Kai-Hung Lu
Impact in
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- Hybrid Renewable Energy Systems
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- Microgrid Control and Optimization
Papers in
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- Power System Optimization and Stability 9
- Frequency Control in Power Systems 8
- Energy Load and Power Forecasting 5
- Wind Turbine Control Systems 4
- Optimal Power Flow Distribution 3
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- Microgrid Control and Optimization 8
- Co-authors
- Ting‐Chia Ou (7 shared papers)Chih-Ming Hong (12 shared papers)Chiou‐Jye Huang (5 shared papers)Cong‐Hui Huang (4 shared papers)Chia‐Sheng Tu (2 shared papers)Whei‐Min Lin (2 shared papers)Yuanhui Li (1 shared paper)Whei-Min Lin (2 shared papers)
In The Last Decade
Kai-Hung Lu
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 43
- Energy Engineering and Power Technology 63
- Control and Systems Engineering 178
- Electrical and Electronic Engineering 280
- Renewable Energy, Sustainability and the Environment 61
- Automotive Engineering 28
Countries citing papers authored by Kai-Hung Lu
This map shows the geographic impact of Kai-Hung Lu'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 Kai-Hung Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Hung Lu more than expected).
Fields of papers citing papers by Kai-Hung Lu
This network shows the impact of papers produced by Kai-Hung Lu. 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 Kai-Hung Lu. The network helps show where Kai-Hung Lu may publish in the future.
Co-authors
The 20 scholars most cited alongside Kai-Hung Lu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 124 | |
| 2 | 2017 | 98 | |
| 3 | 2018 | 32 | |
| 4 | 2009 | 19 | |
| 5 | 2013 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 7 | |
| 8 | 2009 | 7 | |
| 9 | 2009 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2010 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2012 | 2 |
About Kai-Hung Lu
Kai-Hung Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Automotive Engineering and Renewable Energy, Sustainability and the Environment, having authored 25 papers that have together received 360 indexed citations. Recurring topics across this work include Power System Optimization and Stability (9 papers), Microgrid Control and Optimization (8 papers), Frequency Control in Power Systems (8 papers), Energy Load and Power Forecasting (5 papers), Wind Turbine Control Systems (4 papers), Power Systems and Renewable Energy (4 papers), Optimal Power Flow Distribution (3 papers) and Photovoltaic System Optimization Techniques (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (63 citations), Control and Systems Engineering (178 citations), Electrical and Electronic Engineering (280 citations), Renewable Energy, Sustainability and the Environment (61 citations) and Automotive Engineering (28 citations). Kai-Hung Lu has collaborated with scholars based in Taiwan and China. Frequent co-authors include Ting‐Chia Ou, Chih-Ming Hong, Chiou‐Jye Huang, Cong‐Hui Huang, Chia‐Sheng Tu, Whei‐Min Lin, Yuanhui Li, Whei-Min Lin, Hsin‐Chuan Chen and Yulong Lei. Their work appears in journals such as Energies, Energy, Sustainability, Processes and Electric Power Components and 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.