1 |
About Sun Duo
Sun Duo is a scholar working on Information Systems, Control and Systems Engineering, Artificial Intelligence, Transportation and Statistical and Nonlinear Physics, having authored 10 papers that have together received 318 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Traffic control and management (3 papers), Complex Network Analysis Techniques (2 papers), Evacuation and Crowd Dynamics (2 papers), Emotion and Mood Recognition (2 papers), Transportation Planning and Optimization (2 papers), Cognitive Science and Education Research (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Transportation (88 citations), Statistical and Nonlinear Physics (70 citations), Information Systems (114 citations), Control and Systems Engineering (102 citations) and Automotive Engineering (51 citations). Sun Duo has collaborated with scholars based in China, Switzerland and Singapore. Frequent co-authors include Bing-Hong Wang, Chun-Xiao Jia, Run-Ran Liu, Zhong-Jun Ding, Tao Zhou, Bokui Chen, Jun Zhou, Weng‐Fai Wong, Jian-Guo Liu and Rui Jiang. Their work appears in journals such as Computer Physics Communications, Physica A Statistical Mechanics and its Applications, Information Sciences, Journal of Anhui University and Physics Procedia.
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.