Jong-Hwan Kim

373 papers receiving 6.9k citations

Jong-Hwan Kim's Hit Papers

Genetic quantum algorithm and its application to combinatorial optimization problem 2002 · 457 citations
4570+8+16Years since publication2505007501000

Peers

Jong-Hwan Kim
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 2.0k
  • Control and Systems Engineering 1.9k
  • Artificial Intelligence 2.5k
  • Human-Computer Interaction 257
  • Computational Theory and Mathematics 737
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J. Andrew Bagnell United States
Tom Erez United States
Yuval Tassa United States
Hong Qiao China
Gianni A. Di Switzerland
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Chia‐Feng Juang Taiwan
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Citations per year

Countries citing papers authored by Jong-Hwan Kim

Since Specialization
Citations

This map shows the geographic impact of Jong-Hwan 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 Jong-Hwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong-Hwan Kim more than expected).

Fields of papers citing papers by Jong-Hwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Hwan 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 Jong-Hwan Kim. The network helps show where Jong-Hwan Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong-Hwan Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jong-Hwan Kim Line = papers co-authored together Jong-Hwan Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
Hit paper breakdown →
20021100
2
Genetic quantum algorithm and its application to combinatorial optimization problem
Hit paper breakdown →
2002457
3 2019212
4 1997169
5 2016144
6 2002141
7 1994109
8 2012101
9 201995
10
The 3 rd Generation of Robotics: Ubiquitous Robot.
200588
11 200287
12 201184
13 201184
14 200179
15 201877
16 199977
17 200171
18 201370
19 200669
20 201968

About Jong-Hwan Kim

Jong-Hwan Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering, having authored 403 papers that have together received 7.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (58 papers), Robotic Locomotion and Control (53 papers), Metaheuristic Optimization Algorithms Research (43 papers), Modular Robots and Swarm Intelligence (36 papers), Evolutionary Algorithms and Applications (35 papers), Advanced Multi-Objective Optimization Algorithms (29 papers), Robotics and Automated Systems (28 papers) and Robotics and Sensor-Based Localization (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Control and Systems Engineering (1.9k citations), Artificial Intelligence (2.5k citations), Human-Computer Interaction (257 citations) and Computational Theory and Mathematics (737 citations). Jong-Hwan Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Kuk-Hyun Han, Hyun Myung, Inbae Jeong, Jung–Min Yang, Deok-Hwa Kim, Seon‐Woo Lee, Young-Dae Hong, Ue-Hwan Kim, Seungjae Lee and Ye-Hoon Kim. Their work appears in journals such as IEEE Access, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics and Robotics and Autonomous Systems.

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.

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