Daehee Won

995 citations
21 papers · 815 indexed · h-index 11

Impact in

    • Adaptive Control of Nonlinear Systems
    • Advanced Sensor and Control Systems
    • Iterative Learning Control Systems
    • Real-time simulation and control systems
    • Fault Detection and Control Systems
    • Hydraulic and Pneumatic Systems
    • Control Systems in Engineering

Papers in

Daehee Won

20 papers receiving 802 citations

Peers

Daehee Won
Comparison fields: 5 of 43
  • Control and Systems Engineering 640
  • Mechanical Engineering 636
  • Ocean Engineering 154
  • Automotive Engineering 30
  • Aerospace Engineering 46
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Citations per field
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Citations per year

Countries citing papers authored by Daehee Won

Since Specialization
Citations

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

Fields of papers citing papers by Daehee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daehee 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 Daehee Won Line = papers co-authored together Daehee Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014234
2 2013133
3 2012112
4 201786
5 202075
6 201467
7 201522
8 200820
9 201015
10 200615
11 200912
12 20068
13 20223
14 20093
15
Position tracking and flatness controller with disturbance observer in hydraulic servo systems
20112
16 20242
17 20152
18 20202
19
Cavitation Behavior of A5083 Alloy by Vibratory Cavitation Tester
19941
20
A Study on the Corrosion Inhibition Effects of Sodium Heptanoate for Carbon Steel in Aqueous Solution
20041

About Daehee Won

Daehee Won is a scholar working on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Information Systems and Ocean Engineering, having authored 21 papers that have together received 815 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (12 papers), Adaptive Control of Nonlinear Systems (6 papers), Advanced Sensor and Control Systems (6 papers), Control Systems in Engineering (5 papers), Oil and Gas Production Techniques (2 papers), Service-Oriented Architecture and Web Services (2 papers), Real-time simulation and control systems (2 papers) and Astro and Planetary Science (1 paper). The work is most often cited by research in Control and Systems Engineering (640 citations), Mechanical Engineering (636 citations), Ocean Engineering (154 citations), Automotive Engineering (30 citations) and Aerospace Engineering (46 citations). Daehee Won has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Wonhee Kim, Chung Choo Chung, Donghoon Shin, Masayoshi Tomizuka, Sangdeok Park, Sam Chung, Kwangsoo No, Yang Soo Kim, Byung‐Il Kim and Ohung Kwon. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Control Systems Technology, Journal of Electroceramics, Mechatronics and IEEE Transactions on Transportation Electrification.

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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