Gang Mu
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Energy Engineering and Power Technology top 2%
- Automotive Engineering top 10%
- Artificial Intelligence
- Topics
- Microgrid Control and Optimization (22 papers)Power Systems and Renewable Energy (17 papers)Power System Optimization and Stability (15 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
In The Last Decade
Gang Mu
67 papers receiving 685 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 620
- Control and Systems Engineering 302
- Energy Engineering and Power Technology 140
- Automotive Engineering 86
- Artificial Intelligence 52
Countries citing papers authored by Gang Mu
This map shows the geographic impact of Gang Mu'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 Gang Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Mu more than expected).
Fields of papers citing papers by Gang Mu
This network shows the impact of papers produced by Gang Mu. 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 Gang Mu. The network helps show where Gang Mu may publish in the future.
Co-authorship network of co-authors of Gang Mu
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Mu. A scholar is included among the top collaborators of Gang Mu 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 Gang Mu. Gang Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 44 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 34 | |
| 10 | 15 | |
| 11 | 29 | |
| 12 | Real-time prediction of wind power based on data mining and fuzzy clustering | 4 |
| 13 | Review and Prospect of the Spatial Load Forecasting Methods | 17 |
| 14 | Multi-Time Interval and Multi-Objective Optimization Setting of Difference Coefficient of Generator Excitation System | 1 |
| 15 | Analysis on Abnormal Disconnection of Doubly Fed Induction Generator Wind Turbines From Power Grid and Its Demand on Reactive Power | 6 |
| 16 | PMSM-DTC based on sliding mode variable structure | 2 |
| 17 | Dynamic modeling and nonlinear decoupled control of back-to-back voltage source converter | 3 |
| 18 | Design of PMSM control system based on fuzzy logic | 5 |
| 19 | Study of impact of boiler's dynamic characteristics on dynamic frequency process in power system | 1 |
| 20 | 30 |
About Gang Mu
Gang Mu is a scholar working on Energy Engineering and Power Technology, Ecological Modeling and Control and Systems Engineering, having authored 70 papers that have together received 711 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (22 papers), Power Systems and Renewable Energy (17 papers) and Power System Optimization and Stability (15 papers). The work is most often cited by research in Energy Engineering and Power Technology (140 citations), Control and Systems Engineering (302 citations) and Electrical and Electronic Engineering (620 citations). Gang Mu has collaborated with scholars based in China, Vietnam and Hong Kong. Frequent co-authors include Gangui Yan, Junhui Li, Dongyuan Liu, Xiuqiang He, Hua Geng, Guowei Cai, Ka Wing Chan, Zhe Chen, Ruijin Liao and Haiyang Liu. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Applied Energy and IEEE Transactions on Power Electronics.
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.