Ying-Tung Hsiao
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Joe‐Air JiangCheng-Long ChuangCheng-Chih ChienTsong-Liang HuangHsiao‐Dong ChiangYuanlin ChenYung‐Chung WangChien-Hsing Lee
- Topics
- Power Quality and Harmonics (7 papers)Optimal Power Flow Distribution (7 papers)Power System Reliability and Maintenance (5 papers)
- Cited by
- Control and Systems EngineeringRenewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power Technology
- Partner nations
- TaiwanUnited States
In The Last Decade
Ying-Tung Hsiao
35 papers receiving 964 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 746
- Control and Systems Engineering 446
- Renewable Energy, Sustainability and the Environment 302
- Artificial Intelligence 242
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Ying-Tung Hsiao
This map shows the geographic impact of Ying-Tung Hsiao'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-Tung Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Tung Hsiao more than expected).
Fields of papers citing papers by Ying-Tung Hsiao
This network shows the impact of papers produced by Ying-Tung Hsiao. 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-Tung Hsiao. The network helps show where Ying-Tung Hsiao may publish in the future.
Co-authorship network of co-authors of Ying-Tung Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Tung Hsiao. A scholar is included among the top collaborators of Ying-Tung Hsiao 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-Tung Hsiao. Ying-Tung Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 104 | |
| 7 | 15 | |
| 8 | 31 | |
| 9 | 1 | |
| 10 | 39 | |
| 11 | 203 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 41 | |
| 15 | 7 | |
| 16 | 62 | |
| 17 | 4 | |
| 18 | 24 | |
| 19 | 11 | |
| 20 | 3 |
About Ying-Tung Hsiao
Ying-Tung Hsiao is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Power Quality and Harmonics (7 papers), Optimal Power Flow Distribution (7 papers) and Power System Reliability and Maintenance (5 papers). The work is most often cited by research in Control and Systems Engineering (446 citations), Renewable Energy, Sustainability and the Environment (302 citations) and Energy Engineering and Power Technology (41 citations). Ying-Tung Hsiao has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Joe‐Air Jiang, Cheng-Long Chuang, Cheng-Chih Chien, Tsong-Liang Huang, Hsiao‐Dong Chiang, Yuanlin Chen, Yung‐Chung Wang, Chien-Hsing Lee, Chih-Hung Hung and Chih‐Wen Liu. Their work appears in journals such as IEEE Transactions on Power Systems, Information Sciences and IEEE Transactions on Power Delivery.
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.