Pyung‐Hun Chang

1.2k citations
54 papers · 953 indexed · h-index 19
Topics
Adaptive Control of Nonlinear Systems (13 papers)Iterative Learning Control Systems (11 papers)Teleoperation and Haptic Systems (9 papers)

In The Last Decade

Pyung‐Hun Chang

52 papers receiving 914 citations

Peers

Pyung‐Hun Chang
Comparison fields: 5 of 87
  • Control and Systems Engineering 609
  • Mechanical Engineering 279
  • Biomedical Engineering 239
  • Cognitive Neuroscience 92
  • Radiology, Nuclear Medicine and Imaging 88
Replace Ehsan T. Esfahani with:
Ehsan T. Esfahani United States
Jinung An South Korea
Duygun Erol Barkana Türkiye
C.L. Teo Singapore
Jorge Martins Portugal
Helge Würdemann United Kingdom
Saeed Behzadipour Iran
Jadran Lenarčič Slovenia
Martin J.-D. Otis Canada
Erwin Aertbeliën Belgium
Pyung‐Hun Chang relative to Ehsan T. Esfahani United States Ehsan T. Esfahani's profile →
Citations per field
00.5×2.9×
Ehsan T. Esfahani · 1×
Citations per year

Countries citing papers authored by Pyung‐Hun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pyung‐Hun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pyung‐Hun Chang. 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 Pyung‐Hun Chang. The network helps show where Pyung‐Hun Chang may publish in the future.

Co-authorship network of co-authors of Pyung‐Hun Chang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 17
4 37
5 8
6
Control and synchronization of Lorenz systems via robust backstepping technique
2
7 16
8 19
9 8
10 24
11 12
12 23
13
A Global Optimal Approach for Robot Kinematics Design using the Grid Method
7
14 3
15 60
16 31
17
Task Oriented Design of Robot Kinematics using Grid Method and Its Applications to Nuclear Power Plant
2
18
An Enhanced Time Delay Observer for Nonlinera Systems
2
19 40
20 7

About Pyung‐Hun Chang

Pyung‐Hun Chang is a scholar working on Control and Systems Engineering, Rehabilitation and Mechanical Engineering, having authored 54 papers that have together received 953 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Iterative Learning Control Systems (11 papers) and Teleoperation and Haptic Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (609 citations), Human-Computer Interaction (52 citations) and Rehabilitation (57 citations). Pyung‐Hun Chang has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Juyi Park, Joon-Young Park, Hyung‐Soon Park, Sung Ho Jang, Eunjeong Lee, Maolin Jin, Sang Hoon Kang, Jinoh Lee, Jeong Pyo Seo and Bumjin Park. Their work appears in journals such as Journal of Sound and Vibration, Neuroreport and Neuroscience Letters.

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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