Jae-Bok Song
-
- Robot Manipulation and Learning 65
- Robotic Mechanisms and Dynamics 28
-
- Robotic Path Planning Algorithms 40
- Biomedical Engineering top 5%
- Prosthetics and Rehabilitation Robotics 27
- Soft Robotics and Applications 27
- Robotic Locomotion and Control 21
- Human-Computer Interaction top 5%
-
- Robotics and Sensor-Based Localization 49
-
- Teleoperation and Haptic Systems 21
- Co-authors
- Byeong-Sang KimHwi-Su KimJung-Jun ParkSoo‐Yong LeeMunsang KimMincheol KimKuk-Hyun AhnYong‐Ju Lee
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jae-Bok Song
138 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Control and Systems Engineering 1.0k
- Computer Vision and Pattern Recognition 449
- Biomedical Engineering 862
- Industrial and Manufacturing Engineering 166
- Human-Computer Interaction 75
Countries citing papers authored by Jae-Bok Song
This map shows the geographic impact of Jae-Bok Song'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 Jae-Bok Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Bok Song more than expected).
Fields of papers citing papers by Jae-Bok Song
This network shows the impact of papers produced by Jae-Bok Song. 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 Jae-Bok Song. The network helps show where Jae-Bok Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae-Bok Song, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 1 | |
| 8 | Data-based Assembly Failure State Estimation of mobile IT parts using a 6 DOF manipulator | 2018 | 1 |
| 9 | 2016 | 32 | |
| 10 | 2015 | 48 | |
| 11 | 2015 | 5 | |
| 12 | A strategy for connector assembly using impedance control for industrial robots | 2012 | 3 |
| 13 | Design of robotic surgical instrument for minimally invasive surgical robot system | 2012 | 1 |
| 14 | Collision analysis and evaluation of collision safety for service robots working in human environments | 2009 | 17 |
| 15 | Double Actuator Unit based on the Planetary Gear Train Capable of Position/Force Control | 2006 | 1 |
| 16 | Development of a Joint Torque Sensor Fully Integrated with an Actuator | 2005 | 7 |
| 17 | Reduction in Sample Size Using Topological Information for Monte Carlo Localization | 2005 | 1 |
| 18 | Thinning Based Global Topological Map Building with Application to Localization | 2003 | 1 |
| 19 | Installation Error Calibration by Using Levenberg-Marquardt Method on a Cubic Parallel Manipulator | 2003 | 2 |
| 20 | 2000 | 1 |
About Jae-Bok Song
Jae-Bok Song is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 166 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (65 papers), Robotics and Sensor-Based Localization (49 papers), Robotic Path Planning Algorithms (40 papers), Robotic Mechanisms and Dynamics (28 papers), Prosthetics and Rehabilitation Robotics (27 papers), Soft Robotics and Applications (27 papers), Teleoperation and Haptic Systems (21 papers) and Robotic Locomotion and Control (21 papers). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Computer Vision and Pattern Recognition (449 citations) and Biomedical Engineering (862 citations). Jae-Bok Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Byeong-Sang Kim, Hwi-Su Kim, Jung-Jun Park, Soo‐Yong Lee, Munsang Kim, Jung-Jun Park, Mincheol Kim, Kuk-Hyun Ahn, Yong‐Ju Lee and Hong‐Seok Kim.
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.