Sehoon Ha
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Co-authors
- Katsu YamaneC. Karen LiuJoohyung KimJie TanAlexander AlspachStelian CorosYuting YeYunfei Bai
- Topics
- Robotic Locomotion and Control (29 papers)Reinforcement Learning in Robotics (18 papers)Robot Manipulation and Learning (17 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEACM Transactions on Graphics
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Sehoon Ha
57 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 510
- Control and Systems Engineering 494
- Biomedical Engineering 433
- Artificial Intelligence 253
- Mechanical Engineering 178
Countries citing papers authored by Sehoon Ha
This map shows the geographic impact of Sehoon Ha'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 Sehoon Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sehoon Ha more than expected).
Fields of papers citing papers by Sehoon Ha
This network shows the impact of papers produced by Sehoon Ha. 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 Sehoon Ha. The network helps show where Sehoon Ha may publish in the future.
Co-authorship network of co-authors of Sehoon Ha
This figure shows the co-authorship network connecting the top 25 collaborators of Sehoon Ha. A scholar is included among the top collaborators of Sehoon Ha 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 Sehoon Ha. Sehoon Ha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 38 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | Learning to Walk in the Real World with Minimal Human Effort | 16 |
| 18 | 56 | |
| 19 | 60 | |
| 20 | 46 |
About Sehoon Ha
Sehoon Ha is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (29 papers), Reinforcement Learning in Robotics (18 papers) and Robot Manipulation and Learning (17 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (91 citations), Computer Vision and Pattern Recognition (510 citations) and Control and Systems Engineering (494 citations). Sehoon Ha has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Katsu Yamane, C. Karen Liu, Joohyung Kim, Jie Tan, Alexander Alspach, Stelian Coros, Yuting Ye, Yunfei Bai, Naoki Yokoyama and Sumit Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and ACM Transactions on Graphics.
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.