Yijun Xu
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- Probabilistic and Robust Engineering Design 15
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- Power System Optimization and Stability 15
- Integrated Energy Systems Optimization 10
- Optimal Power Flow Distribution 8
- Smart Grid Energy Management 7
- Electric Power System Optimization 7
- Energy Load and Power Forecasting 6
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- Model Reduction and Neural Networks 11
- Co-authors
- Lamine MiliMert KorkaliXiao ChenJunbo ZhaoJaber ValinejadLiang MinShuai LuMichael R. von Spakovsky
- Cited by
- Energy Engineering and Power TechnologyStatistics, Probability and UncertaintyComputational Mathematics
- Journals
- SHILAP Revista de lepidopterología (2 papers)Applied Energy (1 paper)IEEE Transactions on Power Systems (20 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yijun Xu
53 papers receiving 652 citations
Peers
Comparison fields: 5 of 62
- Energy Engineering and Power Technology 57
- Statistics, Probability and Uncertainty 123
- Computational Mathematics 7
- Safety, Risk, Reliability and Quality 101
- Control and Systems Engineering 208
Countries citing papers authored by Yijun Xu
This map shows the geographic impact of Yijun Xu'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 Yijun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijun Xu more than expected).
Fields of papers citing papers by Yijun Xu
This network shows the impact of papers produced by Yijun Xu. 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 Yijun Xu. The network helps show where Yijun Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yijun Xu, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 2 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 17 |
About Yijun Xu
Yijun Xu is a scholar working on Statistics, Probability and Uncertainty, Computational Mathematics and Statistical and Nonlinear Physics, having authored 62 papers that have together received 674 indexed citations. Recurring topics across this work include Power System Optimization and Stability (15 papers), Probabilistic and Robust Engineering Design (15 papers), Model Reduction and Neural Networks (11 papers), Integrated Energy Systems Optimization (10 papers), Optimal Power Flow Distribution (8 papers), Smart Grid Energy Management (7 papers), Electric Power System Optimization (7 papers) and Energy Load and Power Forecasting (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (57 citations), Statistics, Probability and Uncertainty (123 citations) and Computational Mathematics (7 citations). Yijun Xu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Lamine Mili, Mert Korkali, Xiao Chen, Junbo Zhao, Jaber Valinejad, Liang Min, Shuai Lu, Michael R. von Spakovsky, Wei Gu and Adrian Sandu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Transactions on Power Systems.
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.