Jung-Su Ha
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- Robotic Path Planning Algorithms 14
- Generative Adversarial Networks and Image Synthesis 2
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 7
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- Guidance and Control Systems 4
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- Machine Learning and Algorithms 2
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- Distributed Control Multi-Agent Systems 5
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- Advanced Mathematical Modeling in Engineering 2
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- Model Reduction and Neural Networks 2
- Co-authors
- Marc ToussaintDanny DriessHan‐Lim ChoiOzgur S. OguzRuss TedrakeWolfgang HönigYoung-Jae MinJu-Jang Lee
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Partner nations
- South KoreaGermanyCanada
In The Last Decade
Jung-Su Ha
24 papers receiving 205 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 104
- Control and Systems Engineering 115
- Aerospace Engineering 54
- Computer Graphics and Computer-Aided Design 6
- Artificial Intelligence 53
Countries citing papers authored by Jung-Su Ha
This map shows the geographic impact of Jung-Su 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 Jung-Su Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung-Su Ha more than expected).
Fields of papers citing papers by Jung-Su Ha
This network shows the impact of papers produced by Jung-Su 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 Jung-Su Ha. The network helps show where Jung-Su Ha may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Jung-Su Ha, 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 | 2023 | 1 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 14 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 10 | |
| 11 | Adaptive Path-Integral Approach for Representation Learning and Planning | 2018 | 0 |
| 12 | 2018 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 1 | |
| 15 | 2015 | 9 | |
| 16 | 2014 | 13 | |
| 17 | 2013 | 4 | |
| 18 | Position control of mobile two wheeled inverted pendulum robot by sliding mode control | 2012 | 3 |
| 19 | 2012 | 1 | |
| 20 | 1995 | 14 |
About Jung-Su Ha
Jung-Su Ha is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 27 papers that have together received 216 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Robot Manipulation and Learning (7 papers), Distributed Control Multi-Agent Systems (5 papers), Guidance and Control Systems (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Machine Learning and Algorithms (2 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Control and Systems Engineering (115 citations) and Aerospace Engineering (54 citations). Jung-Su Ha has collaborated with scholars based in South Korea, Germany and Canada. Frequent co-authors include Marc Toussaint, Danny Driess, Han‐Lim Choi, Ozgur S. Oguz, Russ Tedrake, Wolfgang Hönig, Young-Jae Min, Ju-Jang Lee, Jeong hwan Jeon and Youngjin Park. Their work appears in journals such as Automatica, IEEE Access and Journal of Sound and Vibration.
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.