Kuk-Hyun Han
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Jong-Hwan KimYe-Hoon KimYong‐Jae KimJun-Su JangJeff LiebermanWalter Dan StiehlCynthia BreazealDaniel Fuentes
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Quantum Computing Algorithms and Architecture (7 papers)Teleoperation and Haptic Systems (3 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Partner nations
- South KoreaUnited States
In The Last Decade
Kuk-Hyun Han
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 1.3k
- Computer Networks and Communications 380
- Electrical and Electronic Engineering 347
- Computational Theory and Mathematics 322
- Control and Systems Engineering 297
Countries citing papers authored by Kuk-Hyun Han
This map shows the geographic impact of Kuk-Hyun Han'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 Kuk-Hyun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuk-Hyun Han more than expected).
Fields of papers citing papers by Kuk-Hyun Han
This network shows the impact of papers produced by Kuk-Hyun Han. 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 Kuk-Hyun Han. The network helps show where Kuk-Hyun Han may publish in the future.
Co-authorship network of co-authors of Kuk-Hyun Han
This figure shows the co-authorship network connecting the top 25 collaborators of Kuk-Hyun Han. A scholar is included among the top collaborators of Kuk-Hyun Han 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 Kuk-Hyun Han. Kuk-Hyun Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 68 | |
| 3 | 36 | |
| 4 | 82 | |
| 5 | 4 | |
| 6 | 34 | |
| 7 | 15 | |
| 8 | A Quantum-Inspired Evolutionary Computing Algorithm for Disk Allocation Method | 24 |
| 9 | 46 | |
| 10 | Robot Soccer System of SOTY 5 for Middle League MiroSot | 7 |
| 11 | 140 | |
| 12 | 20 | |
| 13 | 15 | |
| 14 | Quantum-inspired evolutionary algorithm for a class of combinatorial optimizationbreakdown → | 1091 |
| 15 | Introduction of Quantum-inspired Evolutionary Algorithm | 8 |
| 16 | Genetic quantum algorithm and its application to combinatorial optimization problembreakdown → | 458 |
| 17 | 3 | |
| 18 | Analysis of Quantum-Inspired Evolutionary Algorithm | 12 |
| 19 | 66 |
About Kuk-Hyun Han
Kuk-Hyun Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (322 citations) and Industrial and Manufacturing Engineering (175 citations). Kuk-Hyun Han has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jong-Hwan Kim, Ye-Hoon Kim, Yong‐Jae Kim, Jun-Su Jang, Jeff Lieberman, Walter Dan Stiehl, Cynthia Breazeal, Daniel Fuentes, Jesse Gray and Matt Berlin. Their work appears in journals such as Nature, IEEE Transactions on Evolutionary Computation and Pattern Recognition Letters.
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.