Jun Qi
Impact in
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- Microgrid Control and Optimization
Papers in
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- Power System Optimization and Stability 10
- HVDC Systems and Fault Protection 8
- High-Voltage Power Transmission Systems 7
- Smart Grid Energy Management 6
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- Microgrid Control and Optimization 8
- Co-authors
- Youbing Zhang (8 shared papers)Yi Chen (1 shared paper)Xiaoyan Bian (1 shared paper)Wenbin Zhao (1 shared paper)Junhui Li (3 shared papers)Xiaohai Wang (6 shared papers)Lei Chen (3 shared papers)Yong Min (3 shared papers)
- Journals
- IEEE Access (2 papers)Neurocomputing (2 papers)Energies (2 papers)IEEE/CAA Journal of Automatica Sinica (2 papers)Energy (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Qi
52 papers receiving 556 citations
Peers
Comparison fields: 5 of 43
- Energy Engineering and Power Technology 98
- Control and Systems Engineering 285
- Electrical and Electronic Engineering 452
- Renewable Energy, Sustainability and the Environment 125
- Automotive Engineering 56
Countries citing papers authored by Jun Qi
This map shows the geographic impact of Jun Qi'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 Jun Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qi more than expected).
Fields of papers citing papers by Jun Qi
This network shows the impact of papers produced by Jun Qi. 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 Jun Qi. The network helps show where Jun Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 61 | |
| 4 | 2017 | 46 | |
| 5 | 2018 | 41 | |
| 6 | 2019 | 31 | |
| 7 | 2023 | 26 | |
| 8 | 2018 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2006 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2009 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2008 | 12 | |
| 16 | 2014 | 9 | |
| 17 | Optimal Scheduling Scheme of Electric Vehicles in Grid-connected Microgrid with High Penetration Photovoltaic Power | 2016 | 5 |
| 18 | 2017 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2016 | 5 |
About Jun Qi
Jun Qi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Artificial Intelligence and Automotive Engineering, having authored 58 papers that have together received 572 indexed citations. Recurring topics across this work include Power Systems and Renewable Energy (12 papers), Power System Optimization and Stability (10 papers), Microgrid Control and Optimization (8 papers), HVDC Systems and Fault Protection (8 papers), High-Voltage Power Transmission Systems (7 papers), Smart Grid Energy Management (6 papers), Advanced Battery Technologies Research (5 papers) and Photovoltaic System Optimization Techniques (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (98 citations), Control and Systems Engineering (285 citations), Electrical and Electronic Engineering (452 citations), Renewable Energy, Sustainability and the Environment (125 citations) and Automotive Engineering (56 citations). Jun Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Youbing Zhang, Yi Chen, Xiaoyan Bian, Wenbin Zhao, Junhui Li, Xiaohai Wang, Lei Chen, Yong Min, Hongguang Zhang and Fei Xu. Their work appears in journals such as IEEE Access, Neurocomputing, Energies, IEEE/CAA Journal of Automatica Sinica 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.