Sung-Hoe Huh
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Joo‐Hoo ParkSangwoo SeoGwi-Tae ParkJisu YooFrede BlaabjergIck ChoyKyo‐Beum LeeDong‐Won Kim
- Topics
- Sensorless Control of Electric Motors (5 papers)Neural Networks and Applications (5 papers)Adaptive Control of Nonlinear Systems (4 papers)
- Journals
- IEEE Transactions on Energy ConversionInternational Journal of Control Automation and SystemsJournal of Power Electronics
- Partner nations
- South KoreaDenmark
In The Last Decade
Sung-Hoe Huh
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 28
- Control and Systems Engineering 220
- Artificial Intelligence 100
- Electrical and Electronic Engineering 92
- Computational Theory and Mathematics 51
- Computer Networks and Communications 31
Countries citing papers authored by Sung-Hoe Huh
This map shows the geographic impact of Sung-Hoe Huh'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 Sung-Hoe Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Hoe Huh more than expected).
Fields of papers citing papers by Sung-Hoe Huh
This network shows the impact of papers produced by Sung-Hoe Huh. 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 Sung-Hoe Huh. The network helps show where Sung-Hoe Huh may publish in the future.
Co-authorship network of co-authors of Sung-Hoe Huh
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Hoe Huh. A scholar is included among the top collaborators of Sung-Hoe Huh 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 Sung-Hoe Huh. Sung-Hoe Huh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sensorless Speed Control System Using a Neural Network | 14 |
| 2 | 208 | |
| 3 | 37 | |
| 4 | Uncertainty Observer using the Radial Basis Function Networks for Induction Motor Control | 6 |
| 5 | A Novel Soft Computing Technique for the Shortcoming of the Polynomial Neural Network | 1 |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | A Robust Sensorless Vector Control System for Induction Motors | 2 |
| 10 | 22 | |
| 11 | A Neuro Fuzzy Controller for DC-DC Converters | 1 |
About Sung-Hoe Huh
Sung-Hoe Huh is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 11 papers that have together received 308 indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (5 papers), Neural Networks and Applications (5 papers) and Adaptive Control of Nonlinear Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (220 citations), Computational Theory and Mathematics (51 citations) and Artificial Intelligence (100 citations). Sung-Hoe Huh has collaborated with scholars based in South Korea and Denmark. Frequent co-authors include Joo‐Hoo Park, Sangwoo Seo, Gwi-Tae Park, Jisu Yoo, Frede Blaabjerg, Ick Choy, Kyo‐Beum Lee, Dong‐Won Kim, Gyu-Yeong Choe and D.S. Hyun. Their work appears in journals such as IEEE Transactions on Energy Conversion, International Journal of Control Automation and Systems and Journal of Power Electronics.
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.