Ji Yeong Lee
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 10
- Control and Dynamics of Mobile Robots 5
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- Robotic Path Planning Algorithms 13
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- Modular Robots and Swarm Intelligence 2
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- Robotics and Sensor-Based Localization 9
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- Robotic Locomotion and Control 5
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- Force Microscopy Techniques and Applications 2
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- Advanced MEMS and NEMS Technologies 2
- Co-authors
- Jintai ChungChang-Soo HanDong‐Hyung KimHowie ChosetLerrel PintoJae‐Pyoung AhnKyoosik ShinSung Hoon Kim
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionMechanical Engineering
- Journals
- IEEE Access (1 paper)Journal of Sound and Vibration (1 paper)IEEE Transactions on Robotics and Automation (1 paper)
- Partner nations
- South KoreaPakistanJapan
In The Last Decade
Ji Yeong Lee
25 papers receiving 317 citations
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 135
- Computer Vision and Pattern Recognition 83
- Mechanical Engineering 148
- Computer Graphics and Computer-Aided Design 8
- Automotive Engineering 25
Countries citing papers authored by Ji Yeong Lee
This map shows the geographic impact of Ji Yeong 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 Ji Yeong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Yeong Lee more than expected).
Fields of papers citing papers by Ji Yeong Lee
This network shows the impact of papers produced by Ji Yeong 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 Ji Yeong Lee. The network helps show where Ji Yeong Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ji Yeong Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 8 | |
| 5 | 2016 | 9 | |
| 6 | 2015 | 6 | |
| 7 | 2014 | 5 | |
| 8 | 2012 | 6 | |
| 9 | 2012 | 6 | |
| 10 | 2012 | 15 | |
| 11 | 2012 | 29 | |
| 12 | Sensor-based navigation algorithm for car-like robot to generate completed GVG | 2011 | 0 |
| 13 | 2011 | 4 | |
| 14 | 2011 | 101 | |
| 15 | 2011 | 10 | |
| 16 | 2011 | 6 | |
| 17 | 2011 | 6 | |
| 18 | 2011 | 37 | |
| 19 | 2010 | 8 | |
| 20 | 2001 | 17 |
About Ji Yeong Lee
Ji Yeong Lee is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 26 papers that have together received 327 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robot Manipulation and Learning (10 papers), Robotics and Sensor-Based Localization (9 papers), Control and Dynamics of Mobile Robots (5 papers), Robotic Locomotion and Control (5 papers), Modular Robots and Swarm Intelligence (2 papers), Force Microscopy Techniques and Applications (2 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Control and Systems Engineering (135 citations), Computer Vision and Pattern Recognition (83 citations) and Mechanical Engineering (148 citations). Ji Yeong Lee has collaborated with scholars based in South Korea, Pakistan and Japan. Frequent co-authors include Jintai Chung, Chang-Soo Han, Dong‐Hyung Kim, Chang-Soo Han, Howie Choset, Lerrel Pinto, Jae‐Pyoung Ahn, Kyoosik Shin, Sung Hoon Kim and S. Hashi. Their work appears in journals such as IEEE Access, Journal of Sound and Vibration and IEEE Transactions on Robotics and Automation.
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.