Chang‐Hee Won

1k citations
94 papers · 784 · h-index 14

Impact in

Papers in

Chang‐Hee Won

84 papers receiving 738 citations

Peers

Chang‐Hee Won
Comparison fields: 5 of 66
  • Aerospace Engineering 226
  • Control and Systems Engineering 154
  • Statistics, Probability and Uncertainty 37
  • Radiology, Nuclear Medicine and Imaging 79
  • Computer Vision and Pattern Recognition 83
Replace Yanhua Liang with:
Yanhua Liang China
Juris Vagners United States
Zongben Xu China
Mattia Segù Switzerland
Michael E. Mortenson
Vivek Agarwal United States
Mohammed Benjelloun France
Wenjie Lu China
Michael G. Kapteyn United States
Jiliang Zhang China
Chang‐Hee Won relative to Yanhua Liang China Yanhua Liang's profile →
Citations per field
00.5×2×4×6×8×9.9×
Yanhua Liang · 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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199482
2 201054
3 200652
4 199951
5 200840
6 200028
7 200328
8 200928
9 202128
10 200327
11 201126
12 202121
13 200218
14 199915
15 200714
16 201314
17 200213
18 201413
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 Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering, Aerospace Engineering, Computational Theory and Mathematics and Biomedical Engineering, having authored 94 papers that have together received 784 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (20 papers), Stability and Control of Uncertain Systems (16 papers), Optical Imaging and Spectroscopy Techniques (16 papers), Spacecraft Dynamics and Control (15 papers), Ultrasound Imaging and Elastography (15 papers), Adaptive Dynamic Programming Control (13 papers), Inertial Sensor and Navigation (7 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Aerospace Engineering (226 citations), Control and Systems Engineering (154 citations), Statistics, Probability and Uncertainty (37 citations), Radiology, Nuclear Medicine and Imaging (79 citations) and Computer Vision and Pattern Recognition (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, Mahaveer Kumar Sain, Michael K. Sain, Ick Choy, Stanley R. Liberty, Andreas F. Koschan, Seong G. Kong and Mongi A. Abidi. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Automatic Control, The Journal of the Astronautical Sciences and Automatica.

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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