Zhitai Liu
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Weiyang LinXinghu YuJuan J. Rodríguez-AndinaHuijun GaoHuihui PanJianbin QiuConcettina BuccellaCarlo Cecati
- Topics
- Iterative Learning Control Systems (11 papers)Adaptive Control of Nonlinear Systems (7 papers)Sensorless Control of Electric Motors (5 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsComputational Theory and Mathematics
In The Last Decade
Zhitai Liu
10 papers receiving 301 citations
Peers
Comparison fields: 5 of 33
- Control and Systems Engineering 245
- Computer Networks and Communications 77
- Mechanical Engineering 53
- Electrical and Electronic Engineering 50
- Computational Theory and Mathematics 41
Countries citing papers authored by Zhitai Liu
This map shows the geographic impact of Zhitai Liu'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 Zhitai Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhitai Liu more than expected).
Fields of papers citing papers by Zhitai Liu
This network shows the impact of papers produced by Zhitai Liu. 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 Zhitai Liu. The network helps show where Zhitai Liu may publish in the future.
Co-authorship network of co-authors of Zhitai Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhitai Liu. A scholar is included among the top collaborators of Zhitai Liu 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 Zhitai Liu. Zhitai Liu 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 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 63 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 136 | |
| 18 | 46 | |
| 19 | 0 | |
| 20 | 2 |
About Zhitai Liu
Zhitai Liu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Mechanics, having authored 20 papers that have together received 302 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (11 papers), Adaptive Control of Nonlinear Systems (7 papers) and Sensorless Control of Electric Motors (5 papers). The work is most often cited by research in Control and Systems Engineering (245 citations), Computer Networks and Communications (77 citations) and Computational Theory and Mathematics (41 citations). Zhitai Liu has collaborated with scholars based in China, Spain and Italy. Frequent co-authors include Weiyang Lin, Xinghu Yu, Juan J. Rodríguez-Andina, Huijun Gao, Huihui Pan, Jianbin Qiu, Concettina Buccella, Carlo Cecati, Ruiqi Xu and Gang Liu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE/ASME Transactions on Mechatronics.
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.