Young Sam Lee

1.8k total citations · 1 hit paper
35 papers, 1.4k citations indexed

About

Young Sam Lee is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Young Sam Lee has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 8 papers in Electrical and Electronic Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Young Sam Lee's work include Stability and Control of Uncertain Systems (10 papers), Adaptive Control of Nonlinear Systems (7 papers) and Advanced Control Systems Optimization (7 papers). Young Sam Lee is often cited by papers focused on Stability and Control of Uncertain Systems (10 papers), Adaptive Control of Nonlinear Systems (7 papers) and Advanced Control Systems Optimization (7 papers). Young Sam Lee collaborates with scholars based in South Korea, Canada and United States. Young Sam Lee's co-authors include Wook Hyun Кwon, Young Soo Moon, PooGyeon Park, Soohee Han, Hyon Lim, Choon Ki Ahn, Woongyong Lee, Young-Jun Lee, Jaemin Baek and Soo Hee Han and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Control.

In The Last Decade

Young Sam Lee

32 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Delay-dependent robust stabilization of uncertain state-delayed systems

2001 1.1k citations Young Soo Moon, Wook Hyun Кwon et al. profile →

Peers

Young Sam Lee

CSE

CNC

CTM

SNP

EEE

Valter J. S. Leite Brazil

Lubomı́r Bakule Czechia

Haijiao Yang China

Claude Iung France

Cunchen Gao China

Abdelaziz Hmamed Morocco

Kiyotsugu Takaba Japan

Haranath Kar India

Ding Zhai China

Valter J. S. Leite Brazil

Young Sam Lee

1.2k ×1.0

CSE

276 ×0.4

CNC

219 ×0.7

CTM

66 ×0.7

SNP

78 ×1.0

EEE

Citations per year, relative to Young Sam Lee Young Sam Lee (= 1×) peers Valter J. S. Leite

Countries citing papers authored by Young Sam Lee

Since Specialization

Citations

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

Fields of papers citing papers by Young Sam Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Sam Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Young Sam Lee. A scholar is included among the top collaborators of Young Sam 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 Young Sam Lee. Young Sam 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

1.

Han, Soohee, et al.. (2025). Reinforcement Learning to Achieve Real-time Control of a Quadruple Inverted Pendulum. International Journal of Control Automation and Systems. 23(9). 2797–2806. 1 indexed citations

2.

Lee, Young Sam, et al.. (2025). Transition Control of a Rotary Double Inverted Pendulum Using Direct Collocation. Mathematics. 13(4). 640–640. 1 indexed citations

3.

Lee, Young Sam, et al.. (2025). Transition Control of a Double-Inverted Pendulum System Using Sim2Real Reinforcement Learning. Machines. 13(3). 186–186. 2 indexed citations

4.

Kwon, Wookyong, et al.. (2024). Suppressing violent sloshing flow in food serving robots. Robotics and Autonomous Systems. 179. 104728–104728.

5.

Kwon, Wookyong, et al.. (2024). Adaptive time-delay estimation error compensation for application to robot manipulators. Control Engineering Practice. 151. 106029–106029. 2 indexed citations

6.

Lee, Changhyeon, et al.. (2023). Reinforcement learning to achieve real-time control of triple inverted pendulum. Engineering Applications of Artificial Intelligence. 128. 107518–107518. 11 indexed citations

7.

Lee, Young-Jun, et al.. (2023). A Cost-Effective Lightning Current Measuring Instrument with Wide Current Range Detection Using Dual Signal Conditioning Circuits. Sensors. 23(6). 3349–3349. 1 indexed citations

8.

Lee, Young-Jun, et al.. (2020). A Low-Cost Surge Current Detection Sensor with Predictive Lifetime Display Function for Maintenance of Surge Protective Devices. Sensors. 20(8). 2310–2310. 7 indexed citations

9.

Lee, Young Sam, et al.. (2019). Embedded Model Predictive Control for Enhancing Tracking Performance of a Ball-and-Plate System. IEEE Access. 7. 39652–39659. 21 indexed citations

10.

Lee, Young Sam, et al.. (2017). A Light-Weight Rapid Control Prototyping System Based on Open Source Hardware. IEEE Access. 5. 11118–11130. 11 indexed citations

11.

Lee, Young Sam & Soohee Han. (2014). A minimum variance FIR filter with an error bound and its application to the current measuring circuitry. Measurement. 50. 115–120. 7 indexed citations

12.

Lee, Young Sam, et al.. (2014). Swing-up Control of a Single Inverted Pendulum on a Cart With Input and Output Constraints. 475–482. 1 indexed citations

13.

Lee, Young Sam, Mahmoud Tarokh, & Soohee Han. (2013). Explicit input and output feedback control for discrete-time systems. International Journal of Control Automation and Systems. 11(3). 482–488. 1 indexed citations

14.

Ahn, Choon Ki & Young Sam Lee. (2012). Sets of generalized H 2 exponential stability criteria for switched multilayer dynamic neural networks. Advances in Difference Equations. 2012(1). 1 indexed citations

15.

Ahn, Choon Ki, et al.. (2010). Adaptive <I>H</I><SUB>∞</SUB> Synchronization for Chaotic Systems with Unknown Parameters and Time-Delay. Advanced Science Letters. 3(4). 531–536. 1 indexed citations

16.

Lim, Hyon & Young Sam Lee. (2009). Real-time single camera SLAM using fiducial markers. 2009 ICCAS-SICE. 177–182. 24 indexed citations

17.

Lee, Young Sam, Soo Hee Han, & Wook Hyun Кwon. (2008). RECEDING HORIZON H∞ CONTROL FOR SYSTEMS WITH A STATE-DELAY. Asian Journal of Control. 8(1). 63–71. 10 indexed citations

18.

Lee, Young Sam, et al.. (2005). Delay-dependent Guaranteed Cost Control for Uncertain State-delayed Systems. International Journal of Control Automation and Systems. 3(4). 524–532. 9 indexed citations

19.

Kim, Pyung Soo & Young Sam Lee. (2001). A Constrained Receding Horizon Estimator Estimator with FIR Structures. 3(4). 289–292. 2 indexed citations

20.

Lee, Young Sam, Young Soo Moon, & Wook Hyun Кwon. (2001). Delay-dependent guaranteed cost control for uncertain state-delayed systems. 3376–3381 vol.5. 53 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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