Da Xu
Impact in
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- Hybrid Renewable Energy Systems
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- Microgrid Control and Optimization
Papers in
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- Integrated Energy Systems Optimization 17
- Smart Grid Energy Management 12
- HVDC Systems and Fault Protection 5
- Optimal Power Flow Distribution 5
- Frequency Control in Power Systems 4
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- Microgrid Control and Optimization 16
- Co-authors
- Bin Zhou (13 shared papers)Canbing Li (10 shared papers)Qiuwei Wu (7 shared papers)Sheng Huang (4 shared papers)Ka Wing Chan (6 shared papers)Li Bai (1 shared paper)Yijia Cao (4 shared papers)C. Y. Chung (2 shared papers)
In The Last Decade
Da Xu
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Energy Engineering and Power Technology 307
- Control and Systems Engineering 513
- Electrical and Electronic Engineering 1.0k
- Parasitology 88
- Endocrinology 47
Countries citing papers authored by Da Xu
This map shows the geographic impact of Da 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 Da Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Xu more than expected).
Fields of papers citing papers by Da Xu
This network shows the impact of papers produced by Da 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 Da Xu. The network helps show where Da Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 288 | |
| 2 | 2018 | 159 | |
| 3 | 2020 | 106 | |
| 4 | 2018 | 102 | |
| 5 | 2020 | 95 | |
| 6 | 2021 | 60 | |
| 7 | 2022 | 51 | |
| 8 | 2014 | 50 | |
| 9 | 2015 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2022 | 38 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 35 | |
| 14 | 2019 | 33 | |
| 15 | 2015 | 29 | |
| 16 | 2023 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2017 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 2023 | 22 |
About Da Xu
Da Xu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Infectious Diseases and Molecular Biology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (17 papers), Microgrid Control and Optimization (16 papers), Smart Grid Energy Management (12 papers), Hybrid Renewable Energy Systems (12 papers), Tuberculosis Research and Epidemiology (7 papers), HVDC Systems and Fault Protection (5 papers), Optimal Power Flow Distribution (5 papers) and Frequency Control in Power Systems (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (307 citations), Control and Systems Engineering (513 citations), Electrical and Electronic Engineering (1.0k citations), Parasitology (88 citations) and Endocrinology (47 citations). Da Xu has collaborated with scholars based in China, Macao and Denmark. Frequent co-authors include Bin Zhou, Canbing Li, Qiuwei Wu, Sheng Huang, Ka Wing Chan, Li Bai, Yijia Cao, C. Y. Chung, Shiwei Xia and Zhibin Wu. Their work appears in journals such as Applied Energy, IEEE Transactions on Industrial Informatics, Frontiers in Energy Research, Veterinary Microbiology and IEEE Transactions on Sustainable 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.