Yurong Nan
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Qiang ChenLiang TaoXuemei RenYujia GeJing NaLinlin ShiYi ChenChen Yi
- Topics
- Adaptive Control of Nonlinear Systems (22 papers)Iterative Learning Control Systems (17 papers)Advanced DC-DC Converters (8 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsElectrical and Electronic Engineering
- Partner nations
- ChinaUnited States
In The Last Decade
Yurong Nan
40 papers receiving 447 citations
Peers
Comparison fields: 5 of 51
- Control and Systems Engineering 292
- Electrical and Electronic Engineering 166
- Mechanical Engineering 86
- Computer Networks and Communications 77
- Artificial Intelligence 57
Countries citing papers authored by Yurong Nan
This map shows the geographic impact of Yurong Nan'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 Yurong Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yurong Nan more than expected).
Fields of papers citing papers by Yurong Nan
This network shows the impact of papers produced by Yurong Nan. 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 Yurong Nan. The network helps show where Yurong Nan may publish in the future.
Co-authorship network of co-authors of Yurong Nan
This figure shows the co-authorship network connecting the top 25 collaborators of Yurong Nan. A scholar is included among the top collaborators of Yurong Nan 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 Yurong Nan. Yurong Nan 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 | 10 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 78 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | 35 | |
| 15 | 1 | |
| 16 | Control strategy of PWM inverter based on state-observer | 0 |
| 17 | Position Control for Permanent Magnet Linear Motor using Iterative Learning Control | 0 |
| 18 | Study on Repetitive Control of the Position Servo System | 2 |
| 19 | A Survey for Control Strategy of Permanent Magnetism Linear Synchronous Motors | 3 |
| 20 | Compound Switch and Its Application in Var Compensation of Low-voltage Based on Single-chip Computer | 0 |
About Yurong Nan
Yurong Nan is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 45 papers that have together received 462 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (22 papers), Iterative Learning Control Systems (17 papers) and Advanced DC-DC Converters (8 papers). The work is most often cited by research in Control and Systems Engineering (292 citations), Computer Networks and Communications (77 citations) and Electrical and Electronic Engineering (166 citations). Yurong Nan has collaborated with scholars based in China and United States. Frequent co-authors include Qiang Chen, Liang Tao, Xuemei Ren, Yujia Ge, Jing Na, Linlin Shi, Yi Chen, Chen Yi, Li Yu and Xiaoqing Tang. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Access and Neurocomputing.
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.