Hoon Kang
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems 3
- Fault Detection and Control Systems 3
- Artificial Intelligence top 10%
- Fuzzy Logic and Control Systems 10
- Neural Networks and Applications 10
-
- Video Surveillance and Tracking Methods 4
-
- Hydrological Forecasting Using AI 3
-
- Fuzzy Systems and Optimization 4
-
- Advanced Algebra and Logic 3
- Co-authors
- George VachtsevanosJeill OhHo‐Hyun ParkHojun LeeSungwook YuJianlin ChengJian ChengJinhui Li
- Cited by
- Control and Systems EngineeringArtificial IntelligenceEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Automatic Control (1 paper)Sensors (1 paper)IEEE Transactions on Energy Conversion (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Hoon Kang
28 papers receiving 318 citations
Peers
Comparison fields: 5 of 74
- Control and Systems Engineering 116
- Artificial Intelligence 121
- Energy Engineering and Power Technology 11
- Computer Vision and Pattern Recognition 69
- Environmental Engineering 31
Countries citing papers authored by Hoon Kang
This map shows the geographic impact of Hoon Kang'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 Hoon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoon Kang more than expected).
Fields of papers citing papers by Hoon Kang
This network shows the impact of papers produced by Hoon Kang. 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 Hoon Kang. The network helps show where Hoon Kang may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Hoon Kang, 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 | 2 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 0 | |
| 5 | 2018 | 2 | |
| 6 | 2015 | 1 | |
| 7 | 2006 | 2 | |
| 8 | 2006 | 57 | |
| 9 | Visual Object Tracking based on Real-time Particle Filters | 2005 | 1 |
| 10 | Color Space Classification by Using Additive Competitive Learning | 2003 | 1 |
| 11 | 2003 | 1 | |
| 12 | 2002 | 2 | |
| 13 | 2002 | 7 | |
| 14 | 2002 | 4 | |
| 15 | 1993 | 5 | |
| 16 | A Systematic Design of Automatic Fuzzy Rule Generation for Dynamic Systems | 1992 | 2 |
| 17 | 1992 | 12 | |
| 18 | 1992 | 5 | |
| 19 | 1990 | 35 | |
| 20 | 1989 | 48 |
About Hoon Kang
Hoon Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 34 papers that have together received 345 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (10 papers), Neural Networks and Applications (10 papers), Fuzzy Systems and Optimization (4 papers), Video Surveillance and Tracking Methods (4 papers), Hydrological Forecasting Using AI (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Advanced Algebra and Logic (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (116 citations), Artificial Intelligence (121 citations) and Energy Engineering and Power Technology (11 citations). Hoon Kang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include George Vachtsevanos, Jeill Oh, Ho‐Hyun Park, Hojun Lee, Sungwook Yu, Jianlin Cheng, Jian Cheng, Jinhui Li, Shuo Huang and H. S. Lee. Their work appears in journals such as IEEE Transactions on Automatic Control, Sensors and IEEE Transactions on Energy Conversion.
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.