Yuliang Wang
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Mathematical Physics top 5%
- Co-authors
- Peijun LiHongyu LiuMarya LiebermanGary H. BernsteinYue ZhaoC. SudhaF. C. PeirisB. Varughese
- Topics
- Numerical methods in inverse problems (11 papers)Microwave Imaging and Scattering Analysis (10 papers)Electromagnetic Scattering and Analysis (5 papers)
- Journals
- Journal of Cleaner ProductionJournal of Agricultural and Food ChemistryJournal of Computational Physics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuliang Wang
48 papers receiving 564 citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 177
- Biomedical Engineering 157
- Electrical and Electronic Engineering 147
- Atomic and Molecular Physics, and Optics 133
- Mathematical Physics 127
Countries citing papers authored by Yuliang Wang
This map shows the geographic impact of Yuliang 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 Yuliang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuliang Wang more than expected).
Fields of papers citing papers by Yuliang Wang
This network shows the impact of papers produced by Yuliang 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 Yuliang Wang. The network helps show where Yuliang Wang may publish in the future.
Co-authorship network of co-authors of Yuliang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuliang Wang. A scholar is included among the top collaborators of Yuliang 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 Yuliang Wang. Yuliang 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | 25 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | Firefly Algorithm Optimized Neural Network Data Fusion in Wireless Sensor Network | 2 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 28 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 11 | |
| 20 | Research of Magnetic Coupling Series | 1 |
About Yuliang Wang
Yuliang Wang is a scholar working on Mathematical Physics, Acoustics and Ultrasonics and Computational Theory and Mathematics, having authored 50 papers that have together received 605 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (11 papers), Microwave Imaging and Scattering Analysis (10 papers) and Electromagnetic Scattering and Analysis (5 papers). The work is most often cited by research in Mathematical Physics (127 citations), Computational Theory and Mathematics (177 citations) and Acoustics and Ultrasonics (9 citations). Yuliang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peijun Li, Hongyu Liu, Marya Lieberman, Gary H. Bernstein, Yue Zhao, C. Sudha, F. C. Peiris, B. Varughese, Craig S. Lent and Ge‐Fei Hao. Their work appears in journals such as Journal of Cleaner Production, Journal of Agricultural and Food Chemistry and Journal of Computational Physics.
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.