Jung-Su Ha

406 total citations
27 papers, 216 citations indexed

About

Jung-Su Ha is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Jung-Su Ha has authored 27 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Control and Systems Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Jung-Su Ha's work include Robotic Path Planning Algorithms (14 papers), Robot Manipulation and Learning (7 papers) and Distributed Control Multi-Agent Systems (5 papers). Jung-Su Ha is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), Robot Manipulation and Learning (7 papers) and Distributed Control Multi-Agent Systems (5 papers). Jung-Su Ha collaborates with scholars based in South Korea, Germany and Canada. Jung-Su Ha's 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 and has published in prestigious journals such as Automatica, IEEE Access and Journal of Sound and Vibration.

In The Last Decade

Jung-Su Ha

24 papers receiving 205 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jung-Su Ha South Korea	10	115	104	54	53	27	27	216
Marco Antônio de Souza Leite Cuadros Brazil	9	83 0.7×	126 1.2×	67 1.2×	68 1.3×	21 0.8×	22	245
Tobia Marcucci United States	8	111 1.0×	125 1.2×	28 0.5×	35 0.7×	21 0.8×	10	205
Bernard Michini United States	6	110 1.0×	88 0.8×	142 2.6×	43 0.8×	37 1.4×	8	270
Chunsheng Hua China	8	80 0.7×	146 1.4×	100 1.9×	39 0.7×	27 1.0×	26	295
Marco Morales United States	9	69 0.6×	165 1.6×	97 1.8×	30 0.6×	29 1.1×	28	202
Julian Nubert Switzerland	5	129 1.1×	66 0.6×	69 1.3×	29 0.5×	11 0.4×	10	260
Andrew Dobson United States	9	96 0.8×	160 1.5×	77 1.4×	47 0.9×	35 1.3×	11	205
Rahul Shome United States	8	124 1.1×	162 1.6×	89 1.6×	44 0.8×	32 1.2×	25	270
Saroj Kumar India	10	147 1.3×	191 1.8×	46 0.9×	53 1.0×	35 1.3×	22	257
Nohaidda Sariff Malaysia	6	102 0.9×	215 2.1×	125 2.3×	44 0.8×	40 1.5×	24	263

Countries citing papers authored by Jung-Su Ha

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jung-Su Ha

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

All Works

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20 of 20 papers shown

Ha, Jung-Su, et al.. (2023). Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. 1 indexed citations

Ha, Jung-Su, Danny Driess, & Marc Toussaint. (2022). Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input. IEEE Robotics and Automation Letters. 7(4). 10857–10864. 4 indexed citations

Toussaint, Marc, et al.. (2022). Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 13753–13760. 14 indexed citations

Toussaint, Marc, Jung-Su Ha, & Ozgur S. Oguz. (2021). Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning. 6600–6606. 14 indexed citations

Ha, Jung-Su, et al.. (2021). A diffusion wavelets-based multiscale framework for inverse optimal control of stochastic systems. International Journal of Systems Science. 52(11). 2228–2240.

Driess, Danny, Jung-Su Ha, & Marc Toussaint. (2021). Learning to solve sequential physical reasoning problems from a scene image. The International Journal of Robotics Research. 40(12-14). 1435–1466. 9 indexed citations

Driess, Danny, Jung-Su Ha, Russ Tedrake, & Marc Toussaint. (2021). Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input. 14298–14305. 19 indexed citations

Driess, Danny, Ozgur S. Oguz, Jung-Su Ha, & Marc Toussaint. (2020). Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. 29 indexed citations

Toussaint, Marc, Jung-Su Ha, & Danny Driess. (2020). Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning. IEEE Robotics and Automation Letters. 5(4). 6209–6216. 28 indexed citations

10.

Min, Young-Jae, et al.. (2019). A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking. IEEE Access. 7. 163589–163603. 10 indexed citations

11.

Ha, Jung-Su, et al.. (2018). Adaptive Path-Integral Approach for Representation Learning and Planning. International Conference on Learning Representations.

12.

Ha, Jung-Su, et al.. (2018). Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems. arXiv (Cornell University). 3 indexed citations

13.

Ha, Jung-Su & Han‐Lim Choi. (2018). On periodic optimal solutions of persistent sensor planning for continuous-time linear systems. Automatica. 99. 138–148. 3 indexed citations

14.

Ha, Jung-Su & Han‐Lim Choi. (2017). Multiscale abstraction, planning and control using diffusion wavelets for stochastic optimal control problems. 24. 687–694. 1 indexed citations

15.

Ha, Jung-Su, et al.. (2015). A stochastic game-theoretic approach for analysis of multiple cooperative air combat. 3728–3733. 9 indexed citations

16.

Ha, Jung-Su, et al.. (2014). MDP-based mission planning for multi-UAV persistent surveillance. 831–834. 13 indexed citations

17.

Ha, Jung-Su, et al.. (2013). A successive approximation-based approach for optimal kinodynamic motion planning with nonlinear differential constraints. 1. 3623–3628. 4 indexed citations

18.

Ha, Jung-Su & Ju-Jang Lee. (2012). Position control of mobile two wheeled inverted pendulum robot by sliding mode control. International Conference on Control, Automation and Systems. 715–719. 3 indexed citations

19.

Lee, Joon-Woo, et al.. (2012). Temporal Waypoint Revision Method to Solve Path Mismatch Problem of Hierarchical Integrated Path Planning for Mobile Vehicle. Journal of Institute of Control Robotics and Systems. 18(7). 664–668. 1 indexed citations

20.

Ha, Jung-Su, et al.. (1995). Analysis of mimo mechanical systems using the vectorial four pole parameter method. Journal of Sound and Vibration. 180(2). 333–350. 14 indexed citations

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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