Shuning Wang
Impact in
- Control and Systems Engineering top 10%
- Control Systems and Identification
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
-
- Neural Networks and Applications
- Machine Learning and ELM
Papers in ⓘ
-
- Neural Networks and Applications 9
- Machine Learning and ELM 2
- Co-authors
- Xiaolin Huang (8 shared papers)Jun Xu (6 shared papers)Johan A. K. Suykens (5 shared papers)Ju Ren (4 shared papers)Yaoxue Zhang (3 shared papers)Weina Li (5 shared papers)Cun Zhang (5 shared papers)Li Li (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Journal of Nanobiotechnology (2 papers)IEEE Transactions on Mobile Computing (1 paper)Molecular Pharmaceutics (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Shuning Wang
35 papers receiving 313 citations
Peers
Comparison fields: 5 of 113
- Control and Systems Engineering 77
- Artificial Intelligence 83
- Signal Processing 24
- Acoustics and Ultrasonics 2
- Numerical Analysis 12
Countries citing papers authored by Shuning Wang
This map shows the geographic impact of Shuning 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 Shuning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuning Wang more than expected).
Fields of papers citing papers by Shuning Wang
This network shows the impact of papers produced by Shuning 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 Shuning Wang. The network helps show where Shuning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuning Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 24 | |
| 2 | 2022 | 23 | |
| 3 | 1994 | 21 | |
| 4 | 2017 | 19 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2012 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2011 | 13 | |
| 13 | 2005 | 11 | |
| 14 | 2018 | 9 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2025 | 6 |
About Shuning Wang
Shuning Wang is a scholar working on Numerical Analysis, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Music, having authored 40 papers that have together received 318 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Control Systems and Identification (4 papers), Model Reduction and Neural Networks (3 papers), Face and Expression Recognition (2 papers), Advanced Measurement and Detection Methods (2 papers), Machine Learning and ELM (2 papers), Traffic control and management (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Control and Systems Engineering (77 citations), Artificial Intelligence (83 citations), Signal Processing (24 citations), Acoustics and Ultrasonics (2 citations) and Numerical Analysis (12 citations). Shuning Wang has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Xiaolin Huang, Jun Xu, Johan A. K. Suykens, Ju Ren, Yaoxue Zhang, Weina Li, Cun Zhang, Li Li, Joachim Hornegger and Wangqian Zhang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of Nanobiotechnology, IEEE Transactions on Mobile Computing, Molecular Pharmaceutics and Cell Death and Disease.
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.