Chang‐Hee Won

1.1k citations
90 papers · 690 · h-index 14

Impact in

Papers in

Chang‐Hee Won

78 papers receiving 638 citations

Peers

Chang‐Hee Won
Comparison fields: 5 of 87
  • Aerospace Engineering 232
  • Statistics, Probability and Uncertainty 52
  • Control and Systems Engineering 143
  • Computer Vision and Pattern Recognition 93
  • Radiology, Nuclear Medicine and Imaging 81
Replace Matthias Humt with:
Matthias Humt Germany
Laurent Valentin Jospin Switzerland
Juri Ranieri Switzerland
Zongben Xu China
Tao Du United States
Xiaoxu Wang China
Peng Yue China
R. Smolikova United States
Tarek A. Mahmoud Egypt
Xiaolong Wu China
Chang‐Hee Won relative to Matthias Humt Germany Matthias Humt's profile →
Citations per field
00.5×10×20×30×39×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199474
2 201050
3 199949
4 200647
5 200833
6 200328
7 200328
8 200927
9 201124
10 202123
11 202117
12 200217
13 199914
14 201413
15 200212
16 201312
17 201111
18 200711
19 20189
20
Efficacy of a Virtual Teaching Assistant in an Open Laboratory Environment for Electric Circuits.
20189

About Chang‐Hee Won

Chang‐Hee Won is a scholar working on Aerospace Engineering, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 90 papers that have together received 690 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (14 papers), Advanced Control Systems Optimization (12 papers), Ultrasound Imaging and Elastography (10 papers), Spacecraft Dynamics and Control (8 papers), Adaptive Control of Nonlinear Systems (8 papers), Optical Imaging and Spectroscopy Techniques (8 papers), Electrical and Bioimpedance Tomography (8 papers) and Inertial Sensor and Navigation (7 papers). The work is most often cited by research in Aerospace Engineering (232 citations), Statistics, Probability and Uncertainty (52 citations), Control and Systems Engineering (143 citations), Computer Vision and Pattern Recognition (93 citations) and Radiology, Nuclear Medicine and Imaging (81 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, M.K. Sain, Billie F. Spencer, Ick Choy, Ji‐Hyeon Song, Zexi Liu, Mongi A. Abidi, Andreas Koschan and Hong Chang. Their work appears in journals such as IEEE Sensors Journal, Aerospace Science and Technology, IEEE Transactions on Automatic Control, Sensors 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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