Yunjun Yu
Impact in
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- Power Systems and Renewable Energy
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- Photovoltaic System Optimization Techniques
Papers in
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- Energy Load and Power Forecasting 8
- Smart Grid Energy Management 8
- Multilevel Inverters and Converters 6
- Fuel Cells and Related Materials 3
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- Microgrid Control and Optimization 11
- Co-authors
- Jianyong Zhu (1 shared paper)Jin Wang (1 shared paper)Weinan Gao (3 shared papers)Tao Lin (1 shared paper)Xuemei Bai (1 shared paper)Ziyang Wu (2 shared papers)Yongtong Mu (1 shared paper)Weidong Min (2 shared papers)
- Journals
- IEEE Access (8 papers)Marine Policy (2 papers)Energies (2 papers)Atmosphere (1 paper)Electronics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yunjun Yu
42 papers receiving 760 citations
Peers
Comparison fields: 5 of 94
- Energy Engineering and Power Technology 54
- Renewable Energy, Sustainability and the Environment 181
- Artificial Intelligence 267
- Control and Systems Engineering 183
- Electrical and Electronic Engineering 438
Countries citing papers authored by Yunjun Yu
This map shows the geographic impact of Yunjun Yu'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 Yunjun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunjun Yu more than expected).
Fields of papers citing papers by Yunjun Yu
This network shows the impact of papers produced by Yunjun Yu. 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 Yunjun Yu. The network helps show where Yunjun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunjun Yu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 223 | |
| 2 | 2013 | 66 | |
| 3 | 2007 | 47 | |
| 4 | 2021 | 35 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 29 | |
| 7 | 2023 | 29 | |
| 8 | 2022 | 29 | |
| 9 | 2018 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2005 | 20 | |
| 15 | 2021 | 16 | |
| 16 | 2020 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2019 | 10 |
About Yunjun Yu
Yunjun Yu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Computational Theory and Mathematics, having authored 48 papers that have together received 787 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (11 papers), Energy Load and Power Forecasting (8 papers), Smart Grid Energy Management (8 papers), Solar Radiation and Photovoltaics (7 papers), Multilevel Inverters and Converters (6 papers), Photovoltaic System Optimization Techniques (5 papers), Adaptive Dynamic Programming Control (4 papers) and Fuel Cells and Related Materials (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (54 citations), Renewable Energy, Sustainability and the Environment (181 citations), Artificial Intelligence (267 citations), Control and Systems Engineering (183 citations) and Electrical and Electronic Engineering (438 citations). Yunjun Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianyong Zhu, Jin Wang, Weinan Gao, Tao Lin, Xuemei Bai, Ziyang Wu, Yongtong Mu, Weidong Min, Masoud Davari and Chao Deng. Their work appears in journals such as IEEE Access, Marine Policy, Energies, Atmosphere and 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.