Baoxiang Wang
- Mathematical Physics top 1%
- Applied Mathematics top 1%
- Control and Systems Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Mechanical Engineering
- Co-authors
- Henryk HudzikBoling GuoZihua GuoChuancang DingChengchun HaoZhaohui HuoYuhe LiaoLizhong Peng
- Topics
- Advanced Mathematical Physics Problems (33 papers)Machine Fault Diagnosis Techniques (19 papers)Stability and Controllability of Differential Equations (16 papers)
In The Last Decade
Baoxiang Wang
70 papers receiving 950 citations
Peers
Comparison fields: 5 of 69
- Mathematical Physics 646
- Applied Mathematics 568
- Control and Systems Engineering 328
- Statistical and Nonlinear Physics 188
- Mechanical Engineering 110
Countries citing papers authored by Baoxiang Wang
This map shows the geographic impact of Baoxiang 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 Baoxiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxiang Wang more than expected).
Fields of papers citing papers by Baoxiang Wang
This network shows the impact of papers produced by Baoxiang 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 Baoxiang Wang. The network helps show where Baoxiang Wang may publish in the future.
Co-authorship network of co-authors of Baoxiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiang Wang. A scholar is included among the top collaborators of Baoxiang 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 Baoxiang Wang. Baoxiang 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 36 | |
| 7 | Private Q-Learning with Functional Noise in Continuous Spaces. | 0 |
| 8 | Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces | 18 |
| 9 | Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control. | 2 |
| 10 | Necessary and Sufficient Conditions for the Fractional Gagliardo-Nirenberg Inequalities and Applications to Navier-Stokes and Generalized Boson Equations (Harmonic Analysis and Nonlinear Partial Differential Equations) | 14 |
| 11 | Necessary and Sucient Conditions for the Fractional Gagliardo-Nirenberg Inequalities and Applications to Navier-Stokes and Generalized Boson Equations | 38 |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 55 | |
| 15 | 7 | |
| 16 | 69 | |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | The characteristic of weak convergence on Banach sequence lattices | 2 |
About Baoxiang Wang
Baoxiang Wang is a scholar working on Mathematical Physics, Applied Mathematics and Control and Systems Engineering, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (33 papers), Machine Fault Diagnosis Techniques (19 papers) and Stability and Controllability of Differential Equations (16 papers). The work is most often cited by research in Mathematical Physics (646 citations), Applied Mathematics (568 citations) and Statistical and Nonlinear Physics (188 citations). Baoxiang Wang has collaborated with scholars based in China, Poland and Hong Kong. Frequent co-authors include Henryk Hudzik, Boling Guo, Zihua Guo, Chuancang Ding, Chengchun Hao, Zhaohui Huo, Yuhe Liao, Lizhong Peng, Tohru Ozawa and Xining Zhang. Their work appears in journals such as Sensors, IEEE Internet of Things Journal and Communications on Pure and Applied Mathematics.
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.