Moon-Hong Baeg
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Jae‐Han ParkJi‐Hun BaeDong‐Hyuk LeeHyeonjun ParkJaeheung ParkSung-Woo ParkSungwoo ParkSang–Rok Oh
- Topics
- Robot Manipulation and Learning (17 papers)Robotics and Sensor-Based Localization (16 papers)Soft Robotics and Applications (12 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- South KoreaJapanAustralia
In The Last Decade
Moon-Hong Baeg
48 papers receiving 659 citations
Peers
Comparison fields: 5 of 59
- Control and Systems Engineering 456
- Biomedical Engineering 301
- Computer Vision and Pattern Recognition 159
- Mechanical Engineering 157
- Aerospace Engineering 100
Countries citing papers authored by Moon-Hong Baeg
This map shows the geographic impact of Moon-Hong Baeg'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 Moon-Hong Baeg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moon-Hong Baeg more than expected).
Fields of papers citing papers by Moon-Hong Baeg
This network shows the impact of papers produced by Moon-Hong Baeg. 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 Moon-Hong Baeg. The network helps show where Moon-Hong Baeg may publish in the future.
Co-authorship network of co-authors of Moon-Hong Baeg
This figure shows the co-authorship network connecting the top 25 collaborators of Moon-Hong Baeg. A scholar is included among the top collaborators of Moon-Hong Baeg 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 Moon-Hong Baeg. Moon-Hong Baeg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 140 | |
| 3 | 97 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 64 | |
| 7 | 3D-based visual assistance system for teleoperation | 1 |
| 8 | 10 | |
| 9 | 43 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Extracting extrinsic parameters of a laser scanner and a camera using EM | 3 |
| 15 | A New Robotic 3D Inspection System of Automotive Screw Hole | 10 |
| 16 | 5 | |
| 17 | Constructing a Sensor-Network Based Smart Home Environment for Service Robots | 0 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Moon-Hong Baeg
Moon-Hong Baeg is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 50 papers that have together received 692 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (17 papers), Robotics and Sensor-Based Localization (16 papers) and Soft Robotics and Applications (12 papers). The work is most often cited by research in Control and Systems Engineering (456 citations), Industrial and Manufacturing Engineering (92 citations) and Computer Vision and Pattern Recognition (159 citations). Moon-Hong Baeg has collaborated with scholars based in South Korea, Japan and Australia. Frequent co-authors include Jae‐Han Park, Ji‐Hun Bae, Dong‐Hyuk Lee, Hyeonjun Park, Jaeheung Park, Sung-Woo Park, Sungwoo Park, Sang–Rok Oh, Doik Kim and Fumio Harashima. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Sensors and IEEE/ASME Transactions on Mechatronics.
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.