Chang‐Hee Won

1.1k citations
98 papers · 785 · h-index 14

Impact in

Papers in

Chang‐Hee Won

86 papers receiving 725 citations

Peers

Chang‐Hee Won
Comparison fields: 5 of 92
  • Aerospace Engineering 247
  • Statistics, Probability and Uncertainty 64
  • Control and Systems Engineering 186
  • Computer Vision and Pattern Recognition 105
  • Radiology, Nuclear Medicine and Imaging 83
Replace Matthias Humt with:
Matthias Humt Germany
Tamer Inanc United States
Anthony Quinn Ireland
Craig T. Lawrence United States
Jianxun Li China
Niklas Wahlström Sweden
Tao Du United States
Zongben Xu China
Xiaoxu Wang China
Chang‐Hee Won relative to Matthias Humt Germany Matthias Humt's profile →
Citations per field
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Matthias Humt · 1×
Citations per year

Countries citing papers authored by Chang‐Hee Won

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Hee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chang‐Hee Won, 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 Chang‐Hee Won Line = papers co-authored together Chang‐Hee Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199480
2 201054
3 199951
4 200651
5 200843
6 200329
7 200928
8 200028
9 200327
10 201125
11 202123
12 202119
13 200217
14 199915
15 200213
16 201413
17 201312
18 200712
19 201111
20
Efficacy of a Virtual Teaching Assistant in an Open Laboratory Environment for Electric Circuits.
201810

About Chang‐Hee Won

Chang‐Hee Won is a scholar working on Control and Systems Engineering, Aerospace Engineering, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 98 papers that have together received 785 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (15 papers), Advanced Control Systems Optimization (15 papers), Ultrasound Imaging and Elastography (11 papers), Adaptive Control of Nonlinear Systems (9 papers), Electrical and Bioimpedance Tomography (9 papers), Optical Imaging and Spectroscopy Techniques (8 papers), Spacecraft Dynamics and Control (8 papers) and Control Systems and Identification (7 papers). The work is most often cited by research in Aerospace Engineering (247 citations), Statistics, Probability and Uncertainty (64 citations), Control and Systems Engineering (186 citations), Computer Vision and Pattern Recognition (105 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Chang‐Hee Won has collaborated with scholars based in United States and South Korea. Frequent co-authors include Hyo‐Sung Ahn, Jong-Ha Lee, Billie F. Spencer, M.K. Sain, Michael K. Sain, Ick Choy, S.R. Liberty, Mongi A. Abidi, Hong Chang and Seong G. Kong. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Automatic Control, Aerospace Science and Technology and Sensors.

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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