Min Wu
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering
- Mechanical Engineering top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Jinhua SheYasuhiro OhyamaHiroshi HashimotoMingxing FangXuzhi LaiYong HeSimon X. YangAncai Zhang
- Topics
- Adaptive Control of Nonlinear Systems (16 papers)Advanced Control Systems Optimization (7 papers)Advanced Control Systems Design (6 papers)
In The Last Decade
Min Wu
63 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Control and Systems Engineering 899
- Electrical and Electronic Engineering 207
- Mechanical Engineering 182
- Computer Networks and Communications 146
- Artificial Intelligence 89
Countries citing papers authored by Min Wu
This map shows the geographic impact of Min Wu'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 Min Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wu more than expected).
Fields of papers citing papers by Min Wu
This network shows the impact of papers produced by Min Wu. 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 Min Wu. The network helps show where Min Wu may publish in the future.
Co-authorship network of co-authors of Min Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Min Wu. A scholar is included among the top collaborators of Min Wu 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 Min Wu. Min Wu 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 | 1 | |
| 3 | 65 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 69 | |
| 8 | Multi-agent Q-learning with joint state value approximation | 10 |
| 9 | Equivalent-input-disturbance controller design using a general structured state observer | 1 |
| 10 | 14 | |
| 11 | New delay-dependent steady state stability analysis for WAMS assisted power system | 4 |
| 12 | The application of GA-PID control algorithm to DC-DC converter | 11 |
| 13 | 13 | |
| 14 | 0 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 14 |
About Min Wu
Min Wu is a scholar working on Control and Systems Engineering, Fuel Technology and Computational Theory and Mathematics, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (16 papers), Advanced Control Systems Optimization (7 papers) and Advanced Control Systems Design (6 papers). The work is most often cited by research in Control and Systems Engineering (899 citations), Computer Networks and Communications (146 citations) and Mechanical Engineering (182 citations). Min Wu has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Jinhua She, Yasuhiro Ohyama, Hiroshi Hashimoto, Mingxing Fang, Xuzhi Lai, Yong He, Simon X. Yang, Ancai Zhang, Yong He and Xin Chen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Science Advances and Expert Systems with Applications.
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.