Yong‐Hong Lan
- Control and Systems Engineering top 1%
- Modeling and Simulation top 1%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Yong ZhouYan ZhouJinhua SheYiping LuoPeixin QuLei DingBin WuPeng Li
- Topics
- Iterative Learning Control Systems (42 papers)Advanced Control Systems Design (17 papers)Piezoelectric Actuators and Control (16 papers)
- Partner nations
- ChinaJapanSouth Africa
In The Last Decade
Yong‐Hong Lan
67 papers receiving 966 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 773
- Modeling and Simulation 218
- Computer Networks and Communications 172
- Statistical and Nonlinear Physics 148
- Electrical and Electronic Engineering 96
Countries citing papers authored by Yong‐Hong Lan
This map shows the geographic impact of Yong‐Hong Lan'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 Yong‐Hong Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong‐Hong Lan more than expected).
Fields of papers citing papers by Yong‐Hong Lan
This network shows the impact of papers produced by Yong‐Hong Lan. 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 Yong‐Hong Lan. The network helps show where Yong‐Hong Lan may publish in the future.
Co-authorship network of co-authors of Yong‐Hong Lan
This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Hong Lan. A scholar is included among the top collaborators of Yong‐Hong Lan 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 Yong‐Hong Lan. Yong‐Hong Lan 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 | 6 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Guaranteed Cost Preview and Repetitive Control for Uncertain Linear Discrete Systems | 1 |
| 11 | 17 | |
| 12 | 4 | |
| 13 | 37 | |
| 14 | 47 | |
| 15 | Sliding mode and LMI based control for fractional order unified chaotic systems | 1 |
| 16 | 51 | |
| 17 | Robust D-type iterative learning control based on 2D model | 1 |
| 18 | 94 | |
| 19 | 12 | |
| 20 | 6 |
About Yong‐Hong Lan
Yong‐Hong Lan is a scholar working on Control and Systems Engineering, Modeling and Simulation and Numerical Analysis, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (42 papers), Advanced Control Systems Design (17 papers) and Piezoelectric Actuators and Control (16 papers). The work is most often cited by research in Modeling and Simulation (218 citations), Control and Systems Engineering (773 citations) and Statistical and Nonlinear Physics (148 citations). Yong‐Hong Lan has collaborated with scholars based in China, Japan and South Africa. Frequent co-authors include Yong Zhou, Yan Zhou, Jinhua She, Yiping Luo, Peixin Qu, Lei Ding, Bin Wu, Peng Li, Yunxiang Xie and Min Wu. Their work appears in journals such as IEEE Access, Neurocomputing and Journal of the Franklin Institute.
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.