Y.-R. Chang
Impact in
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- Energy Load and Power Forecasting
- Wind Turbine Control Systems
- Multilevel Inverters and Converters
- Electric Power System Optimization
- Advanced DC-DC Converters
Papers in
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- Advanced DC-DC Converters 6
- Multilevel Inverters and Converters 6
- Islanding Detection in Power Systems 6
- Energy Load and Power Forecasting 3
- Smart Grid Energy Management 3
- Optimal Power Flow Distribution 3
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- Microgrid Control and Optimization 13
- Co-authors
- G. W. Chang (8 shared papers)H. J. Lu (5 shared papers)Rong‐Jong Wai (2 shared papers)Chung‐Yung Lin (2 shared papers)Kuo Lung Lian (3 shared papers)C. Liu (1 shared paper)Yen‐Wen Chen (2 shared papers)Yaow-Ming Chen (3 shared papers)
- Partner nations
- TaiwanUnited StatesIndonesia
In The Last Decade
Y.-R. Chang
19 papers receiving 411 citations
Peers
Comparison fields: 5 of 39
- Energy Engineering and Power Technology 41
- Electrical and Electronic Engineering 380
- Control and Systems Engineering 146
- Aerospace Engineering 81
- Artificial Intelligence 98
Countries citing papers authored by Y.-R. Chang
This map shows the geographic impact of Y.-R. Chang'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 Y.-R. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.-R. Chang more than expected).
Fields of papers citing papers by Y.-R. Chang
This network shows the impact of papers produced by Y.-R. Chang. 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 Y.-R. Chang. The network helps show where Y.-R. Chang may publish in the future.
Co-authors
The 21 scholars most cited alongside Y.-R. Chang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 211 | |
| 2 | 2007 | 94 | |
| 3 | 2007 | 22 | |
| 4 | 2013 | 14 | |
| 5 | 2016 | 12 | |
| 6 | 2016 | 9 | |
| 7 | 2015 | 7 | |
| 8 | 2018 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2013 | 5 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2016 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2011 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2013 | 0 |
About Y.-R. Chang
Y.-R. Chang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Energy Engineering and Power Technology and Astronomy and Astrophysics, having authored 21 papers that have together received 417 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (13 papers), Advanced DC-DC Converters (6 papers), Multilevel Inverters and Converters (6 papers), Islanding Detection in Power Systems (6 papers), Advanced Battery Technologies Research (3 papers), Energy Load and Power Forecasting (3 papers), Smart Grid Energy Management (3 papers) and Optimal Power Flow Distribution (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Electrical and Electronic Engineering (380 citations), Control and Systems Engineering (146 citations), Aerospace Engineering (81 citations) and Artificial Intelligence (98 citations). Y.-R. Chang has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include G. W. Chang, H. J. Lu, Rong‐Jong Wai, Chung‐Yung Lin, Kuo Lung Lian, C. Liu, Yen‐Wen Chen, Yaow-Ming Chen, Mat Syai’in and Te‐Tien Ku. Their work appears in journals such as IET Electric Power Applications and Renewable 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.