Heeyun Lee

809 total citations
30 papers, 626 citations indexed

About

Heeyun Lee is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Heeyun Lee has authored 30 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Automotive Engineering, 21 papers in Electrical and Electronic Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Heeyun Lee's work include Electric and Hybrid Vehicle Technologies (22 papers), Electric Vehicles and Infrastructure (18 papers) and Advanced Battery Technologies Research (15 papers). Heeyun Lee is often cited by papers focused on Electric and Hybrid Vehicle Technologies (22 papers), Electric Vehicles and Infrastructure (18 papers) and Advanced Battery Technologies Research (15 papers). Heeyun Lee collaborates with scholars based in South Korea, China and United States. Heeyun Lee's co-authors include Suk Won, Namwook Kim, Yeong-il Park, Kyung-Hyun Kim, Jongryeol Jeong, Young B. Kim, Won‐Young Lee, Woong Lee, Kyung‐Hyun Kim and Gu Young Cho and has published in prestigious journals such as Applied Energy, IEEE Access and Energy.

In The Last Decade

Heeyun Lee

26 papers receiving 603 citations

Peers

Heeyun Lee

EEE

CSE

TRANS

Ryan McGee United States

Feng Ding China

Engin Özatay United States

Changhui Qu China

Luis Leon Ojeda France

Jianhao Zhou China

Xingguo Tan China

Anthony M. Phillips United States

Dominik Karbowski United States

Ryan McGee United States

Heeyun Lee

727 ×1.5

477 ×1.1

EEE

216 ×1.4

CSE

86 ×1.8

TRANS

132 ×2.7

Citations per year, relative to Heeyun Lee Heeyun Lee (= 1×) peers Ryan McGee

Countries citing papers authored by Heeyun Lee

Since Specialization

Citations

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

Fields of papers citing papers by Heeyun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heeyun Lee

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

All Works

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20 of 20 papers shown

Lee, Heeyun, et al.. (2025). Optimal Vehicle-to-Grid Charge Scheduling for Electric Vehicles Based on Dynamic Programming. Energies. 18(5). 1109–1109.

Kim, Sooyoung, Heeyun Lee, Jinsung Kim, & Giseo Park. (2024). Online adaptive identification of clutch torque transmissibility for the drivability consistency of high-performance production vehicles. Control Engineering Practice. 147. 105926–105926. 4 indexed citations

Kim, Jaeyeon, et al.. (2022). Pre-diagnosis of flooding and drying in proton exchange membrane fuel cells by bagging ensemble deep learning models using long short-term memory and convolutional neural networks. Energy. 266. 126441–126441. 35 indexed citations

Lee, Heeyun, et al.. (2022). Analysis of Electrochemical Behavior of PEMFC Humidified with NaCl Solution Mist Using an Ultrasonic Vibrator. Journal of the Korean Society for Precision Engineering. 39(12). 939–946. 1 indexed citations

Oh, Tae Hoon, et al.. (2022). Hybrid Model Predictive Control for Hybrid Electric Vehicle Energy Management Using an Efficient Mixed-Integer Formulation. IFAC-PapersOnLine. 55(7). 501–506. 4 indexed citations

Lee, Heeyun, Kyung-Hyun Kim, Namwook Kim, & Suk Won. (2022). Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning. Applied Energy. 313. 118460–118460. 71 indexed citations

Lee, Woong, et al.. (2021). A Real-Time Intelligent Energy Management Strategy for Hybrid Electric Vehicles Using Reinforcement Learning. IEEE Access. 9. 72759–72768. 31 indexed citations

Lee, Heeyun & Suk Won. (2021). Energy Management Strategy of Fuel Cell Electric Vehicles Using Model-Based Reinforcement Learning With Data-Driven Model Update. IEEE Access. 9. 59244–59254. 47 indexed citations

Kim, Namwook, Chunhua Zheng, Jongryeol Jeong, et al.. (2021). Generic Representations for Hybrid Powertrain Configurations. International Journal of Automotive Technology. 22(6). 1683–1693. 2 indexed citations

10.

Lee, Heeyun, Namwook Kim, & Suk Won. (2020). Model-Based Reinforcement Learning for Eco-Driving Control of Electric Vehicles. IEEE Access. 8. 202886–202896. 56 indexed citations

11.

Lee, Heeyun, et al.. (2020). Comparative Analysis of Energy Management Strategies for HEV: Dynamic Programming and Reinforcement Learning. IEEE Access. 8. 67112–67123. 92 indexed citations

12.

Lee, Heeyun, et al.. (2020). Online Data-Driven Energy Management of a Hybrid Electric Vehicle Using Model-Based Q-Learning. IEEE Access. 8. 84444–84454. 47 indexed citations

13.

Lee, Heeyun & Suk Won. (2020). Reinforcement Learning Based on Equivalent Consumption Minimization Strategy for Optimal Control of Hybrid Electric Vehicles. IEEE Access. 9. 860–871. 36 indexed citations

14.

Lee, Heeyun, et al.. (2018). A Power Management Strategy for Parallel PHEV Using Deep Q-Networks. 1–5. 19 indexed citations

15.

Kim, Kyung-Hyun, et al.. (2018). Optimization of Speed Trajectory for Eco-Driving Considering Road Characteristics. 1–5. 4 indexed citations

16.

Lee, Heeyun, Jongryeol Jeong, Yeong-il Park, & Suk Won. (2017). Energy management strategy of hybrid electric vehicle using battery state of charge trajectory information. International Journal of Precision Engineering and Manufacturing-Green Technology. 4(1). 79–86. 38 indexed citations

17.

Lee, Heeyun, et al.. (2016). Study on Power Management Strategy of HEV using Dynamic Programming. World Electric Vehicle Journal. 8(1). 274–280. 11 indexed citations

18.

Lee, Heeyun, et al.. (2016). Steering Consuming Energy and Fuel Efficiency Analysis Depending on Steering System Model. Transactions of Korean Society of Automotive Engineers. 24(4). 401–407. 1 indexed citations

19.

Lee, Heeyun, et al.. (2015). Energy Management Strategy of Hybrid Electric Vehicle using Stochastic Dynamic Programming. SAE technical papers on CD-ROM/SAE technical paper series. 1. 12 indexed citations

20.

Lee, Heeyun, Yeong-il Park, & Suk Won. (2015). Power management strategy of hybrid electric vehicle using power split ratio line control strategy based on dynamic programming. 3. 1739–1742. 5 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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