Junyong Wu
Impact in
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- Hybrid Renewable Energy Systems
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- Microgrid Control and Optimization
- Power Systems Fault Detection
Papers in
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- Power System Optimization and Stability 20
- Smart Grid Energy Management 19
- Smart Grid and Power Systems 16
- Optimal Power Flow Distribution 14
- Energy Load and Power Forecasting 11
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- Microgrid Control and Optimization 16
- Co-authors
- Liangliang Hao (18 shared papers)Tengfei Ma (7 shared papers)Yanzhen Zhou (7 shared papers)Dezhi Li (7 shared papers)Huaguang Yan (6 shared papers)Zhihong Yu (4 shared papers)Wei‐Jen Lee (1 shared paper)Baoqin Li (8 shared papers)
In The Last Decade
Junyong Wu
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Energy Engineering and Power Technology 259
- Control and Systems Engineering 613
- Electrical and Electronic Engineering 1.2k
- Safety, Risk, Reliability and Quality 171
- Building and Construction 97
Countries citing papers authored by Junyong Wu
This map shows the geographic impact of Junyong 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 Junyong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyong Wu more than expected).
Fields of papers citing papers by Junyong Wu
This network shows the impact of papers produced by Junyong 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 Junyong Wu. The network helps show where Junyong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyong Wu, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 267 | |
| 2 | 2018 | 225 | |
| 3 | 2018 | 107 | |
| 4 | 2017 | 70 | |
| 5 | 2016 | 54 | |
| 6 | 2017 | 43 | |
| 7 | 2018 | 38 | |
| 8 | 2014 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2020 | 34 | |
| 12 | 2022 | 32 | |
| 13 | 2016 | 28 | |
| 14 | 2013 | 26 | |
| 15 | 2015 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2014 | 18 | |
| 18 | 2016 | 18 | |
| 19 | 2024 | 15 | |
| 20 | 2018 | 15 |
About Junyong Wu
Junyong Wu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Energy Engineering and Power Technology and Artificial Intelligence, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Power System Optimization and Stability (20 papers), Smart Grid Energy Management (19 papers), Power System Reliability and Maintenance (19 papers), Microgrid Control and Optimization (16 papers), Smart Grid and Power Systems (16 papers), Optimal Power Flow Distribution (14 papers), Energy Load and Power Forecasting (11 papers) and Power Systems and Renewable Energy (10 papers). The work is most often cited by research in Energy Engineering and Power Technology (259 citations), Control and Systems Engineering (613 citations), Electrical and Electronic Engineering (1.2k citations), Safety, Risk, Reliability and Quality (171 citations) and Building and Construction (97 citations). Junyong Wu has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Liangliang Hao, Tengfei Ma, Yanzhen Zhou, Dezhi Li, Huaguang Yan, Zhihong Yu, Wei‐Jen Lee, Baoqin Li, Zicheng Liu and Fei Xiong. Their work appears in journals such as Energies, International Journal of Electrical Power & Energy Systems, IEEE Access, Dianli xitong zidonghua and IEEE Transactions on Power Delivery.
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.