Soon‐Geul Lee

2.3k citations
130 papers · 1.8k · h-index 24

Impact in

Papers in

Soon‐Geul Lee

113 papers receiving 1.8k citations

Peers

Soon‐Geul Lee
Comparison fields: 5 of 100
  • Control and Systems Engineering 1.3k
  • Automotive Engineering 435
  • Mechanical Engineering 646
  • Computer Vision and Pattern Recognition 233
  • Mechanics of Materials 191
Replace Xincheng Tian with:
Xincheng Tian China
Dieter Schramm Germany
Jae‐Bok Song South Korea
Javier Cuadrado Spain
Aurelio Piazzi Italy
Mohamed Abderrahim Spain
Tin Lun Lam China
Tatsuo Narikiyo Japan
M. F. Golnaraghi Canada
Goele Pipeleers Belgium
Soon‐Geul Lee relative to Xincheng Tian China Xincheng Tian's profile →
Citations per field
00.5×3.5×
Xincheng Tian · 1×
Citations per year

Countries citing papers authored by Soon‐Geul Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soon‐Geul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Soon‐Geul Lee, 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 Soon‐Geul Lee Line = papers co-authored together Soon‐Geul Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2 2013116
3 201193
4 201274
5 201373
6 201772
7 201370
8 201359
9 201457
10 201756
11 201351
12 201346
13 201842
14 201441
15 201337
16 201433
17 201831
18 201331
19 201330
20 201530

About Soon‐Geul Lee

Soon‐Geul Lee is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 1.8k indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (42 papers), Vibration and Dynamic Analysis (19 papers), Control and Dynamics of Mobile Robots (19 papers), Vehicle Dynamics and Control Systems (16 papers), Robotic Locomotion and Control (15 papers), Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (14 papers) and Hydraulic and Pneumatic Systems (13 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Automotive Engineering (435 citations), Mechanical Engineering (646 citations), Computer Vision and Pattern Recognition (233 citations) and Mechanics of Materials (191 citations). Soon‐Geul Lee has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Lê Anh Tuấn, Jae-Jun Kim, Viet-Hung Dang, Won Gu Lee, Yong Tae Kang, Byung‐Soo Kim, Jae Won Lee, Jung‐Yeul Jung, Donghan Kim and Nak Young Chong. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, Journal of Vibration and Control, IEEE Transactions on Systems Man and Cybernetics Systems, Mechanical Systems and Signal Processing and IEEE Access.

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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