Ying-Pin Chang
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Chia-Nan KoChi‐Jui WuChinyao LowChia‐Ju WuFengjiao LiuD J GravesLieh-Dai YangYing‐Hsin Liang
- Topics
- Power Quality and Harmonics (13 papers)Photovoltaic System Optimization Techniques (6 papers)Solar Radiation and Photovoltaics (6 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Partner nations
- Taiwan
In The Last Decade
Ying-Pin Chang
29 papers receiving 568 citations
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 281
- Artificial Intelligence 241
- Renewable Energy, Sustainability and the Environment 168
- Control and Systems Engineering 112
- Computational Theory and Mathematics 45
Countries citing papers authored by Ying-Pin Chang
This map shows the geographic impact of Ying-Pin 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 Ying-Pin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Pin Chang more than expected).
Fields of papers citing papers by Ying-Pin Chang
This network shows the impact of papers produced by Ying-Pin 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 Ying-Pin Chang. The network helps show where Ying-Pin Chang may publish in the future.
Co-authorship network of co-authors of Ying-Pin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Pin Chang. A scholar is included among the top collaborators of Ying-Pin Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-Pin Chang. Ying-Pin Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 75 | |
| 7 | 41 | |
| 8 | 2 | |
| 9 | 41 | |
| 10 | 3 | |
| 11 | 42 | |
| 12 | 15 | |
| 13 | 19 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | 3 | |
| 17 | 52 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 21 |
About Ying-Pin Chang
Ying-Pin Chang is a scholar working on Control and Systems Engineering, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 29 papers that have together received 606 indexed citations. Recurring topics across this work include Power Quality and Harmonics (13 papers), Photovoltaic System Optimization Techniques (6 papers) and Solar Radiation and Photovoltaics (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (168 citations), Energy Engineering and Power Technology (25 citations) and Artificial Intelligence (241 citations). Ying-Pin Chang has collaborated with scholars based in Taiwan. Frequent co-authors include Chia-Nan Ko, Chi‐Jui Wu, Chinyao Low, Chia‐Ju Wu, Fengjiao Liu, D J Graves, Lieh-Dai Yang, Ying‐Hsin Liang, Yung-Sung Chuang and Meng‐Chyi Wu. Their work appears in journals such as Biochemistry, Applied Energy and IEEE Transactions on Power 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.