Yan‐Jun Liu
- Control and Systems Engineering top 0.1%
- Computer Networks and Communications top 0.5%
- Computational Theory and Mathematics top 0.1%
- Artificial Intelligence top 2%
- Mechanical Engineering top 5%
- Co-authors
- Shaocheng TongC. L. Philip ChenLei LiuDapeng LiTingting GaoDong‐Juan LiAiqing ChenQiang Zeng
- Topics
- Adaptive Control of Nonlinear Systems (81 papers)Adaptive Dynamic Programming Control (40 papers)Distributed Control Multi-Agent Systems (30 papers)
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Yan‐Jun Liu
127 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Control and Systems Engineering 5.2k
- Computer Networks and Communications 1.9k
- Computational Theory and Mathematics 1.9k
- Artificial Intelligence 733
- Mechanical Engineering 614
Countries citing papers authored by Yan‐Jun Liu
This map shows the geographic impact of Yan‐Jun 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 Yan‐Jun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Jun Liu more than expected).
Fields of papers citing papers by Yan‐Jun Liu
This network shows the impact of papers produced by Yan‐Jun 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 Yan‐Jun Liu. The network helps show where Yan‐Jun Liu may publish in the future.
Co-authorship network of co-authors of Yan‐Jun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Jun Liu. A scholar is included among the top collaborators of Yan‐Jun 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 Yan‐Jun Liu. Yan‐Jun 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 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 57 | |
| 14 | 45 | |
| 15 | 130 | |
| 16 | Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraintsbreakdown → | 234 |
| 17 | 20 | |
| 18 | 62 | |
| 19 | 91 | |
| 20 | 43 |
About Yan‐Jun Liu
Yan‐Jun Liu is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 139 papers that have together received 6.3k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (81 papers), Adaptive Dynamic Programming Control (40 papers) and Distributed Control Multi-Agent Systems (30 papers). The work is most often cited by research in Control and Systems Engineering (5.2k citations), Computational Theory and Mathematics (1.9k citations) and Computer Networks and Communications (1.9k citations). Yan‐Jun Liu has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Shaocheng Tong, C. L. Philip Chen, Lei Liu, Dapeng Li, Lei Liu, Tingting Gao, Dong‐Juan Li, Aiqing Chen, Qiang Zeng and Dengxiu Yu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Automatica and Construction and Building Materials.
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.