Pyung‐Hun Chang

96 total papers · 1.2k total citations
54 papers, 948 citations indexed

About

Pyung‐Hun Chang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pyung‐Hun Chang has authored 54 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 16 papers in Mechanical Engineering and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pyung‐Hun Chang's work include Adaptive Control of Nonlinear Systems (13 papers), Iterative Learning Control Systems (11 papers) and Teleoperation and Haptic Systems (9 papers). Pyung‐Hun Chang is often cited by papers focused on Adaptive Control of Nonlinear Systems (13 papers), Iterative Learning Control Systems (11 papers) and Teleoperation and Haptic Systems (9 papers). Pyung‐Hun Chang collaborates with scholars based in South Korea, United States and Türkiye. Pyung‐Hun Chang's 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 Soo‐Jin Lee and has published in prestigious journals such as Journal of Sound and Vibration, Neuroreport and Neuroscience Letters.

In The Last Decade

Pyung‐Hun Chang

52 papers receiving 912 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pyung‐Hun Chang	607	279	236	91	88	54	948
Carl A. Moore	335 0.6×	361 1.3×	342 1.4×	112 1.2×	130 1.5×	44	1.1k
Jorge Martins	608 1.0×	260 0.9×	278 1.2×	39 0.4×	42 0.5×	54	1.0k
Carlos Rossa	386 0.6×	386 1.4×	810 3.4×	73 0.8×	53 0.6×	83	1.1k
Juan Manuel Ramírez-Cortés	450 0.7×	270 1.0×	69 0.3×	88 1.0×	176 2.0×	90	1.1k
R. Moser	307 0.5×	427 1.5×	539 2.3×	87 1.0×	48 0.5×	49	890
Ehsan T. Esfahani	219 0.4×	127 0.5×	289 1.2×	196 2.2×	30 0.3×	65	939
R.E. Ellis	163 0.3×	192 0.7×	508 2.2×	116 1.3×	106 1.2×	61	1.1k
Kourosh Zareinia	208 0.3×	368 1.3×	720 3.1×	114 1.3×	45 0.5×	69	1.2k
Sunil L. Kukreja	311 0.5×	94 0.3×	296 1.3×	202 2.2×	25 0.3×	64	889
Duygun Erol Barkana	280 0.5×	140 0.5×	314 1.3×	165 1.8×	24 0.3×	81	923

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

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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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