Gaiping Sun
Impact in
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- Power Systems and Renewable Energy
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- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Electric Power System Optimization
- Integrated Energy Systems Optimization
Papers in
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- Energy Load and Power Forecasting 7
- Smart Grid Energy Management 6
- Electric Motor Design and Analysis 5
- Integrated Energy Systems Optimization 3
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- Magnetic Bearings and Levitation Dynamics 4
- Co-authors
- Xu Wang (4 shared papers)Chuanwen Jiang (3 shared papers)Ronghui Liu (13 shared papers)Shunfu Lin (6 shared papers)Fen Li (4 shared papers)S. M. Muyeen (4 shared papers)Yang Fu (1 shared paper)Yangyang Liu (1 shared paper)
In The Last Decade
Gaiping Sun
17 papers receiving 287 citations
Peers
Comparison fields: 5 of 44
- Energy Engineering and Power Technology 27
- Electrical and Electronic Engineering 231
- Artificial Intelligence 89
- Management Science and Operations Research 31
- Building and Construction 29
Countries citing papers authored by Gaiping Sun
This map shows the geographic impact of Gaiping Sun'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 Gaiping Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaiping Sun more than expected).
Fields of papers citing papers by Gaiping Sun
This network shows the impact of papers produced by Gaiping Sun. 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 Gaiping Sun. The network helps show where Gaiping Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaiping Sun, 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 | 2017 | 97 | |
| 2 | 2022 | 47 | |
| 3 | 2020 | 41 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 24 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2019 | 0 |
About Gaiping Sun
Gaiping Sun is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Management Science and Operations Research, Electronic, Optical and Magnetic Materials and Artificial Intelligence, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (7 papers), Smart Grid Energy Management (6 papers), Electric Motor Design and Analysis (5 papers), Magnetic Bearings and Levitation Dynamics (4 papers), Magnetic Properties and Applications (4 papers), Grey System Theory Applications (4 papers), Solar Radiation and Photovoltaics (3 papers) and Integrated Energy Systems Optimization (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (27 citations), Electrical and Electronic Engineering (231 citations), Artificial Intelligence (89 citations), Management Science and Operations Research (31 citations) and Building and Construction (29 citations). Gaiping Sun has collaborated with scholars based in China and Qatar. Frequent co-authors include Xu Wang, Chuanwen Jiang, Ronghui Liu, Shunfu Lin, Fen Li, S. M. Muyeen, Yang Fu, Yangyang Liu, Xiu Yang and Teng Chen. Their work appears in journals such as Electric Power Systems Research, International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution, IEEE Transactions on Industry Applications and IET Electric Power 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.