Changsu Ha

490 citations
16 papers · 354 · h-index 7

Impact in

Papers in

Changsu Ha

14 papers receiving 348 citations

Peers

Changsu Ha
Comparison fields: 5 of 40
  • Control and Systems Engineering 239
  • Human-Computer Interaction 30
  • Computer Vision and Pattern Recognition 105
  • Aerospace Engineering 110
  • Computer Networks and Communications 85
Replace Lucio R. Salinas with:
Lucio R. Salinas Argentina
Wang Yuan China
H. Noborio Japan
Patricio Ordaz Mexico
Mostafa Mohammadi Iran
Ziyuan Jiao China
Davide Bicego France
Salua Hamaza Netherlands
Thomas Rühr Germany
Dave Hershberger United States
Changsu Ha relative to Lucio R. Salinas Argentina Lucio R. Salinas's profile →
Citations per field
00.5×3.8×
Lucio R. Salinas · 1×
Citations per year

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-authors

The 21 scholars most cited alongside Changsu Ha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Changsu Ha Line = papers co-authored together Changsu Ha links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2013141
2 201497
3 201552
4 201516
5 201814
6 20128
7 20138
8 20176
9 20174
10 20123
11 20131
12 20201
13 20231
14 20131
15 20181
16 20240

About Changsu Ha

Changsu Ha is a scholar working on Mechanical Engineering, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 16 papers that have together received 354 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (10 papers), Distributed Control Multi-Agent Systems (5 papers), Adaptive Control of Nonlinear Systems (5 papers), Robotic Path Planning Algorithms (4 papers), Dynamics and Control of Mechanical Systems (3 papers), Control and Dynamics of Mobile Robots (3 papers), Soft Robotics and Applications (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Control and Systems Engineering (239 citations), Human-Computer Interaction (30 citations), Computer Vision and Pattern Recognition (105 citations), Aerospace Engineering (110 citations) and Computer Networks and Communications (85 citations). Changsu Ha has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Dongjun Lee, Hyoung Il Son, Antonio Franchi, Paolo Robuffo Giordano, HH Bülthoff, Hai-Nguyen Nguyen, Inyoung Jang, Gun Rae Cho, Yongseok Lee and Sangyul Park. Their work appears in journals such as Robotics and Autonomous Systems, Autonomous Robots, IEEE/ASME Transactions on Mechatronics, Automatica and Journal of the Korean Society for Precision Engineering.

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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