Chen-Han Wu
Impact in
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- Hybrid Renewable Energy Systems
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- Heavy metals in environment
Papers in
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- Advanced Algorithms and Applications 3
- Extremum Seeking Control Systems 3
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- Photovoltaic System Optimization Techniques 3
- Co-authors
- Her‐Terng Yau (3 shared papers)Ulrike Lipka (1 shared paper)Andrea Polle (1 shared paper)Hong Li (1 shared paper)Zhi‐Bin Luo (1 shared paper)Chao Zhang (1 shared paper)Cheng‐Chien Kuo (2 shared papers)Chih‐Jer Lin (1 shared paper)
In The Last Decade
Chen-Han Wu
18 papers receiving 337 citations
Peers
Comparison fields: 5 of 76
- Energy Engineering and Power Technology 24
- Pollution 63
- Renewable Energy, Sustainability and the Environment 56
- Plant Science 121
- Dermatology 20
Countries citing papers authored by Chen-Han Wu
This map shows the geographic impact of Chen-Han Wu'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 Chen-Han Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Han Wu more than expected).
Fields of papers citing papers by Chen-Han Wu
This network shows the impact of papers produced by Chen-Han Wu. 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 Chen-Han Wu. The network helps show where Chen-Han Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Han Wu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 145 | |
| 2 | 2011 | 37 | |
| 3 | 2021 | 28 | |
| 4 | 2013 | 27 | |
| 5 | 2023 | 26 | |
| 6 | 2020 | 19 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2019 | 9 | |
| 10 | 2010 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2021 | 0 | |
| 20 | 2022 | 0 |
About Chen-Han Wu
Chen-Han Wu is a scholar working on Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Dermatology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 341 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Advanced Algorithms and Applications (3 papers), Photovoltaic System Optimization Techniques (3 papers), Extremum Seeking Control Systems (3 papers), Dermatologic Treatments and Research (2 papers), Robotic Path Planning Algorithms (2 papers), Aluminum toxicity and tolerance in plants and animals (1 paper) and Advancements in Semiconductor Devices and Circuit Design (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (24 citations), Pollution (63 citations), Renewable Energy, Sustainability and the Environment (56 citations), Plant Science (121 citations) and Dermatology (20 citations). Chen-Han Wu has collaborated with scholars based in Taiwan, China and Germany. Frequent co-authors include Her‐Terng Yau, Ulrike Lipka, Andrea Polle, Hong Li, Zhi‐Bin Luo, Chao Zhang, Cheng‐Chien Kuo, Chih‐Jer Lin, Jue Ding and Peifen Weng. Their work appears in journals such as Applied Sciences, IEEE Access, Journal of Biomedical Science, Physics of Fluids and International Journal of Molecular Sciences.
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.