Xiaoming Song
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Finance top 10%
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- Guodong LiXiangliang XuYaozhong HuDavid NualartJian SongBiao LuXia ChenGuoliang Li
- Topics
- Stochastic processes and financial applications (8 papers)Chaos-based Image/Signal Encryption (7 papers)Financial Risk and Volatility Modeling (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoming Song
25 papers receiving 279 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 86
- Statistical and Nonlinear Physics 84
- Finance 60
- Control and Systems Engineering 56
- Computer Networks and Communications 39
Countries citing papers authored by Xiaoming Song
This map shows the geographic impact of Xiaoming 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 Xiaoming Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Song more than expected).
Fields of papers citing papers by Xiaoming Song
This network shows the impact of papers produced by Xiaoming 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 Xiaoming Song. The network helps show where Xiaoming Song may publish in the future.
Co-authorship network of co-authors of Xiaoming Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Song. A scholar is included among the top collaborators of Xiaoming 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 Xiaoming Song. Xiaoming 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 | 6 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 58 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | Current situation and development trend of weather radar | 1 |
| 18 | CFD Research on Flow and Heat Transfer Characteristics of Coolant in Pebble Bed Reactor Core | 1 |
| 19 | International Research Progress of CFD Application in Analysis of Nuclear Power System | 5 |
| 20 | 11 |
About Xiaoming Song
Xiaoming Song is a scholar working on Finance, Mathematical Physics and Statistical and Nonlinear Physics, having authored 30 papers that have together received 288 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Financial Risk and Volatility Modeling (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (84 citations), Finance (60 citations) and Modeling and Simulation (22 citations). Xiaoming Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guodong Li, Xiangliang Xu, Yaozhong Hu, David Nualart, Jian Song, Biao Lu, Xia Chen, Guoliang Li, Mingjie Zhou and Jianhua Feng. Their work appears in journals such as IEEE Access, Industrial Crops and Products and Chaos Solitons & Fractals.
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.