Ruobing Wang
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Mechanical Engineering
- Co-authors
- Shufei LiPai ZhengLihui WangYangmin LiYanlin XieMd Jahidul IslamJunaed SattarZhonghua Gou
- Topics
- Robotic Mechanisms and Dynamics (7 papers)Iterative Learning Control Systems (5 papers)Piezoelectric Actuators and Control (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ruobing Wang
20 papers receiving 286 citations
Peers
Comparison fields: 5 of 71
- Control and Systems Engineering 125
- Industrial and Manufacturing Engineering 78
- Computer Vision and Pattern Recognition 67
- Biomedical Engineering 59
- Mechanical Engineering 30
Countries citing papers authored by Ruobing Wang
This map shows the geographic impact of Ruobing 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 Ruobing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruobing Wang more than expected).
Fields of papers citing papers by Ruobing Wang
This network shows the impact of papers produced by Ruobing 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 Ruobing Wang. The network helps show where Ruobing Wang may publish in the future.
Co-authorship network of co-authors of Ruobing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruobing Wang. A scholar is included among the top collaborators of Ruobing 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 Ruobing Wang. Ruobing 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 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 19 | |
| 13 | 31 | |
| 14 | 10 | |
| 15 | 8 | |
| 16 | 128 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 14 | |
| 20 | 5 |
About Ruobing Wang
Ruobing Wang is a scholar working on Control and Systems Engineering, Speech and Hearing and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 288 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (7 papers), Iterative Learning Control Systems (5 papers) and Piezoelectric Actuators and Control (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (78 citations), Control and Systems Engineering (125 citations) and Computer Vision and Pattern Recognition (67 citations). Ruobing Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shufei Li, Pai Zheng, Lihui Wang, Yangmin Li, Yanlin Xie, Md Jahidul Islam, Junaed Sattar, Zhonghua Gou, Xiaohuan Xie and Hongtao Wu. Their work appears in journals such as Nature Materials, Frontiers in Psychology and Building and Environment.
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.