Daehie Hong
- Control and Systems Engineering top 2%
- Biomedical Engineering top 5%
- Mechanical Engineering top 5%
- Building and Construction top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Baeksuk ChuKyungmo JungChang-Soo HanJae-Bok SongSteven A. VelinskyMyo Taeg LimTae Soo BaeKuiwon Choi
- Topics
- Robot Manipulation and Learning (22 papers)Hydraulic and Pneumatic Systems (20 papers)Soft Robotics and Applications (18 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Daehie Hong
131 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Control and Systems Engineering 688
- Biomedical Engineering 616
- Mechanical Engineering 598
- Building and Construction 337
- Computer Vision and Pattern Recognition 164
Countries citing papers authored by Daehie Hong
This map shows the geographic impact of Daehie Hong'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 Daehie Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehie Hong more than expected).
Fields of papers citing papers by Daehie Hong
This network shows the impact of papers produced by Daehie Hong. 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 Daehie Hong. The network helps show where Daehie Hong may publish in the future.
Co-authorship network of co-authors of Daehie Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Daehie Hong. A scholar is included among the top collaborators of Daehie Hong 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 Daehie Hong. Daehie Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | Simple structured tactile sensor for tissue recognition in minimal invasion surgery | 2 |
| 12 | A Path Planning for Autonomous Excavation Based On Energy Function Minimization | 2 |
| 13 | 4 | |
| 14 | Robotic Automation Technologies in Construction: A Review | 33 |
| 15 | Installation Error Calibration by Using Levenberg-Marquardt Method on a Cubic Parallel Manipulator | 2 |
| 16 | Effect of Joint Errors in a Cubic Parallel Device | 1 |
| 17 | Mechanical Characterization of Self-Expandable Esophageal Metal Stents | 1 |
| 18 | 8 | |
| 19 | Error Model and Accuracy Analysis of a Cubic Parallel Device | 7 |
| 20 | A Two-Dimensional Position Sensor Using Cable Extension Transducers | 0 |
About Daehie Hong
Daehie Hong is a scholar working on Control and Systems Engineering, Building and Construction and Mechanical Engineering, having authored 143 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (22 papers), Hydraulic and Pneumatic Systems (20 papers) and Soft Robotics and Applications (18 papers). The work is most often cited by research in Control and Systems Engineering (688 citations), Building and Construction (337 citations) and Mechanical Engineering (598 citations). Daehie Hong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Baeksuk Chu, Kyungmo Jung, Chang-Soo Han, Jae-Bok Song, Steven A. Velinsky, Myo Taeg Lim, Tae Soo Bae, Kuiwon Choi, M. Anbar and Mu-Seong Mun. Their work appears in journals such as Journal of Applied Physics, IEEE Access and Energy.
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.