Kyoungseok Han

1.1k total citations
56 papers, 736 citations indexed

About

Kyoungseok Han is a scholar working on Automotive Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Kyoungseok Han has authored 56 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Automotive Engineering, 28 papers in Control and Systems Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Kyoungseok Han's work include Vehicle Dynamics and Control Systems (26 papers), Electric and Hybrid Vehicle Technologies (18 papers) and Autonomous Vehicle Technology and Safety (13 papers). Kyoungseok Han is often cited by papers focused on Vehicle Dynamics and Control Systems (26 papers), Electric and Hybrid Vehicle Technologies (18 papers) and Autonomous Vehicle Technology and Safety (13 papers). Kyoungseok Han collaborates with scholars based in South Korea, United States and Austria. Kyoungseok Han's co-authors include Seibum B. Choi, Mooryong Choi, Byunghwan Lee, Kanghyun Nam, Giseo Park, Nan Li, Hong Soon Choi, Joonbum Park, Il Seouk Park and Jounghee Lee and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and Applied Thermal Engineering.

In The Last Decade

Kyoungseok Han

43 papers receiving 710 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyoungseok Han South Korea 18 576 356 207 119 114 56 736
Jiwei Feng China 12 437 0.8× 303 0.9× 113 0.5× 139 1.2× 50 0.4× 26 615
Bo Leng China 13 409 0.7× 209 0.6× 136 0.7× 52 0.4× 98 0.9× 67 541
Paul Venhovens United States 12 431 0.7× 210 0.6× 186 0.9× 51 0.4× 174 1.5× 44 624
Selim Solmaz Austria 14 405 0.7× 194 0.5× 187 0.9× 62 0.5× 162 1.4× 60 559
Ying Tian China 14 391 0.7× 323 0.9× 119 0.6× 115 1.0× 52 0.5× 36 686
Behrooz Mashadi Iran 18 550 1.0× 255 0.7× 294 1.4× 144 1.2× 161 1.4× 53 789
Ricardo de Castro Portugal 18 995 1.7× 399 1.1× 276 1.3× 463 3.9× 97 0.9× 79 1.2k
Haoxuan Dong China 15 507 0.9× 355 1.0× 104 0.5× 165 1.4× 54 0.5× 34 658
Yongjun Yan China 10 326 0.6× 208 0.6× 75 0.4× 59 0.5× 45 0.4× 32 462
Linfeng Zhao China 13 425 0.7× 287 0.8× 239 1.2× 59 0.5× 81 0.7× 84 633

Countries citing papers authored by Kyoungseok Han

Since Specialization
Citations

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

Fields of papers citing papers by Kyoungseok Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyoungseok 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 Kyoungseok Han. The network helps show where Kyoungseok Han may publish in the future.

Co-authorship network of co-authors of Kyoungseok Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kyoungseok Han. A scholar is included among the top collaborators of Kyoungseok 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 Kyoungseok Han. Kyoungseok Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kwon, Seok Joon, et al.. (2025). RL-MPC Framework for Data-driven Energy Management in Mild Hybrid Electric Vehicles. IFAC-PapersOnLine. 59(3). 85–90.
2.
Kim, Jung-Hyo, et al.. (2025). Tutorial on Predictive Control for Systems With Model Uncertainty Using Gaussian Process Regression. Journal of Institute of Control Robotics and Systems. 31(2). 78–86.
3.
Nguyen, Kim-Anh, et al.. (2024). Safe Trajectory Optimization and Efficient-Offline Robust Model Predictive Control for Autonomous Vehicle Lane Change. IEEE Transactions on Intelligent Vehicles. 10(6). 3871–3885.
4.
Lee, Jihyeong, et al.. (2024). Identifying vehicle characteristic target based on subjective ratings from drivers. Vehicle System Dynamics. 64(1). 27–49.
5.
6.
Han, Kyoungseok, et al.. (2023). Real-time estimation of longitudinal tire stiffness considering dynamic characteristics of tire. Mechatronics. 98. 103120–103120. 2 indexed citations
7.
Park, Joonbum, Kyoungseok Han, Hong Soon Choi, & Il Seouk Park. (2023). Cooling and dynamic performance of electric vehicle traction motor adopting direct slot cooling method. International Communications in Heat and Mass Transfer. 147. 106970–106970. 13 indexed citations
8.
Son, Young Seop, et al.. (2023). Linear Time-Varying MPC-Based Autonomous Emergency Steering Control for Collision Avoidance. IEEE Transactions on Vehicular Technology. 72(10). 12713–12727. 27 indexed citations
9.
Han, Kyoungseok, et al.. (2023). Safe Reinforcement Learning-based Driving Policy Design for Autonomous Vehicles on Highways. International Journal of Control Automation and Systems. 21(12). 4098–4110. 7 indexed citations
10.
Han, Kyoungseok, et al.. (2023). Lane Change–Intention Inference and Trajectory Prediction of Surrounding Vehicles on Highways. IEEE Transactions on Intelligent Vehicles. 8(7). 3813–3825. 23 indexed citations
11.
Han, Kyoungseok, et al.. (2023). State-Constrained Lane Change Trajectory Planning for Emergency Steering on Slippery Roads. IEEE Transactions on Vehicular Technology. 72(7). 8553–8565. 15 indexed citations
12.
Choi, Mooryong, et al.. (2023). Risk-informed decision-making and control strategies for autonomous vehicles in emergency situations. Accident Analysis & Prevention. 193. 107305–107305. 18 indexed citations
13.
Kim, Seungtaek, Kyoungseok Han, & Seibum B. Choi. (2023). Imitation Learning of Nonlinear Model Predictive Control for Emergency Collision Avoidance. IEEE Transactions on Intelligent Vehicles. 9(1). 2908–2922. 6 indexed citations
14.
Han, Kyoungseok, Nan Li, Eric Tseng, et al.. (2022). Improving autonomous vehicle in‐traffic safety using learning‐based action governor. Deep Blue (University of Michigan). 4(2). 3 indexed citations
15.
Li, Nan, Kyoungseok Han, Ilya Kolmanovsky, & Anouck Girard. (2021). Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gearshift Using Relaxed Mixed-Integer Nonlinear Programming. IEEE Transactions on Control Systems Technology. 30(4). 1473–1483. 6 indexed citations
16.
Han, Kyoungseok, et al.. (2021). Lane-Merging Strategy for a Self-Driving Car in Dense Traffic Using the Stackelberg Game Approach. Electronics. 10(8). 894–894. 20 indexed citations
17.
Han, Kyoungseok, et al.. (2020). Adaptive Robust Game-Theoretic Decision Making Strategy for Autonomous Vehicles in Highway. IEEE Transactions on Vehicular Technology. 69(12). 14484–14493. 37 indexed citations
18.
Han, Kyoungseok, et al.. (2019). Optimized Design of Multi-Speed Transmissions for Battery Electric Vehicles. 816–821. 9 indexed citations
19.
Han, Kyoungseok, Byunghwan Lee, & Seibum B. Choi. (2019). Development of an Antilock Brake System for Electric Vehicles Without Wheel Slip and Road Friction Information. IEEE Transactions on Vehicular Technology. 68(6). 5506–5517. 36 indexed citations
20.
Lee, Jounghee, et al.. (2018). Real-Time Longitudinal Location Estimation of Vehicle Center of Gravity. International Journal of Automotive Technology. 19(4). 651–658. 19 indexed citations

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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