Can Dang
Impact in
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- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Control and Systems Engineering top 10%
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
Papers in
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- Smart Grid Energy Management 7
- Electric Power System Optimization 6
- Electric Vehicles and Infrastructure 4
- Integrated Energy Systems Optimization 3
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- Microgrid Control and Optimization 3
- Co-authors
- Xifan Wang (10 shared papers)Xiuli Wang (5 shared papers)Jiangfeng Zhang (1 shared paper)C.P. Kwong (1 shared paper)Li Li (1 shared paper)Jianzhang Zhao (4 shared papers)Bernhard Dick (4 shared papers)Huimin Guo (4 shared papers)
In The Last Decade
Can Dang
16 papers receiving 373 citations
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 247
- Control and Systems Engineering 96
- Renewable Energy, Sustainability and the Environment 49
- Automotive Engineering 35
- Energy Engineering and Power Technology 9
Countries citing papers authored by Can Dang
This map shows the geographic impact of Can Dang'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 Can Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Dang more than expected).
Fields of papers citing papers by Can Dang
This network shows the impact of papers produced by Can Dang. 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 Can Dang. The network helps show where Can Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Dang, 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 | 2019 | 90 | |
| 2 | 2014 | 76 | |
| 3 | 2016 | 49 | |
| 4 | 2018 | 40 | |
| 5 | 2020 | 35 | |
| 6 | 2018 | 21 | |
| 7 | 2018 | 19 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2016 | 0 |
About Can Dang
Can Dang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Organic Chemistry and Materials Chemistry, having authored 17 papers that have together received 376 indexed citations. Recurring topics across this work include Smart Grid Energy Management (7 papers), Electric Power System Optimization (6 papers), Electric Vehicles and Infrastructure (4 papers), Microgrid Control and Optimization (3 papers), Radical Photochemical Reactions (3 papers), Integrated Energy Systems Optimization (3 papers), Advanced Photocatalysis Techniques (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (247 citations), Control and Systems Engineering (96 citations), Renewable Energy, Sustainability and the Environment (49 citations), Automotive Engineering (35 citations) and Energy Engineering and Power Technology (9 citations). Can Dang has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Xifan Wang, Xiuli Wang, Jiangfeng Zhang, C.P. Kwong, Li Li, Jianzhang Zhao, Bernhard Dick, Huimin Guo, Chengcheng Shao and Yunpeng Xiao. Their work appears in journals such as IEEE Transactions on Smart Grid, IET Generation Transmission & Distribution, Journal of Modern Power Systems and Clean Energy, ACS Omega and Applied 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.