Jae-Bok Song

2.6k citations
166 papers · 1.8k indexed · h-index 24

Jae-Bok Song

138 papers receiving 1.8k citations

Peers

Jae-Bok Song
Comparison fields: 5 of 95
  • Control and Systems Engineering 1.0k
  • Biomedical Engineering 862
  • Mechanical Engineering 452
  • Computer Vision and Pattern Recognition 449
  • Aerospace Engineering 323
Replace Weiwei Wan with:
Weiwei Wan Japan
Fabrizio Flacco Italy
Torsten Kröger Germany
Jae‐Bok Song South Korea
Wyatt S. Newman United States
Arne Roennau Germany
David Navarro-Alarcón Hong Kong
Tsutomu Hasegawa Japan
Jaeheung Park South Korea
Ruediger Dillmann Germany
Jae-Bok Song relative to Weiwei Wan Japan Weiwei Wan's profile →
Citations per field
00.5×1.5×2.4×
Weiwei Wan · 1×
Citations per year

Countries citing papers authored by Jae-Bok Song

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jae-Bok Song

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 11
6 20
7 1
8
Data-based Assembly Failure State Estimation of mobile IT parts using a 6 DOF manipulator
1
9 32
10 48
11 5
12
A strategy for connector assembly using impedance control for industrial robots
3
13
Design of robotic surgical instrument for minimally invasive surgical robot system
1
14
Collision analysis and evaluation of collision safety for service robots working in human environments
17
15
Double Actuator Unit based on the Planetary Gear Train Capable of Position/Force Control
1
16
Development of a Joint Torque Sensor Fully Integrated with an Actuator
7
17
Reduction in Sample Size Using Topological Information for Monte Carlo Localization
1
18
Thinning Based Global Topological Map Building with Application to Localization
1
19
Installation Error Calibration by Using Levenberg-Marquardt Method on a Cubic Parallel Manipulator
2
20 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) and Robotic Path Planning Algorithms (40 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. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industry Applications.

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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