Qi Huang
Impact in
- Energy Engineering and Power Technology top 0.05%
- Hybrid Renewable Energy Systems
- Control and Systems Engineering top 0.2%
- Microgrid Control and Optimization
Papers in
-
- Hybrid Renewable Energy Systems 44
-
- Microgrid Control and Optimization 98
- Co-authors
- Weihao HuZhe ChenDi CaoFrede BlaabjergOlusola BamisileZhenyuan ZhangXiao XuJian Li
- Journals
- IEEE Transactions on Power Systems (19 papers)IEEE Transactions on Industry Applications (17 papers)Renewable Energy (16 papers)Energy Reports (16 papers)Energy (13 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Qi Huang
465 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Energy Engineering and Power Technology 1.4k
- Control and Systems Engineering 3.5k
- Electrical and Electronic Engineering 6.2k
- Automotive Engineering 963
- Renewable Energy, Sustainability and the Environment 835
Countries citing papers authored by Qi Huang
This map shows the geographic impact of Qi Huang'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 Qi Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Huang more than expected).
Fields of papers citing papers by Qi Huang
This network shows the impact of papers produced by Qi Huang. 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 Qi Huang. The network helps show where Qi Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 24 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 18 | |
| 18 | 2020 | 4 | |
| 19 | 2017 | 51 | |
| 20 | Simulation-Based Decision Support for Command and Control in Joint Operations | 2003 | 5 |
About Qi Huang
Qi Huang is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications, having authored 515 papers that have together received 9.1k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (98 papers), Smart Grid Energy Management (81 papers), Power System Optimization and Stability (51 papers), Hybrid Renewable Energy Systems (44 papers), Magnetic Field Sensors Techniques (40 papers), Optimal Power Flow Distribution (40 papers), Electric Vehicles and Infrastructure (38 papers) and Energy Load and Power Forecasting (37 papers). The work is most often cited by research in Energy Engineering and Power Technology (1.4k citations), Control and Systems Engineering (3.5k citations), Electrical and Electronic Engineering (6.2k citations), Automotive Engineering (963 citations) and Renewable Energy, Sustainability and the Environment (835 citations). Qi Huang has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Weihao Hu, Zhe Chen, Di Cao, Frede Blaabjerg, Olusola Bamisile, Zhenyuan Zhang, Xiao Xu, Jian Li, Dongsheng Cai and Junbo Zhao. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industry Applications, Renewable Energy, Energy Reports and Energy.
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.