Changsu Ha

487 total citations
16 papers, 348 citations indexed

About

Changsu Ha is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Changsu Ha has authored 16 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 9 papers in Control and Systems Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Changsu Ha's work include Teleoperation and Haptic Systems (10 papers), Adaptive Control of Nonlinear Systems (5 papers) and Distributed Control Multi-Agent Systems (5 papers). Changsu Ha is often cited by papers focused on Teleoperation and Haptic Systems (10 papers), Adaptive Control of Nonlinear Systems (5 papers) and Distributed Control Multi-Agent Systems (5 papers). Changsu Ha collaborates with scholars based in South Korea, Germany and France. Changsu Ha's co-authors include Dongjun Lee, Hyoung Il Son, Paolo Robuffo Giordano, HH Bülthoff, Antonio Franchi, Hai-Nguyen Nguyen, Sangyul Park, Inyoung Jang, Gun Rae Cho and Yongseok Lee and has published in prestigious journals such as Automatica, IEEE/ASME Transactions on Mechatronics and Robotics and Autonomous Systems.

In The Last Decade

Changsu Ha

14 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changsu Ha South Korea 7 235 135 110 103 84 16 348
Lucio R. Salinas Argentina 13 255 1.1× 129 1.0× 140 1.3× 128 1.2× 91 1.1× 29 399
Nicola Mimmo Italy 12 279 1.2× 49 0.4× 130 1.2× 61 0.6× 62 0.7× 46 416
Davide Bicego France 8 280 1.2× 122 0.9× 219 2.0× 233 2.3× 72 0.9× 14 475
Patricio Ordaz Mexico 10 259 1.1× 89 0.7× 57 0.5× 29 0.3× 46 0.5× 53 387
H. Noborio Japan 11 159 0.7× 71 0.5× 174 1.6× 290 2.8× 68 0.8× 61 385
Mostafa Mohammadi Iran 9 138 0.6× 60 0.4× 79 0.7× 50 0.5× 31 0.4× 18 270
Naveen Kuppuswamy Switzerland 9 160 0.7× 50 0.4× 69 0.6× 106 1.0× 38 0.5× 35 326
Sangyul Park South Korea 7 210 0.9× 80 0.6× 162 1.5× 205 2.0× 60 0.7× 7 343
Thomas Rühr Germany 9 168 0.7× 58 0.4× 89 0.8× 142 1.4× 17 0.2× 16 341
Quentin Sablé Netherlands 5 154 0.7× 83 0.6× 134 1.2× 156 1.5× 35 0.4× 5 290

Countries citing papers authored by Changsu Ha

Since Specialization
Citations

This map shows the geographic impact of Changsu 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 Changsu Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changsu Ha more than expected).

Fields of papers citing papers by Changsu Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changsu 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 Changsu Ha. The network helps show where Changsu Ha may publish in the future.

Co-authorship network of co-authors of Changsu Ha

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

All Works

16 of 16 papers shown
2.
Ahn, Joonmo, et al.. (2023). RGBD Fusion Grasp Network with Large-Scale Tableware Grasp Dataset. 2947–2954. 1 indexed citations
3.
An, Hyun‐Ju, Changsu Ha, Jisun Lee, et al.. (2020). Preventive Effect of Garlic Administration on Respiratory Toxicity Induced through Intratracheal Instillation of Fine Dust (PM 10 ) in Rats. Korean Journal of Environmental Health Sciences. 46(6). 667–675. 1 indexed citations
4.
Ha, Changsu, et al.. (2018). Teleoperation of a platoon of distributed wheeled mobile robots with predictive display. Autonomous Robots. 42(8). 1819–1836. 14 indexed citations
6.
7.
Ha, Changsu, et al.. (2017). Passivity-based control of manipulator-stage systems on vertical flexible beam. 429–435. 6 indexed citations
8.
Nguyen, Hai-Nguyen, Changsu Ha, & Dongjun Lee. (2015). Mechanics, control and internal dynamics of quadrotor tool operation. Automatica. 61. 289–301. 52 indexed citations
9.
Ha, Changsu, Sangyul Park, Inyoung Jang, et al.. (2015). Whole-body multi-modal semi-autonomous teleoperation of mobile manipulator systems. 164–170. 15 indexed citations
10.
Ha, Changsu, et al.. (2014). Passivity-based adaptive backstepping control of quadrotor-type UAVs. Robotics and Autonomous Systems. 62(9). 1305–1315. 95 indexed citations
11.
Ha, Changsu, et al.. (2013). Semi-autonomous haptic teleoperation of multiple omni-directional mobile robots. 320–323. 1 indexed citations
12.
Lee, Dongjun, Antonio Franchi, Hyoung Il Son, et al.. (2013). Semiautonomous Haptic Teleoperation Control Architecture of Multiple Unmanned Aerial Vehicles. IEEE/ASME Transactions on Mechatronics. 18(4). 1334–1345. 138 indexed citations
13.
Ha, Changsu & Dongjun Lee. (2013). Vision-based teleoperation of unmanned aerial and ground vehicles. 1465–1470. 8 indexed citations
14.
Ha, Changsu, et al.. (2013). Vision-Based Collision-Free Formation Control of Multi-UGVs using a Camera on UAV. Journal of the Korean Society for Precision Engineering. 30(1). 53–58. 1 indexed citations
15.
Ha, Changsu, et al.. (2012). Preliminary results on passive velocity field control of quadrotors. 54. 378–379. 3 indexed citations
16.
Lee, Dongjun & Changsu Ha. (2012). Mechanics and Control of Quadrotors for Tool Operation. 177–184. 8 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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