Zhao Song
- Sociology and Political Science top 5%
- Safety Research top 5%
- Genetics
- Public Health, Environmental and Occupational Health
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Zhen WangHao GuoDanyang JiaMatjaž PercXuelong LiXinyang DengXinyu WangЛей Ши
- Topics
- Evolutionary Game Theory and Cooperation (16 papers)Evolution and Genetic Dynamics (9 papers)Experimental Behavioral Economics Studies (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhao Song
32 papers receiving 378 citations
Peers
Comparison fields: 5 of 57
- Sociology and Political Science 258
- Safety Research 118
- Genetics 109
- Public Health, Environmental and Occupational Health 79
- Statistical and Nonlinear Physics 70
Countries citing papers authored by Zhao Song
This map shows the geographic impact of Zhao Song'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 Zhao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Song more than expected).
Fields of papers citing papers by Zhao Song
This network shows the impact of papers produced by Zhao Song. 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 Zhao Song. The network helps show where Zhao Song may publish in the future.
Co-authorship network of co-authors of Zhao Song
This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Song. A scholar is included among the top collaborators of Zhao Song 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 Zhao Song. Zhao Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 16 | |
| 8 | 0 | |
| 9 | 28 | |
| 10 | 64 | |
| 11 | WaveFlow: A Compact Flow-based Model for Raw Audio | 7 |
| 12 | Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. | 1 |
| 13 | Scalable Model Selection for Belief Networks | 1 |
| 14 | Solving DEC-POMDPs by Expectation Maximization of Value Function | 4 |
| 15 | Linear feature encoding for reinforcement learning | 4 |
| 16 | Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization | 3 |
| 17 | 1 | |
| 18 | 5 | |
| 19 | Development characteristics of mud shale and shale gas formation conditions in the middle Yangtze region | 1 |
| 20 | The Accuracy Effect Assessment on the PolSAR Images Classification Brought by the Boxcar and Refined Lee Filter | 1 |
About Zhao Song
Zhao Song is a scholar working on Safety Research, Sociology and Political Science and Statistics and Probability, having authored 37 papers that have together received 385 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (16 papers), Evolution and Genetic Dynamics (9 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in Safety Research (118 citations), Sociology and Political Science (258 citations) and Statistical and Nonlinear Physics (70 citations). Zhao Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhen Wang, Hao Guo, Danyang Jia, Matjaž Perc, Xuelong Li, Xinyang Deng, Xinyu Wang, Лей Ши, Ivan Romić and Marko Jusup. Their work appears in journals such as IEEE Transactions on Signal Processing, Information Sciences and Journal of Theoretical Biology.
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.