Xiaofeng Yang
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Yunlang XuYang LiuZhile YangFazhi SongJian‐Xin XuZhi LiFeng ShuJiubin Tan
- Topics
- Iterative Learning Control Systems (23 papers)Piezoelectric Actuators and Control (21 papers)Advanced Measurement and Metrology Techniques (10 papers)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Xiaofeng Yang
66 papers receiving 666 citations
Peers
Comparison fields: 5 of 77
- Control and Systems Engineering 379
- Electrical and Electronic Engineering 218
- Mechanical Engineering 171
- Biomedical Engineering 98
- Artificial Intelligence 85
Countries citing papers authored by Xiaofeng Yang
This map shows the geographic impact of Xiaofeng Yang'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 Xiaofeng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Yang more than expected).
Fields of papers citing papers by Xiaofeng Yang
This network shows the impact of papers produced by Xiaofeng Yang. 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 Xiaofeng Yang. The network helps show where Xiaofeng Yang may publish in the future.
Co-authorship network of co-authors of Xiaofeng Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Yang. A scholar is included among the top collaborators of Xiaofeng Yang 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 Xiaofeng Yang. Xiaofeng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 40 | |
| 16 | 38 | |
| 17 | Hysteresis compensation control for reluctance actuator force using neural network | 1 |
| 18 | Analysis of 3-D Effects in Low Strain Testing of Pipe Pile | 1 |
| 19 | Intelligent control strategy of high-capacity hybrid active power filter | 2 |
| 20 | 1 |
About Xiaofeng Yang
Xiaofeng Yang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 73 papers that have together received 684 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (23 papers), Piezoelectric Actuators and Control (21 papers) and Advanced Measurement and Metrology Techniques (10 papers). The work is most often cited by research in Control and Systems Engineering (379 citations), Mechanical Engineering (171 citations) and Electrical and Electronic Engineering (218 citations). Xiaofeng Yang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Yunlang Xu, Yang Liu, Zhile Yang, Fazhi Song, Jian‐Xin Xu, Zhi Li, Feng Shu, Jiubin Tan, Ping He and Weike Liu. Their work appears in journals such as Biomaterials, Scientific Reports and IEEE Transactions on Industrial Electronics.
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.