Bing‐Chang Wang
- Finance top 2%
- Computer Networks and Communications top 5%
- Economics and Econometrics top 5%
- Control and Systems Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Ji‐Feng ZhangHuanshui ZhangMinyi HuangJianhui HuangMinyue FuTongwen ChenXiangyu MengSeeram Ramakrishna
- Topics
- Stochastic processes and financial applications (30 papers)Mathematical and Theoretical Epidemiology and Ecology Models (17 papers)Distributed Control Multi-Agent Systems (15 papers)
In The Last Decade
Bing‐Chang Wang
58 papers receiving 799 citations
Peers
Comparison fields: 5 of 78
- Finance 313
- Computer Networks and Communications 212
- Economics and Econometrics 201
- Control and Systems Engineering 190
- Statistical and Nonlinear Physics 103
Countries citing papers authored by Bing‐Chang Wang
This map shows the geographic impact of Bing‐Chang Wang'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 Bing‐Chang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing‐Chang Wang more than expected).
Fields of papers citing papers by Bing‐Chang Wang
This network shows the impact of papers produced by Bing‐Chang Wang. 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 Bing‐Chang Wang. The network helps show where Bing‐Chang Wang may publish in the future.
Co-authorship network of co-authors of Bing‐Chang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Bing‐Chang Wang. A scholar is included among the top collaborators of Bing‐Chang Wang 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 Bing‐Chang Wang. Bing‐Chang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 0 | |
| 13 | 9 | |
| 14 | 60 | |
| 15 | 8 | |
| 16 | 40 | |
| 17 | Stackelberg games of large population multi-agent systems: Centralized and distributed strategies | 0 |
| 18 | Mean field games for large population stochastic multi-agent systems with Markov jumps | 1 |
| 19 | 21 | |
| 20 | A Class of Markov-Modulated Continuous Infectious Disease Model | 0 |
About Bing‐Chang Wang
Bing‐Chang Wang is a scholar working on Finance, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 73 papers that have together received 825 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (30 papers), Mathematical and Theoretical Epidemiology and Ecology Models (17 papers) and Distributed Control Multi-Agent Systems (15 papers). The work is most often cited by research in Finance (313 citations), Modeling and Simulation (103 citations) and Computer Networks and Communications (212 citations). Bing‐Chang Wang has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Ji‐Feng Zhang, Huanshui Zhang, Minyi Huang, Jianhui Huang, Minyue Fu, Tongwen Chen, Xiangyu Meng, Seeram Ramakrishna, Yibing Sun and Yining Ding. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Journal of Colloid and Interface Science.
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.