Tae-Hyoung Kim
- Hardware and Architecture top 2%
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- Advanced Control Systems Optimization 14
- Control Systems and Identification 12
- Fault Detection and Control Systems 11
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- Advancements in Semiconductor Devices and Circuit Design 16
- Semiconductor materials and devices 15
- Low-power high-performance VLSI design 14
- Electric Motor Design and Analysis 9
- Aerospace Engineering top 5%
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- Metaheuristic Optimization Algorithms Research 10
Tae-Hyoung Kim
105 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 102
- Hardware and Architecture 267
- Control and Systems Engineering 840
- Electrical and Electronic Engineering 1.4k
- Computer Networks and Communications 552
- Aerospace Engineering 227
Countries citing papers authored by Tae-Hyoung Kim
This map shows the geographic impact of Tae-Hyoung Kim'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 Tae-Hyoung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Hyoung Kim more than expected).
Fields of papers citing papers by Tae-Hyoung Kim
This network shows the impact of papers produced by Tae-Hyoung Kim. 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 Tae-Hyoung Kim. The network helps show where Tae-Hyoung Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tae-Hyoung Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 2 | |
| 5 | 2018 | 10 | |
| 6 | 2017 | 37 | |
| 7 | 2014 | 2 | |
| 8 | 2013 | 14 | |
| 9 | Diversity-enhanced particle swarm optimizer and its application to optimal flow control of sewer networks | 2013 | 2 |
| 10 | 2013 | 2 | |
| 11 | 2010 | 0 | |
| 12 | Security-Enhanced Local Process Execution Scheme in Cloud Computing Environments | 2010 | 0 |
| 13 | 2010 | 16 | |
| 14 | Pressure Control of SR Driven Hydraulic Oil-Pump Using Data based PID Controller | 2009 | 4 |
| 15 | A Hydraulic-Oil Pump System using SR Drive with a Direct Torque Control Scheme | 2009 | 6 |
| 16 | Novel passive boost power converter for SR drive with high demagnetization voltage | 2008 | 3 |
| 17 | A Study of Evaluation for Service Quality Importance of the Korean Cold Noodle Restaurant in Seoul ${\cdot}$ Kyunggi Area | 2007 | 2 |
| 18 | 2007 | 36 | |
| 19 | Performances of SRM for LSEV | 2005 | 9 |
| 20 | A Performance Comparison of Excitation Strategies For a Low Noise SRM Drive | 2005 | 5 |
About Tae-Hyoung Kim
Tae-Hyoung Kim is a scholar working on Nuclear Energy and Engineering, Control and Systems Engineering and Transportation, having authored 115 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (16 papers), Semiconductor materials and devices (15 papers), Advanced Control Systems Optimization (14 papers), Low-power high-performance VLSI design (14 papers), Control Systems and Identification (12 papers), Fault Detection and Control Systems (11 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Electric Motor Design and Analysis (9 papers). The work is most often cited by research in Hardware and Architecture (267 citations), Control and Systems Engineering (840 citations) and Electrical and Electronic Engineering (1.4k citations). Tae-Hyoung Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Toshiharu Sugie, Chris H. Kim, Jason Liu, Ichiro Maruta, John Keane, Sung Jin Yoo, John Keane, Jian‐Ping Wang, Jonathan Harms and Hui Zhao. Their work appears in journals such as Automatica, Expert Systems with Applications and IEEE Access.
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.